General Issues in Clinical Assessment and Diagnosis

Part I - General Issues in Clinical Assessment and Diagnosis

Published online by Cambridge University Press: 06 December 2019

Edited by

Martin Sellbom and

Julie A. Suhr

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Martin Sellbom: Affiliation:
University of Otago, New Zealand
Julie A. Suhr: Affiliation:
Ohio University

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Keywords

standardization reliability validity norms utility classical test theory item response theory Multicultural assessment cultural formulation cultural validity threats to validity ethics professional issues assessment test data and test security assessment and the Internet test revisions informed consent confidentiality obsolete tests feedback classification Diagnostic and Statistical Manual of Mental Disorders (DSM)Hierarchical Taxonomy of Psychopathology (HiTOP)nosology Research Domain Criteria (RDoC)malingering feigning response bias dissimulation validity scales ambulatory assessment ecological momentary assessment assessment ecological momentary intervention mobile technology treatment experience sampling method psychological assessment collaborative/therapeutic assessment therapeutic assessment extended inquiry assessment intervention sessions therapeutic story altering life narratives epistemic trust psychological report writing psychological assessment psychological report template evidence-based methods

Type: Chapter
Information: The Cambridge Handbook of Clinical Assessment and Diagnosis , pp. 7 - 110

DOI: https://doi.org/10.1017/9781108235433 [Opens in a new window]

Publisher: Cambridge University Press

Print publication year: 2019

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References

Achenbach, T. M. (2001). What are norms and why do we need valid ones? Clinical Psychology: Science and Practice, 8, 446–450.Google Scholar

AERA (American Educational Research Association), APA (American Psychological Association), & NCME (National Council on Measurement in Education). (2014). Standards for educational and psychological testing. Washington, DC: AERA.Google Scholar

Anastasi, A., & Urbina, S. (1997). Psychological testing (7th ed.). Upper Saddle River, NJ: Prentice-Hall.Google Scholar

Andrich, D. (1978). A rating formulation for ordered response categories. Psychometrika, 43, 561–573.CrossRef Google Scholar

Andrich, D. (2004). Controversy and the Rasch model. Medical Care, 42, 1–10.Google Scholar

Arbisi, P. A., Ben-Porath, Y. S., & McNulty, J. (2002). A comparison of MMPI-2 validity in African American and Caucasian psychiatric inpatients. Psychological Assessment, 14, 3–15.CrossRef Google Scholar PubMed

Baker, F. (2001). The basics of item response theory. College Park, MD: ERIC Clearinghouse on Assessment and Evaluation.Google Scholar

Barry, A. E., Chaney, B. H., Piazza-Gardner, A. K., & Chavarria, E. A. (2014). Validity and reliability reporting in the field of health education and behavior: A review of seven journals. Health Education and Behavior, 41, 12–18.CrossRef Google Scholar PubMed

Ben-Porath, Y. S., & Tellegen, A. (2008). The Minnesota Multiphasic Personality Inventory – 2 Restructured Form: Manual for administration, scoring, and interpretation. Minneapolis: University of Minnesota Press.Google Scholar

Bingenheimer, J. B., Raudenbush, S. W., Leventhal, T., & Brooks-Gunn, J. (2005). Measurement equivalence and differential item functioning in family psychology. Journal of Family Psychology, 19, 441–455.Google Scholar

Bock, R. D. (1972). Estimating item parameters and latent ability when responses are scored in two or more nominal categories. Psychometrika, 37, 29–51.Google Scholar

Brooks, B. L., Strauss, E., Sherman, E. M. S., Iverson, G. L., & Slick, D. J. (2009). Developments in neuropsychological assessment: Refining psychometric and clinical interpretive methods. Canadian Psychology, 50, 196–209.CrossRef Google Scholar

Bush, S. S., Ruff, R. M., Tröster, A. I., Barth, J. T., Koffler, S. P., Pliskin, N. H., Reynolds, C. R., & Silver, C. H. (National Academy of Neuropsychology Policy & Planning Committee). (2005). Symptom validity assessment: Practice issues and medical necessity. Archives of Clinical Neuropsychology, 20, 419–426.Google Scholar

Chmielewski, M., Clark, L. A., Bagby, R. M., & Watson, D. (2015). Method matters: Understanding diagnostic reliability in DSM-IV and DSM-5. Journal of Abnormal Psychology, 124, 764–769.Google Scholar

Cicchetti, D. V. (1994). Guidelines, criteria, and rules of thumb for evaluating normed and standardized assessment instruments in psychology. Psychological Assessment, 6, 284–290.Google Scholar

Cronbach, L. J., Gleser, G. C., Nanda, H., & Rajaratnum, N. (1972). The dependability of behavioral measures: Theory of generalizability for scores and profiles. New York: John Wiley & Sons.Google Scholar

Cronbach, L. J., & Meehl, P. E. (1955). Construct validity in psychological tests. Psychological Bulletin, 52, 281–302.Google Scholar

Dunn, T. J., Baguley, T., & Brunsden, V. (2014). From alpha to omega: A practical solution to the pervasive problem of internal consistency estimation. British Journal of Psychology, 105, 399–412.Google Scholar

Fariña, F., Redondo, L., Seijo, D., Novo, M., & Arce, R. (2017). A meta-analytic review of the MMPI validity scales and indexes to detect defensiveness in custody evaluations. International Journal of Clinical and Health Psychology, 17, 128–138.Google Scholar

Ferguson, G. A. (1942). Item selection by the constant progress. Psychometrika, 7, 19–29.Google Scholar

Fernandez, K., Boccaccini, M. T., & Noland, R. M. (2007). Professionally responsible test selection for Spanish-speaking clients: A four-step approach for identifying and selecting translated tests. Professional Psychology: Research and Practice, 38, 363–374.Google Scholar

Fortney, J. C., Unützer, J., Wrenn, G., Pyne, J. M., Smith, G. R., Schoenbaum, M., & Harbin, H. T. (2017). A tipping point for measurement-based care. Psychiatric Services, 68, 179–188.Google Scholar

Fuentes, K., & Cox, B.J. (1997). Prevalence of anxiety disorders in elderly adults: A critical analysis. Journal of Behavior Therapy and Experimental Psychiatry, 28, 269–279.Google Scholar

Haynes, S. N., Richard, D. C. S., & Kubany, E. S. (1995). Content validity in psychological assessment: A functional approach to concepts and methods. Psychological Assessment, 7, 238–247.Google Scholar

Haynes, S. N., Smith, G., & Hunsley, J. (2019). Scientific foundations of clinical assessment (2nd ed.). New York: Taylor & Francis.Google Scholar

Henson, R., Kogan, L., & Vacha-Haase, T. (2001). A reliability generalization study of the Teacher Efficacy Scale and related instruments. Educational and Psychological Measurement, 61, 404–420.Google Scholar

Hogan, T. P. (2014). Psychological testing: A practical introduction (3rd ed.). Hoboken, NJ: John Wiley & Sons.Google Scholar

Hogan, T. P., Benjamin, A., & Brezinski, K. L. (2000). Reliability methods: A note on the frequency of use of various types. Educational and Psychological Measurement, 60, 523–531.Google Scholar

Hunsley, J., & Mash, E. J. (Eds.). (2018a). A guide to assessments that work. New York: Oxford University Press.Google Scholar

Hunsley, J., & Mash, E. J. (2018b). Developing criteria for evidence-based assessment: An introduction to assessments that work. In Hunsley, J. & Mash, E. J. (Eds.), A guide to assessments that work (pp. 3–14). New York: Oxford University Press.Google Scholar

Hunsley., J., & Meyer, G. J. (2003). The incremental validity of psychological testing and assessment: Conceptual, methodological, and statistical issues. Psychological Assessment, 15, 446–455.Google Scholar

Hurl, K., Wightman, J. K., Haynes, S. N., & Virués-Ortega, J. (2016). Does a pre-intervention functional assessment increase intervention effectiveness? A meta-analysis of within-subject interrupted time-series studies. Clinical Psychology Review, 47, 71–84.Google Scholar

Kendall, P. C., Marrs-Garcia, A., Nath, S. R., & Sheldrick, R. C. (1999). Normative comparisons for the evaluation of clinical significance. Journal of Consulting and Clinical Psychology, 67, 285–299.Google Scholar

Kieffer, K. M., & Reese, R. J. (2002). A reliability generalization study of the Geriatric Depression Scale (GDS). Educational and Psychological Measurement, 62, 969–994.CrossRef Google Scholar

Kroenke, K., Spitzer, R. L., & Williams, J. B. W. (2001). The PHQ-9: The validity of a brief depression severity measure. Journal of General Internal Medicine, 16, 606–613.Google Scholar

Krueger, R. F., Derringer, J., Markon, K. E., Watson, D., & Skodol, A. E. (2012). Initial construction of a maladaptive personality trait model and inventory for DSM-5. Psychological Medicine, 42, 1879–1890.Google Scholar

Lambert, M. J., & Shimokawa, K. (2011). Collecting client feedback. Psychotherapy, 48, 72–79.Google Scholar

Lord, F. (1952). A theory of test scores. Richmond, VA: Psychometric Corporation.Google Scholar

Masters, G. N. (1982). A Rasch model for partial credit scoring. Psychometrika, 47, 149–174.Google Scholar

McGrath, R. E. (2001). Toward more clinically relevant assessment research. Journal of Personality Assessment, 77, 307–332.CrossRef Google Scholar PubMed

McGrath, R. E., Mitchell, M., Kim, B. H., & Hough, L. (2010). Evidence for response bias as a source of error variance in applied assessment. Psychological Bulletin, 136, 450–470.Google Scholar

McGrew, K. S., LaForte, E. M., & Schrank, F. A. (2014). Technical manual: Woodcock-Johnson IV. Rolling Meadows, IL: RiversideGoogle Scholar

Merten, T., Dandachi-FitzGerald, B., Hall, V., Schmand, B. A., Santamaría, P., & González-Ordi, H. (2013). Symptom validity assessment in European countries: Development and state of the art. Clínica y Salud, 24, 129–138.Google Scholar

Messick, S. (1995). Validity of psychological assessment: Validation of inferences from persons’ responses and performances as scientific inquiry into score meaning. American Psychologist, 50, 741–749.Google Scholar

Milfont, T. L., & Fischer, R. (2010). Testing measurement invariance across groups: Applications in cross-cultural research. International Journal of Psychological Research, 3, 111–121.Google Scholar

Miller, C. S., Kimonis, E. R., Otto, R. K., Kline, S. M., & Wasserman, A. L. (2012). Reliability of risk assessment measures used in sexually violent predator proceedings. Psychological Assessment, 24, 944–953.Google Scholar

Morash, V. S., & McKerracher, A. (2017). Low reliability of sighted-normed verbal assessment scores when administered to children with visual impairments. Psychological Assessment, 29, 343–348.Google Scholar

Morey, L. C. (1991). The Personality Assessment Inventory professional manual. Odessa, FL: Psychological Assessment Resources.Google Scholar

Moskowitz, D. S., Russell, J. J., Sadikaj, G., & Sutton, R. (2009). Measuring people intensively. Canadian Psychology, 50, 131–140.Google Scholar

Muraki, E. (1990). Fitting a polytomous item response model to Likert-type data. Applied Psychological Measurement, 14, 59–71.Google Scholar

Muraki, E. (1992). A generalized partial credit model: application of an EM algorithm. Applied Psychological Measurement, 16, 159–176.Google Scholar

Murphy, K. R., & Davidshofer, C. O. (2005). Psychological testing: Principles and applications (6th ed.). New York: Pearson.Google Scholar

Nelson-Gray, R. O. (2003). Treatment utility of psychological assessment. Psychological Assessment, 15, 521–531.Google Scholar

Newton, P. E., & Shaw, S. D. (2013). Standards for talking and thinking about validity. Psychological Methods, 18, 301–319.Google Scholar

Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). New York: McGraw-Hill.Google Scholar

Paulhus, D. L. (1998). Manual for the Paulhus Deception Scales: BIDR Version 7. Toronto: Multi-Health Systems.Google Scholar

Reisse, S. P., & Revicki, D. A. (Eds.). (2015). Handbook of item response theory modeling. New York: Routledge.Google Scholar

Revelle, W., & Zinbarg, R.E. (2009). Coefficients alpha, beta, omega and the glb: Comments on Sijtsma. Psychometrika, 74, 145–154.Google Scholar

Rodebaugh, T. L., Sculling, R. B., Langer, J. K., Dixon, D. J., Huppert, J. D., Bernstein, A., … Lenze, E. J. (2016). Unreliability as a threat to understanding psychopathology: The cautionary tale of attentional bias. Journal of Abnormal Psychology, 125, 840–851.Google Scholar

Rohling, M. L., Larrabee, G. J., Greiffenstein, M. F., Ben-Porath, Y. S., Lees-Haley, P., Green, P., & Greve, K. W. (2011). A misleading review of response bias: Response to McGrath, Mitchell, Kim, & Hough (2010). Psychological Bulletin, 137, 708–712.Google Scholar

Rousse, S. V. (2007). Using reliability generalization methods to explore measurement error: An illustration using the MMPI-2 PSY-5 scales. Journal of Personality Assessment, 88, 264–275.Google Scholar

Samejima, F. (1969). Estimation of latent ability using a response pattern of graded scores (Psychometric Monograph No. 17). Richmond, VA: Psychometric Society. www.psychometrika.org/journal/online/MN17.pdf Google Scholar

Schmidt, F. L., & Hunter, J. E. (1977). Development of a general solution to the problem of validity generalization. Journal of Applied Psychology, 62, 529–540.Google Scholar

Sechrest, L. (1963). Incremental validity: A recommendation. Educational and Psychological Measurement, 23, 153–158.Google Scholar

Smid, W. J., Kamphuis, J. H., Wever, E. C., & Van Beek, D. J. (2014). A comparison of the predictive properties of the nine sex offender risk assessment instruments. Psychological Assessment, 26, 691–703.Google Scholar

Smith, G. T., Fischer, S., & Fister, S. M. (2003). Incremental validity principles in test construction. Psychological Assessment, 15, 467–477.Google Scholar

Stanley, D. J., & Spence, J. R. (2014). Expectations for replications: Are yours realistic? Perspectives on Psychological Science, 9, 305–318.Google Scholar

Strauss, M. E., & Smith, G. T. (2009). Construct validity: Advances in theory and methodology. Annual Review of Clinical Psychology, 5, 89–113.Google Scholar

Streiner, D. L. (2003a). Starting at the beginning: An introduction to coefficient alpha and internal consistency. Journal of Personality Assessment, 80, 99–103.Google Scholar

Streiner, D. L. (2003b). Diagnosing tests: Using and misusing diagnostic and screening tests. Journal of Personality Assessment, 81, 209–219.Google Scholar

Tam, H. E., & Ronan, K. (2017). The application of a feedback-informed approach in psychological service with youth: Systematic review and meta-analysis. Clinical Psychology Review, 55, 41–55.CrossRef Google Scholar PubMed

Teglasi, H. (2010). Essentials of TAT and other storytelling assessments (2nd ed.). Hoboken, NJ: Wiley.Google Scholar

Therrien, Z., & Hunsley, J. (2012). Assessment of anxiety in older adults: A systematic review of commonly used measures. Aging and Mental Health, 16, 1–16.Google Scholar

Therrien, Z., & Hunsley, J. (2013). Assessment of anxiety in older adults: A reliability generalization meta-analysis of commonly used measures. Clinical Gerontologist, 36, 171–194.Google Scholar

Tombaugh, T. N. (1996). The Test of Memory Malingering. Toronto: Multi-Health Systems.Google Scholar

Vacha-Haase, T. (1998). Reliability generalization exploring variance in measurement error affecting score reliability across studies. Educational and Psychological Measurement, 58, 6–20.Google Scholar

Vacha-Haase, T., Henson, R., & Caruso, J. (2002). Reliability generalization: Moving toward improved understanding and use of score reliability. Educational and Psychological Measurement, 62, 562–569.Google Scholar

Vacha-Haase, T., & Thompson, B. (2011). Score reliability: A retrospective look back at 12 years of reliability generalization studies. Measurement and Evaluation in Counseling and Development, 44, 159–168.Google Scholar

van de Schoot, R., Lugtig, P., & Hox, J. (2012). A checklist for testing measurement invariance. European Journal of Developmental Psychology, 9, 486–492.Google Scholar

van der Linden, W. J. (Ed.). (2016a). Handbook of item response theory, Vol. 1. Boca Raton, FL: CRC Press.Google Scholar

van der Linden, W. J. (Ed.). (2016b). Handbook of item response theory, Vol. 2. Boca Raton, FL: CRC Press.Google Scholar

Wasserman, J. D., & Bracken, B. A. (2013). Fundamental psychometric considerations in assessment. In Graham, J. R. & Naglieri, J. A. (Eds.), Handbook of psychology. Vol. 10: Assessment psychology (2nd ed., pp. 50–81). Hoboken, NJ: John Wiley & Sons.Google Scholar

Weisz, J. R., Chorpita, B. F., Frye, A., Ng, M. Y., Lau, N., Bearman, S. K., & Hoagwood, K. E. (2011). Youth Top Problems: Using idiographic, consumer-guided assessment to identify treatment needs and to track change during psychotherapy. Journal of Consulting and Clinical Psychology, 79, 369–380.Google Scholar

Wiggins, C. W., Wygant, D. B., Hoelzle, J. B., & Gervais, R. O. (2012). The more you say the less it means: Over-reporting and attenuated criterion validity in a forensic disability sample. Psychological Injury and Law, 5, 162–173.Google Scholar

Wood, J. M., Garb, H. N., & Nezworski, M. T. (2006). Psychometrics: Better measurement makes better clinicians. In Lilienfeld, S. O. & O’Donohue, W. T. (Eds.), The great ideas of clinical science: The 17 concepts that every mental health practitioner should understand (pp. 77–92). New York: Brunner-Routledge.Google Scholar

Wright, A. G. C., & Simms, L. J. (2014). On the structure of personality disorder traits: Conjoint analyses of the CAT-PD, PID-5, and NEO-PI-3 Trait Models. Personality Disorders: Theory, Research, and Treatment, 5, 43–54.Google Scholar

Xu, S., & Lorber, M. F. (2014). Interrater agreement statistics with skewed data: Evaluation of alternatives to Cohen’s kappa. Journal of Consulting and Clinical Psychology, 82, 1219–1227.CrossRef Google Scholar PubMed

Youngstrom, E. A., Van Meter, A., Frazier, T. W., Hunsley, J., Prinstein, M. J., Ong, M.-L., & Youngstrom, J. K. (2017). Evidence-based assessment as an integrative model for applying psychological science to guide the voyage of treatment. Clinical Psychology: Science and Practice, 24, 331–363.Google Scholar

References

Adebimpe, V. R. (2004). A second opinion on the White norms in psychiatric diagnosis of Black patients. Psychiatric Annals, 34, 542–551.Google Scholar

American Psychiatric Association. (1994). Diagnostic and statistical manual of mental disorders (4th ed.). Washington, DC: American Psychiatric Association.Google Scholar

American Psychiatric Association. (2013a). Diagnostic and statistical manual of mental disorders (5th ed.). Washington, DC: American Psychiatric Association.Google Scholar

American Psychiatric Association. (2013b). Cultural Formulation Interview. www.multiculturalmentalhealth.ca/wp-content/uploads/2013/10/2013_DSM5_CFI.pdf Google Scholar

American Psychiatric Association. (2013c). Supplementary modules to the Core Cultural Formulation Interview (CFI). www.multiculturalmentalhealth.ca/wp-content/uploads/2013/10/CFI-Cultural-Identity.pdf Google Scholar

American Psychological Association. (2017). Multicultural guidelines: An ecological approach to context, identity, and intersectionality. www.apa.org/about/policy/multicultural-guidelines.pdf Google Scholar

Brown, T. A. (2014). Confirmatory factor analysis for applied research (2nd ed.). New York: Guilford Press.Google Scholar

Burlew, A. K., Feaster, D., Brecht, M., & Hubbard, R. (2014). Measurement and data analysis in research addressing health disparities in substance abuse. Journal of Substance Abuse Treatment, 36, 25–43. https://doi.org/10.1016/j.jsat.2008.04.003 Google Scholar

Campbell, D. T., & Stanley, J. C. (1966). Experimental and quasi-experimental designs for research. Chicago: Rand McNally.Google Scholar

Canino, G., & Alegria, M. (2008). Psychiatric diagnosis: Is it universal or relative to culture? Journal of Child Psychology and Psychiatry, 49, 237–250.Google Scholar

Chang, E. C. (1996). Evidence for the cultural specificity of pessimism in Asians vs Caucasians: A test of a general negativity hypothesis. Personality and Individual Differences, 21, 819–822.Google Scholar

Cheung, F. M., Cheung, S. F., Zhang, J., Leung, K., Leong, F., & Yeh, K. H. (2008). Relevance of openness as a personality dimension in Chinese culture: Aspects of its cultural relevance. Journal of Cross-Cultural Psychology, 39, 81–108. https://doi.org/10.1177/0022022107311968 Google Scholar

Cheung, F. M., Leong, F. T. L., & Ben-Porath, Y. S. (2003). Psychological assessment in Asia: Introduction to the special section. Psychological Assessment, 15, 243-247.Google Scholar

Cheung, F. M., Leung, K., Fan, R. M., Song, W.-Z., Zhang, J.-X., & Zhang, J.-P. (1996). Development of the Chinese Personality Assessment Inventory (CPAI). Journal of Cross-Cultural Psychology, 27, 181–199. https://doi.org/10.1177/0022022196272003 Google Scholar

Cheung, F. M., van de Vijver, F. J. R., & Leong, F. T. L. (2011). Toward a new approach to the study of personality in culture. American Psychologist, 66, 593–603. https://doi.org/10.1037/a0022389 Google Scholar

Church, A. T. (2001). Personality measurement in cross-cultural perspective. Journal of Personality, 69, 979–1006. https://doi.org/10.1111/1467-6494.696172 Google Scholar

Constantine, M. G. (2007). Racial microaggressions against African American clients in cross-racial counseling relationships. Journal of Counseling Psychology, 54, 1–16.Google Scholar

Cross, S. E., Hardin, E. E., & Gercek, B. (2011). The what, how, why and where of self-construal. Personality and Social Psychology, 15, 142–179.Google Scholar

Eap, S., Gobin, R. L., Ng, J., & Nagayama Hall, G. C. (2010). Sociocultural issues in the diagnosis and assessment of psychological disorders. In Maddux, J. E. & Tangney, J. P. (Eds.), Social psychological foundations of clinical psychology (pp. 312–328). New York: Guilford Press.Google Scholar

Enright, J. B., & Jaeckle, W. R. (1963). Psychiatric symptoms and diagnosis in two subcultures. International Journal of Social Psychiatry, 9, 12–17.Google Scholar

Gamst, G. C., Liang, C. T. H., & Der-Karabetian, A. (2011) Handbook of multicultural measures. Thousand Oaks, CA: Sage Publications.Google Scholar

Garb, H. N. (1997). Race bias, social class bias, and gender bias in clinical judgment. Clinical Psychology: Science and Practice, 4, 99–120.Google Scholar

Garfield, S. (1984). Methodological problems in clinical diagnosis. In Adams, H. E. & Sutker, P. B. (Eds.), Comprehensive handbook of psychopathology (pp. 27–44). New York: Plenum.Google Scholar

Goh, M., Dunnigan, T., & Schuchman, K. M. (2004). Bias in counseling Hmong clients with limited English proficiency. In Chin, J. L. (Ed.), The psychology of prejudice and discrimination: Ethnicity and multiracial identity, Vol. 2 (pp. 109–136). Westport, CT: Praeger and Greenwood Publishing.Google Scholar

Heine, S. J. (2001). Self as a cultural product. An examination of East Asian and North American selves. Journal of Personality, 69, 881–890.Google Scholar

Henrich, J., Heine, S. J., & Norenzayan, A. (2010). The weirdest people in the world? Behavioral and Brain Sciences, 33, 61–135. https://doi.org/10.1017/S0140525X0999152X Google Scholar

Hornby, G., & Lafaele, R. (2011). Barriers to parental involvement in education: An explanatory model. Educational Review, 63, 37–52. https://doi.org/10.1080/00131911.2010.488049 Google Scholar

Hui, C. H., & Triandis, H. (1986). Individualism-collectivism: A study of cross-cultural researchers. Journal of Cross-Cultural Psychology, 17, 225–248.Google Scholar

International Test Commission. (2017). The ITC guidelines for translating and adapting tests (2nd ed.). www.intestcom.org/files/guideline_test_adaptation_2ed.pdf Google Scholar

Jackson, J. S., Abelson, J. M., Berglund, P. A., Mezuk, B., Torres, M., & Zhang, R. (2011). Ethnicity, immigration, and cultural influences on the nature and distribution of mental disorders: An examination of major depression. In Regier, D., Narrow, W., Kuhl, E., & Kupfer, D. (Eds.), Conceptual evolution of DSM-5 (pp. 267–285). Arlington, VA: American Psychiatric Publishing.Google Scholar

Ketterer, H. L., Han, K., Hur, J., & Moon, K. (2010). Development and validation of culture-specific Variable Response Inconsistency and True Response Inconsistency Scales for use with the Korean MMPI-2. Psychological Assessment, 22, 504–519. https://doi.org/10.1037/a0019511 Google Scholar

Kleinman, A. (1982). Neurasthenia and depression: A study of somatization and culture in China. Culture, Medicine, and Psychiatry, 6, 117–190.Google Scholar

Kline, R. (2011). Principles and practice of structural equation modeling. New York: Guilford Publications.Google Scholar

Kluckhohn, F. R. (1953). Personality in nature, society, and culture. New York: Alfred A. Knopf.Google Scholar

Lau, A. S., Tsai, W., Shih, J., Liu, L. L., Hwang, W.-C., & Takeuchi, D. T. (2013). The Immigrant Paradox among Asian American Women: Are disparities in the burden of depression and anxiety paradoxical or explicable? Journal of Consulting and Clinical Psychology, 81(5), 901–911. http://doi.org/10.1037/a0032105 Google Scholar

Lee, E. (1980). Mental health services for the Asian-Americans: Problems and alternatives. In Chin, L (Ed.), U.S. Commission of Civil Rights, Civil rights issues of Asian and Pacific-Americans: Myths & realities (pp. 676–680). Washington, DC: U.S. Government Printing Office.Google Scholar

Leong, F. T. L. (1996). Towards an integrative model for cross-cultural counseling and psychotherapy. Applied and Preventive Psychology, 5,189–209.Google Scholar

Leong, F. T. L. (1986). Counseling and psychotherapy with Asian Americans: Review of the literature. Journal of Counseling Psychology, 33, 196–206.Google Scholar

Leong, F. T. L., & Hardin, E. (2002). Career psychology of Asian Americans: Cultural validity and cultural specificity. In Hall, G and Okazaki, S (Eds.), Asian American Psychology: Scientific Innovations for the 21st Century (pp. 131–152). Washington, DC: American Psychological Association.Google Scholar

Leong, F. T. L., & Hartung, P. J. (2003). Cross-cultural career counseling. In Bernal, G, Trimble, J. E, Burlew, A. K, & Leong, F. T. L (Eds.), Handbook of racial and ethnic minority psychology (pp. 504–520). Thousand Oaks, CA: Sage Publications.Google Scholar

Leong, F. T. L., & Kalibatseva, Z. (2016). Threats to cultural validity in clinical diagnosis and assessment: Illustrated with the case of Asian Americans. In Zane, N., Bernal, G., & Leong, F. T. L. (Eds.), Culturally-informed evidence-based practice in psychology (pp. 57–74). Washington, DC: American Psychological Association.Google Scholar

Leong, F. T. L., Leung, K., & Cheung, F. M. (2010). Integrating cross-cultural research methods into ethnic minority psychology. Cultural Diversity and Ethnic Minority Psychology, 16, 590–597. https://doi.org/10.1037/a0020127 Google Scholar

Leong, F. T. L., Okazaki, S., & Tak, J. (2003). Assessment of depression and anxiety in East Asia. Psychological Assessment, 15, 290–305.Google Scholar

Li, Z., & Hicks, M. H.-R. (2010). The CES-D in Chinese American women: Construct validity, diagnostic validity for major depression, and cultural response bias. Psychiatry Research, 175, 227–232. https://doi.org/10.1016/j.psychres.2009.03.007 Google Scholar

Li-Repac, D. (1980). Cultural influences on clinical perception: A comparison between Caucasian and Chinese-American therapists. Journal of Cross-Cultural Psychology, 11, 327–342.Google Scholar

López, S. R., Nelson Hipke, K., Polo, A. J., Jenkins, J. H., Karno, M., Vaughn, C., & Snyder, K. S. (2004). Ethnicity, expressed emotion, attributions, and course of schizophrenia: Family warmth matters. Journal of Abnormal Psychology, 113, 428–439. https://doi.org/10.1037/0021-843X.113.3.428 Google Scholar

Lui, P. P., & Quezada, L. (2019). Associations between microaggression and adjustment outcomes: A meta-analytic and narrative review. Psychological Bulletin, 145, 45–78. https://doi.org/10.1037/bul0000172 Google Scholar

Lui, P. P., & Rollock, D. (2018). Greater than the sum of its parts: Development of a measure of collectivism among Asians. Cultural Diversity and Ethnic Minority Psychology, 24(2),242–259. https://doi.org/10.1037/cdp0000163 Google Scholar

Lui, P. P., Rollock, D., Chang, E. C., Leong, F. T. L., & Zamboanga, B. L. (2016). Big 5 personality and subjective well-being in Asian Americans: Testing optimism and pessimism as mediators. Asian American Journal of Psychology, 7, 274–286. https://doi.org/10.1037/aap0000054 Google Scholar

Lui, P. P., Vidales, C. A., & Rollock, D. (2018). Personality and the social environment: Contributions to psychological adjustment among Asian and Euro American students. Journal of Social and Clinical Psychology, 37, 659–696. https://doi.org/10.1521/jscp.2018.37.9.659 Google Scholar

Lui, P. P., & Zamboanga, B. L. (2018a). Acculturation and alcohol use among Asian Americans: A meta-analytic review. Psychology of Addictive Behavior, 32, 173–186. https://doi.org/10.1037/adb0000340 Google Scholar

Lui, P. P., & Zamboanga, B. L. (2018b). A critical review and meta-analysis of the associations between acculturation and alcohol use outcomes among Hispanic Americans. Alcoholism: Clinical and Experimental Research, 42, 1841–1862. https://doi.org/10.1111/acer.13845 Google Scholar

Malgady, R. G. (1996). The question of cultural bias in assessment and diagnosis of ethnic minority clients: Let’s reject the null hypothesis. Professional Psychology: Research and Practice, 27, 73–77.Google Scholar

Malgady, R. G., Rogler, L. H., & Cortés, D. E. (1996). Cultural expression of psychiatric symptoms: Idioms of anger among Puerto Ricans. Psychological Assessment, 8, 265–268.Google Scholar

Markus, H. R., & Kitayama, S. (1991). Culture and self: Implications for cognition, emotion and motivation. Psychological Review, 98, 224–253.CrossRef Google Scholar

Marsella, A. J. (2013). All psychologies are indigenous psychologies: Reflections on psychology in a global era. Psychology International, 12. www.apa.org/international/pi/2013/12/reflections.aspx Google Scholar

McNeil, D. E., & Binder, R. (1995). Correlates of accuracy in the assessment of psychiatric in-patient’s risk of violence. American Journal of Psychiatry, 152, 901–906.Google Scholar

Meredith, W. (1993). Measurement invariance, factor analysis, and factorial invariance. Psychometrika, 58, 525–543. https://doi.org/10.1007/BF02294825 Google Scholar

Nijdam-Jones, A., & Rosenfeld, B. (2017). Cross-cultural feigning assessment: A systematic review of feigning instruments used with linguistically, ethnically, and culturally diverse samples. Psychological Assessment, 29, 1321–1336. https://doi.org/10.1037/pas0000438 Google Scholar

Okazaki, S., Kallivayalil, D., & Sue, S. (2002). Clinical personality assessment with Asian Americans. In Butcher, J. N. (Ed.), Oxford textbooks in clinical psychology, Vol. 2. Clinical personality assessment: Practical approaches (pp. 135–153). New York: Oxford University Press.Google Scholar

Payne, J. S. (2012). Influence of race and symptom expression on clinicians’ depressive disorder identification in African American men. Journal of the Society for Social Work and Research, 3, 162–177.Google Scholar

Rogers, R., Flores, J., Ustad, K., & Sewell, K. W. (1995). Initial validation of the Personality Assessment Inventory – Spanish version with clients from Mexican American communities. Journal of Personality Assessment, 64, 340–348. https://doi.org/10.1207/s15327752jpa6402_12 Google Scholar

Rollock, D., & Lui, P. P. (2016a). Measurement invariance and the five-factor model of personality: Asian international and Euro American cultural groups. Assessment, 23, 571–587. https://doi.org/10.1177/1073191115590854 Google Scholar

Rollock, D., & Lui, P. P. (2016b). Do spouses matter? Discrimination, social support, and psychological distress among Asian Americans. Cultural Diversity and Ethnic Minority Psychology, 22, 47–57. https://doi.org/10.1037/cdp0000045 Google Scholar

Rosenberger, E., & Hayes, J. (2002). Therapist as subject: A review of the empirical countertransference literature. Journal of Counseling and Development, 80, 264–270.Google Scholar

Ryder, A. G., Yang, J., Zhu, X., Yao, S., Yi, J., Heine, S., et al. (2008). The cultural shaping of depression: Somatic symptoms in China, psychological symptoms in North America? Journal of Abnormal Psychology, 117, 300–313.Google Scholar

Sabin, J. E. (1975). Translating despair. American Journal of Psychiatry, 132, 197–199.Google Scholar

Sadler, J. Z. (2005). Values and psychiatric diagnosis. Oxford: Oxford University Press.Google Scholar

Schmitt, N., & Kuljanin, G. (2008). Measurement invariance: Review of practice and implications. Human Resource Management Review, 18, 210–222. https://doi.org/10.1016/j.hrmr.2008.03.003 Google Scholar

Shou, Y., Sellbom, M., Xu, J., Chen, T., & Sui, A. (2017). Elaborating on the construct validity of Triarchic Psychopathy Measure in Chinese clinical and nonclinical samples. Psychological Assessment, 29(9), 1071–1081. http://dx.doi.org/10.1037/pas0000398 Google Scholar

Shuy, R. W. (1983). Three types of interference to an effective exchange of information in the medical interview. In Fisher, S. & Todd, A. D. (Eds.), The social organization of doctor-patient communication (pp. 189–202). Washington, DC: Center for Applied Linguistics.Google Scholar

Sinha, D. (1997). Indigenizing psychology. In Berry, J. W., Poortinga, Y. H., & Pandey, J. (Eds.), Handbook of cross-cultural psychology, Vol.1 (2nd ed., pp. 129–169). Boston: Allyn & Bacon.Google Scholar

Solano-Flores, G., & Nelson-Barber, S. (2001). On the cultural validity of science assessments. Journal of Research in Science Teaching, 38, 553–573.Google Scholar

Spector, R. (2001). Is there racial bias in clinicians’ perceptions of the dangerousness of psychiatric patients? A review of the literature. Journal of Mental Health, 10, 5–15.Google Scholar

Sue, D. W. (1981). Counseling the culturally different: Theory and practice. New York: John Wiley & Sons.Google Scholar

Sue, D. W., & Sue, D. (2012). Counseling the culturally diverse: Theory and practice (6th ed.). New York: John Wiley & Sons.Google Scholar

Sue, S., & Morishima, J. K. (1982). The mental health of Asian Americans. San Francisco: Jossey-Bass.Google Scholar

Takeuchi, D. T., Kuo, H., Kim, K., & Leaf, P. J. (1989). Psychiatric symptom dimensions among Asian Americans and Native Hawaiians: An analysis of the symptom checklist. Journal of Community Psychology, 17, 319–329.Google Scholar

Triandis, H. C. (1997). Cross-cultural perspectives on personality. In Hogan, R., Johnson, J., & Briggs, S. (Eds.), Handbook of personality psychology (pp. 439–464). San Diego: Academic Press.Google Scholar

Wakabayashi, A. (2014). A sixth personality domain that is independent of the big five domains: The psychometric properties of the HEXACO personality inventory in a Japanese sample. Japanese Psychological Research, 56, 211–223. https://doi.org/10.1111/jpr.12045 Google Scholar

Westermeyer, J. (1985). Psychiatric diagnosis across cultural boundaries. American Journal of Psychiatry, 142, 798–805.Google Scholar

Whaley, A. L. (1997). Ethnicity/race, paranoia, and psychiatric diagnoses: Clinical bias versus sociocultural differences. Journal of Psychopathology and Behavioral Assessment, 19, 1–20.Google Scholar

Whaley, A. L., & Hall, B. N. (2009). Effects of cultural themes in psychotic symptoms on the diagnosis of schizophrenia in African Americans. Mental Health, Religion and Culture, 12, 457–471.Google Scholar

Yakushko, O. (2010). Clinical work with limited English proficiency clients: A phenomenological study. Professional Psychology: Research and Practice, 41, 449–455.Google Scholar

Yang, K.-S. (2000). Monocultural and cross-cultural indigenous approaches: The royal road to the development of a balanced global psychology. Asian Journal of Social Psychology, 3, 241–263.Google Scholar

References

Adams, K. A. (2000). Practical and ethical issues pertaining to test revisions Psychological Assessment, 12(3),281–286.Google Scholar

American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (5th ed.). Washington, DC: American Psychiatric Association.Google Scholar

APA (American Psychological Association). (1992). Ethical principles of psychologists and code of conduct. American Psychologist, 47, 1597–1611.Google Scholar

APA (American Psychological Association). (2017a). Ethical principles of psychologists and code of conduct. www.apa.org./ethics/code/ethics-code-2017.pdf Google Scholar

APA (American Psychological Association). (2017b). Multicultural guidelines: An ecological approach to context, identity, and intersectionality. www.apa.org/about/policy/multicultural-guidelines.pdf Google Scholar

Beck, A. T., Steer, R. A., & Brown, G. K. (1996). Beck Depression Inventory – II. San Antonio, TX: Pearson.Google Scholar

Behnke, S. (2005). Thinking ethically as psychologists: Reflections on Ethical Standards 2.01, 3.07, 9.08, and 10.04. Monitor on Psychology, 36(6). www.apa.org/monitor /jun05/ethics.html Google Scholar

Berk, S. N. (2005). Consumers speak. We need to listen. The Pennsylvania Psychologist Quarterly, 68(5), 2, 20.Google Scholar

Bersoff, D. N., & Hoffer, P. J. (2003). Legal issues in computerized psychological testing. In Bersoff, D. N. (Ed.), Ethical conflicts in psychology (3rd ed., pp. 300–302). Washington, DC: American Psychological Association.Google Scholar

Bersoff, D. N., De Matteo, D., & Foster, E. E. (2012). Assessment and testing. In Knapp, S. J. (Ed.), APA handbook of ethics in psychology. Vol. 2: Practice, teaching, research (pp. 45–74). Washington, DC: American Psychological Association.Google Scholar

Black, M. M., & Ponirakis, A. (2000). Computer-administered interviews with children about maltreatment. Journal of Interpersonal Violence, 15, 682–695.Google Scholar

Brabender, V. (2018). Ethics in diversity-sensitive assessment. In Smith, S. R. & Krishnamurthy, R. (Eds.), Diversity-sensitive personality assessment (pp. 333–348). New York: Routledge.Google Scholar

Buchanan, T. (2002). Online assessment: Desirable of dangerous? Professional Psychology: Research and Practice, 33, 148–154.Google Scholar

Bush, S. S. (2010). Determining whether or when to adopt new versions of psychological and neuropsychological tests: Ethical and professional considerations. The Clinical Neuropsychologist, 24, 7–16.Google Scholar

Butcher, J. N. (1992). Introduction to the special section: Providing psychological test feedback to clients. Psychological Assessment, 4(3), 267.Google Scholar

Butcher, J. N., Dahlstrom, W. G., Graham, J. R., Tellegen, A., & Kaemmer, B. (1989). The Minnesota Multiphasic Personality Inventory-2 (MMPI-2): Manual for administration and scoring. Minneapolis: University of Minnesota Press.Google Scholar

Campbell, L., Vasquez, M., Behnke, S., & Kinscherff, R. (2010). APA ethics code commentary and case illustrations. Washington, DC: American Psychological Association.Google Scholar

Chan, A. S., Shum, D., & Cheung, R. W. Y. (2003). Recent development of cognitive and neuropsychological assessment in Asian countries. Psychological Assessment, 15, 257–267.Google Scholar

Finn, S. E. (2007). In our clients’ shoes. New York: Taylor and Francis.Google Scholar

Finn, S. E., & Tonsager, M. E. (1992). Therapeutic effects of providing MMPI-2 test feedback to college students awaiting therapy. Psychological Assessment, 4(3), 278–287.Google Scholar

Fisher, C. B. (2017). Decoding the ethics code: A practical guide for psychologists (4th ed.). Washington, DC: Sage.Google Scholar

Fisher, C. B., & Fried, A. L. (2003). Internet-mediated psychological services and the American Psychological Association Ethics Code. Psychotherapy: Theory, Research, Practice, Training, 40, 103–111.Google Scholar

Flynn, J. R. (1999). Searching for justice: The discovery of IQ gains over time. American Psychologist, 54, 5–20.Google Scholar

Gregory, R. J. (2004). Psychological testing: History, principles, and applications (4th ed.). Boston: Allyn and Bacon.Google Scholar

Jacob, S., & Hartshorne, T.S. (2007). Ethics and law for school psychologists (5th ed.). Hoboken, NJ: John Wiley & Sons.Google Scholar

Knapp, S. J., & Vandecreek, L. D. (2012). Practical ethics for psychologists: A positive approach (2nd ed.). Washington, DC: American Psychological Association.Google Scholar

Knapp, S. J., VandeCreek, L. D., & Fingerhut, R. (2017). Practical ethics for psychologists: A positive approach (3rd ed.). Washington, DC: American Psychological Association.Google Scholar

Knapp, S., Younggren, J. N., VandeCreek, L., Harris, E., & Martin, J. N. (2013). Assessing and managing risk in psychological practice: An individualized approach (2nd ed.). Rockville, MD: The Trust.Google Scholar

Knauss, L. K. (2007). Our ethical responsibility to provide culturally competent personality assessment. SPA Exchange, 19(2), 4, 12–13.Google Scholar

Knauss, L. K. (2009a). Are you informed about informed consent? SPA Exchange, 21(1), 4, 14, 15.Google Scholar

Knauss, L. K. (2009b). Informed consent, part II: Ideas for your informed consent agreement. SPA Exchange, 21(2), 4, 14.Google Scholar

Knauss, L. K. (2011). Ethics, assessment, and the internet. SPA Exchange, 23(1), 4, 12, 13.Google Scholar

Knauss, L. K. (2012). Ethical considerations in assessment report writing. SPA Exchange, 24(1), 4, 13, 14.Google Scholar

Knauss, L. K. (2013). The pros and cons of computerized assessment. SPA Exchange, 25(1), 4, 12, 13.Google Scholar

Knauss, L. K. (2014). Can I use this test? SPA Exchange, 26(1), 7, 14.Google Scholar

Knauss, L. K. (2015). Ethical considerations in assessment feedback. SPA Exchange, 27(2), 4, 16, 17.Google Scholar

Knauss, L. K. (2017). Response to article by Williams and Lally: What is the best test to use. Professional Psychology Research and Practice, 48(4), 279–281.Google Scholar

Koocher, G. P. (2007). Twenty-first century ethical challenges for psychology. American Psychologist, 62(5), 375–384.Google Scholar

Koocher, G. P., & Keith-Spiegel, P. (2008). Ethics is psychology and the mental health profession: Standards and cases (3rd ed.). New York: Oxford University Press.Google Scholar

Leach, M. M., & Oakland, T. (2007). Ethics standards impacting test development and use: A review of 31 ethics codes impacting practices in 35 countries. International Journal of Testing, 7(1), 71–88.Google Scholar

Lopez, S. (1997). Cultural competence in psychotherapy: A guide for clinicians and their supervisors. In Watkins, C. E. (Ed.), Handbook of psychotherapy supervision (pp. 570–588). New York: Wiley.Google Scholar

Messick, S. (1980). Test validity and the ethics of assessment. American Psychologist, 35, 1012–1027.Google Scholar

Naglieri, J. A., Drasgow, F., Schmidt, M., Handler, L., Prifitera, A., Margolis, A., & Velasquez, R. (2004). Psychological testing on the Internet: New problems, old issues. America Psychologist, 59, 150–162.Google Scholar

Pelco, L. E., Ward, S. B., Coleman, L., & Young, J. (2009). Teacher ratings of three psychological report styles. Training and Education in Professional Psychology, 3(1), 19–27.Google Scholar

Pope, K. S. (1992). Responsibilities in providing psychological test feedback to clients. Psychological Assessment, 4(3), 268–271.Google Scholar

Schulenberg, S. E., & Yutrzenka, B. A. (2004). Ethical issues in the use of computerized assessment. Computers in Human Behavior, 20, 477–490.Google Scholar

Tharinger, D. J., Finn, S. E., Hersh, B., Wilkinson, A., Christopher, G. B., & Tran, A. (2008). Assessment feedback with parents and preadolescent children: A collaborative approach. Professional Psychology: Research and Practice, 39(6), 600–609.Google Scholar

Wolber, G. J., & Carne, W. F. (2002). Writing psychological reports: A guide for clinicians (2nd ed.). Sarasota, FL: Professional Resource Press.Google Scholar

Wright, A. J. (2011). Conducting psychological assessment: A guide for practitioners. Hoboken, NJ: John Wiley & Sons.Google Scholar

References

Achenbach, T. M. (1966). The classification of children’s psychiatric symptoms: A factor-analytic study. Psychological Monographs: General and Applied, 80, 1–37.Google Scholar

American Psychiatric Association. (1952). Diagnostic and statistical manual of mental disorders. Washington, DC: Author.Google Scholar

American Psychiatric Association. (1968). Diagnostic and statistical manual of mental disorders (2nd ed.). Washington, DC: Author.Google Scholar

American Psychiatric Association. (1980). Diagnostic and statistical manual of mental disorders (3rd ed.). Washington, DC: Author.Google Scholar

American Psychiatric Association. (1987). Diagnostic and statistical manual of mental disorders (rev. 3rd ed.). Washington, DC: Author.Google Scholar

American Psychiatric Association. (1994). Diagnostic and statistical manual of mental disorders (4th ed.). Washington, DC: Author.Google Scholar

American Psychiatric Association. (2000). Diagnostic and statistical manual of mental disorders (rev. 4th ed.). Washington, DC: Author.Google Scholar

American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (5th ed.). Washington, DC: Author.Google Scholar

Andrews, G., Goldberg, D. P., Krueger, R. F., Carpenter, W. T., Hyman, S. E., Sachdev, P., & Pine, D. S. (2009). Exploring the feasibility of a meta-structure for DSM-V and ICD-11: Could it improve utility and validity? Psychological Medicine, 39, 1993–2000.Google Scholar

Barlow, D. H., Farchione, T. J., Bullis, J. R., Gallagher, M. W., … & Cassiello-Robbins, C. (2017). The Unified Protocol for Transdiagnostic Treatment of Emotional Disorders compared with diagnosis-specific protocols for anxiety disorders: A randomized clinical trial. JAMA Psychiatry, 74, 875–884.Google Scholar

Barlow, D. H., Sauer-Zavala, S., Carl, J. R., Bullis, J. R., & Ellard, K. K. (2014). The nature, diagnosis, and treatment of neuroticism: Back to the future. Clinical Psychological Science, 2, 344–365.Google Scholar

Brown, T. A., Campbell, L. A., Lehman, C. L., Grisham, J. R., & Mancill, R. B. (2001). Current and lifetime comorbidity of the DSM-IV anxiety and mood disorders in a large clinical sample. Journal of Abnormal Psychology, 110, 585–599.Google Scholar

Clark, L. A. (2014). Schedule for Nonadaptive and Adaptive Personality, Second Edition (SNAP-2). Notre Dame, IN: University of Notre Dame.Google Scholar

Clark, L. A., Cuthbert, B., Lewis-Fernández, R., Narrow, W. E., & Reed, G. M. (2017). Three approaches to understanding and classifying mental disorder: ICD-11, DSM-5, and the National Institute of Mental Health’s Research Domain Criteria (RDoC). Psychological Science in the Public Interest, 18, 72–145.Google Scholar

Clark, L. A., Simms, L. J., Wu, K. D., & Casillas, A. (2014). Schedule for Nonadaptive and Adaptive Personality – Second Edition. Notre Dame, IN: University of Notre Dame.Google Scholar

Cuthbert, B. N., & Insel, T. R. (2013). Toward the future of psychiatric diagnosis: The seven pillars of RDoC. BMC Medicine, 11, 126–134.Google Scholar

DeYoung, C. G., Peterson, J. B., & Higgins, D. M. (2002). Higher-order factors of the big five predict conformity: Are there neuroses of health? Personality and Individual Differences, 33(4), 533–552.Google Scholar

Digman, J. M. (1990). Personality structure: Emergence of the five-factor model. Annual Review of Psychology, 41, 417–440.Google Scholar

Eaton, N. R., Krueger, R. F., Markon, K. E., Keyes, K. M., Skodol, A. E., Wall, M., … & Grant, B. F. (2013). The structure and predictive validity of the internalizing disorders. Journal of Abnormal Psychology, 122, 86–92.Google Scholar

First, M. B., Williams, J. B. W., Karg, R. S., & Spitzer, R. L. (2015). Structured clinical interview for DSM-5 – Clinician version (SCID-5-CV). Arlington, VA: American Psychiatric Association.Google Scholar

Hopwood, C. J. (2018). A framework for treating DSM-5 alternative model for personality disorder features. Personality and Mental Health, 12, 107–125.Google Scholar

Insel, T. R., & Cuthbert, B. N. (2015). Brain disorders? Precisely. Science, 348, 499–500.Google Scholar

Keeley, J. W., Webb, C., Peterson, D., Roussin, L., & Flanagan, E. H. (2016). Development of a response inconsistency scale for the personality inventory for DSM–5. Journal of Personality Assessment, 98, 351–359.Google Scholar

Kessler, R. C., McGonagle, K. A., Zhao, S., Nelson, C. B., Hughes, M., Eshleman, S., … & Kendler, K. S. (1994). Lifetime and 12-month prevalence of DSM-III-R psychiatric disorders in the United States: Results from the national comorbidity study. Archives of General Psychiatry, 51, 8–19.Google Scholar

Kessler, R. C., Petukhova, M., & Zaslavsky, A. M. (2011). The role of latent internalizing and externalizing predispositions in accounting for the development of comorbidity among common mental disorders. Current Opinion in Psychiatry, 24, 307–312.Google Scholar

Kirschbaum, C., Pirke, K., & Hellhammer, D. H. (1993). The “trier social stress test”: A tool for investigating psychobiological stress responses in a laboratory setting. Neuropsychobiology, 28(1–2), 76–81.Google Scholar

Kotov, R., Krueger, R. F., Watson, D., Achenbach, T. M., Althoff, R. R., Bagby, R. M., … & Zimmerman, M. (2017). The Hierarchical Taxonomy of Psychopathology (HiTOP): A dimensional alternative to traditional nosologies. Journal of Abnormal Psychology, 126, 454–477.Google Scholar

Kotov, R., Perlman, G., Gámez, W., & Watson, D. (2015). The structure and short-term stability of the emotional disorders: A dimensional approach. Psychological Medicine, 45(8), 1687–1698.Google Scholar

Krueger, R. F. (1999). The structure of common mental disorders. Archives of General Psychiatry, 56, 921–926.Google Scholar

Krueger, R. F., Caspi, A., Moffitt, T. E., & Silva, P. A. (1998). The structure and stability of common mental disorders (DSM-III-R): A longitudinal-epidemiological study. Journal of Abnormal Psychology, 107, 216–227.Google Scholar

Krueger, R. F., Kotov, R., Watson, D., Forbes, M. K., Eaton, N. R., Ruggero, C. J., et al. (2018). Progress in achieving quantitative classification of psychopathology. World Psychiatry, 17, 282–293.Google Scholar

Krueger, R. F., Markon, K. E., Patrick, C. J., Benning, S. D., & Kramer, M. D. (2007). Linking antisocial behavior, substance use, and personality: An integrative quantitative model of the adult externalizing spectrum. Journal of Abnormal Psychology, 116, 645–666.Google Scholar

Lahey, B. B., Krueger, R. F., Rathouz, P. J., Waldman, I. D., & Zald, D. H. (2017). A hierarchical causal taxonomy of psychopathology across the life span. Psychological Bulletin, 143, 142–186.Google Scholar

Loranger, A. W. (1999). IPDE: International Personality Disorder Examination: DSM-IV and ICD-10 interviews. Odessa, FL: Psychological Assessment Resources.Google Scholar

Markon, K. E. (2010). Modeling psychopathology structure: A symptom-level analysis of Axis I and II disorders. Psychological Medicine, 40, 273–288.Google Scholar

Markon, K. E., Chmielewski, M., & Miller, C. J. (2011). The reliability and validity of discrete and continuous measures of psychopathology: a quantitative review. Psychological Bulletin, 137, 856–877.Google Scholar

Morey, L. C., Hopwood, C. J., Markowitz, J. C., Gunderson, J. G., Grilo, C. M., McGlashan, T. H., … & Skodol, A. E. (2012). Comparison of alternative models for personality disorders, II: 6-, 8- and 10-year follow-up. Psychological Medicine, 42, 1705–1713.Google Scholar

Narrow, W. E., Clarke, D. E., Kuramoto, S. J., Kraemer, H. C., Kupfer, D. J., Greiner, L., & Regier, D. A. (2013). DSM-5 field trials in the United States and Canada, Part III: Development and reliability testing of a cross-cutting symptom assessment for DSM-5. American Journal of Psychiatry, 170, 71–82.Google Scholar

Nelson, G. H., O’Hara, M. W., & Watson, D. (2018). National norms for the Expanded Version of the Inventory of Depression and Anxiety Symptoms (IDAS-II). Journal of Clinical Psychology, 74, 953–968.Google Scholar

Patrick, C. J., Kramer, M. D., Krueger, R. F., & Markon, K. E. (2013). Optimizing efficiency of psychopathology assessment through quantitative modeling: Development of a brief form of the Externalizing Spectrum Inventory. Psychological Assessment, 25, 1332–1348.Google Scholar

Regier, D. A., Narrow, W. E., Clarke, D. E., Kraemer, H. C., Kuramoto, S. J., Kuhl, E. A., & Kupfer, D. J. (2013). DSM-5 field trials in the United States and Canada, Part II: Test-retest reliability of selected categorical diagnoses. American Journal of Psychiatry, 170, 59–70.Google Scholar

Rodriguez-Seijas, C., Eaton, N. R., Stohl, M., Mauro, P. M., & Hasin, D. S. (2017). Mental disorder comorbidity and treatment utilization. Comprehensive Psychiatry, 79, 89–97.Google Scholar

Rodriguez-Seijas, C., Stohl, M., Hasin, D. S., & Eaton, N. R. (2015). Transdiagnostic factors and mediation of the relationship between perceived racial discrimination and mental disorders. Journal of the American Medical Association Psychiatry, 72, 706–713.Google Scholar

Ruggero, C. (2018). Integrating a dimensional, hierarchical taxonomy of psychopathology into clinical practice, PsyArXiv Preprints, August 18. psyarxiv.com/r2jt6 Google Scholar

Sellbom, M., Dhillon, S., & Bagby, R. M. (2018). Development and validation of an overreporting scale for the personality inventory for DSM–5 (PID-5). Psychological Assessment, 30(5), 582–593.Google Scholar

Spiegel, A. (2005). The dictionary of disorder. New Yorker, 80, 56–63.Google Scholar

Tyrer, P., Reed, G. M., & Crawford, M. J. (2015). Classification, assessment, prevalence and effect of personality disorder. Lancet, 385, 717–726.Google Scholar

Waszczuk, M. A., Zimmerman, M., Ruggero, C., Li, K., MacNamara, A., Weinberg, A., … & Kotov, R. (2017). What do clinicians treat: Diagnoses or symptoms? The incremental validity of a symptom-based, dimensional characterization of emotional disorders in predicting medication prescription patterns. Comprehensive Psychiatry, 79, 80–88.Google Scholar

Watson, D., O’Hara, M. W., Naragon-Gainey, K., Koffel, E., Chmielewski, M., Kotov, R., … Ruggero, C. J. (2012). Development and validation of new anxiety and bipolar symptom scales for an expanded version of the IDAS (the IDAS-II). Assessment, 19, 399–420.Google Scholar

Vittengl, J. R., Clark, L. A., Thase, M. E., & Jarrett, R. B. (2013). Nomothetic and idiographic symptom change trajectories in acute-phase cognitive therapy for recurrent depression. Journal of Consulting and Clinical Psychology, 81, 615–626.Google Scholar

Wilk, J. E., West, J. C., Narrow, W. E., Marcus, S., Rubio-Stipec, M., Rae, D. D., … & Regier, D. A. (2006). Comorbidity patterns in routine psychiatric practice: Is there evidence of under-detection and under-diagnosis? Comprehensive Psychiatry, 47, 258–264.Google Scholar

References

Ackerman, M. J., & Ackerman, M. C. (1997). Custody evaluation practices: A survey of experienced professionals (revisited). Professional Psychology: Research and Practice, 28(2), 137–145.Google Scholar

Alfano, K., & Boone, K. B. (2007). The use of effort tests in the context of actual versus feigned attention-deficit/hyperactivity disorder and learning disability. In Boone, K. B. (Ed.), Assessment of feigned cognitive impairment: A neuropsychological perspective (pp. 366–383). New York: Guilford.Google Scholar

American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (5th ed.). Washington, DC: Author.Google Scholar

Anderson, J. L., Sellbom, M., Wygant, D. B., Edens, J. F. (2013). Examining the necessity for and utility of the Psychopathic Personality Inventory – Revised (PPI-R) validity scales. Law and Human Behavior, 37, 312–320.Google Scholar

Arbisi, P. A., & Ben-Porath, Y. S. (1995). An MMPI-2 infrequent response scale for use with psychopathological populations: The Infrequency-Psychopathology Scale, F(p). Psychological Assessment, 7, 424–431.Google Scholar

Arce, R., Fariña, F., Seijo, D., & Novo, M. (2015). Assessing impression management with the MMPI-2 in child custody litigation. Assessment, 22(6), 769–777.Google Scholar

Archer, R.P., Wheeler, E.M.A., & Vauter, R.A. (2016). Empirically supported forensic assessment. Clinical Psychology: Science and Practice, 23, 348–364.Google Scholar

Baer, R. A., & Miller, J. (2002). Underreporting of psychopathology on the MMPI-2: A meta-analytic review. Psychological Assessment, 14, 84–94.Google Scholar

Bagby, R. M., Nicholson, R. A., Bacchiochi, J. R., Ryder, A. G., & Bury, A. S. (2002). The predictive capacity of the MMPI-2 and PAI Validity Scales and Indexes to detect coached and uncoached feigning. Journal of Personality Assessment, 78(1), 69–86.Google Scholar

Bagby, R.M., & Sellbom, M. (2018). The Validity and Clinical Utility of the Personality Inventory for DSM-5 (PID-5) Response Inconsistency Scale. Journal of Personality Assessment, 100, 398–405.CrossRef Google Scholar PubMed

Bathurst, K., Gottfried, A. W., & Gottfried, A. E. (1997). Normative data for the MMPI-2 in child custody litigation. Psychological Assessment, 9(3), 205–211.Google Scholar

Beck, A. T., Steer, R. A., & Brown, G. K. (1996). Beck Depression Inventory-II. San Antonio: Psychological Corporation.Google Scholar

Bender, S. D., & Frederick, R. (2018). Neuropsychological models of feigned cognitive deficits. In Rogers, R & Bender, S. D. (Eds.), Clinical assessment of malingering and deception (4th ed., pp. 42–60). New York: Guilford.Google Scholar

Bender, S. D., & Rogers, R. (2004). Detection of neurocognitive feigning: Development of a multi-strategy assessment. Archives of Clinical Neuropsychology, 19, 49–60.Google Scholar

Ben-Porath, Y. S. (2012). Interpreting the MMPI-2-RF. Minneapolis: University of Minnesota Press.Google Scholar

Ben-Porath, Y. S. (2013). Self-report inventories: Assessing personality and psychopathology. In Goldstein, A. M. (Ed.), Handbook of psychology, Vol. 10: Assessment psychology (pp. 622–644). Hoboken, NJ: Wiley.Google Scholar

Ben-Porath, Y. S., Graham, J. R., & Tellegen, A. (2009). The MMPI-2 Symptom Validity (FBS) scale development, research findings, and interpretive recommendations. Minneapolis: University of Minnesota Press.Google Scholar

Ben-Porath, Y. S., & Tellegen, A. (2008). MMPI-2-RF manual for administration, scoring, and interpretation. Minneapolis: University of Minnesota Press.Google Scholar

Berry, D. T. R., & Schipper, L. J. (2008). Assessment of feigned cognitive impairment using standard neuropsychological tests. In Rogers, R. (Ed.), Clinical assessment of malingering and deception (3rd. ed., pp. 237–253). New York: Guilford.Google Scholar

Bianchini, K. J., Aguerrevere, L. E., Curtis, K. L., Roebuck-Spencer, T. M., Greve, K. W., & Calamia, M. (2018). Classification accuracy of the Minnesota Multiphasic Personality Inventory-2 (MMPI-2)-Restructured form validity scales in detecting malingered pain-related disability. Psychological Assessment, 30, 857–869.Google Scholar

Bianchini, K. J., Aguerrevere, L. E., Guise, B. J., Ord, J. S., Etherton, J. L., Meyers, J. E., Soignier, R. D., Greve, K. W., Curtis, K. L., & Bui, J. (2014). Accuracy of the Modified Somatic Perception Questionnaire and Pain Disability Index in the detection of malingered pain-related disability in chronic pain. The Clinical Neuropsychologist, 28, 1376–1394.Google Scholar

Bianchini, K. J., Curtis, K. L., & Greve, K. W. (2006). Compensation and malingering in traumatic brain injury: A dose-response relationship? Clinical Neuropsychology, 20(4), 831–847.Google Scholar

Bianchini, K. J., Greve, K. W., & Glynn, G. (2005). Review article: On the diagnosis of malingered pain-related disability: Lessons from cognitive malingering research. The Spine Journal, 5, 404–417.Google Scholar

Binder, L. M. (1993). Assessment of malingering after mild head trauma with the Portland Digit Recognition Test. Journal of Clinical and Experimental Neuropsychology, 15, 170–182.Google Scholar

Boccaccini, M. T., & Hart, J. R. (2018). Response style on the Personality Assessment Inventory and other multiscale inventories. In Rogers, R. & Bender, S. D. (Eds.), Clinical assessment of malingering and deception (4th ed., pp. 208–300). New York: The Guilford Press.Google Scholar

Boccaccini, M. T., Murrie, D. C., & Duncan, S. A. (2006). Screening for malingering in a criminal-forensic sample with the Personality Assessment Inventory. Psychological Assessment, 18(4), 415–423.Google Scholar

Boone, K., Lu, P., & Herzberg, D. (2002). The Dot Counting Test. Los Angeles: Western Psychological Services.Google Scholar

Boone, K. B., Lu, P., Sherman, D., Palmer, B., Back, C., Shamieh, E., et al. (2000). Validation of a new technique to detect malingering of cognitive symptoms: The b Test. Archives of Clinical Neuropsychology, 15, 227–241.Google Scholar

Boone, K. B., Salazar, X., Lu, P., Warner-Chacon, K., & Razani, J. (2002). The Rey 15-item recognition trial: A technique to enhance sensitivity of the Rey 15-item memorization test. Journal of Clinical and Experimental Neuropsychology, 24(5), 561–573.Google Scholar

Bornstein, R. F. (2017). Evidence-based psychological assessment. Journal of Personality Assessment, 99, 435–445.Google Scholar

Bow, J. N., Flens, J. R., & Gould, J. W. (2010). MMPI-2 and MCMI-III in forensic evaluations: A survey of psychologists. Journal of Forensic Psychology Practice, 10, 37–52.Google Scholar

Briere, J. (2010). Trauma Symptom Inventory (TSI-2) professional manual (2nd ed.). Odessa, FL: Psychological Assessment Resources.Google Scholar

Burchett, D., & Bagby, R. M. (2014). Multimethod assessment of response distortion: Integrating data from interviews, collateral records, and standardized assessment tools. In Hopwood, C. & Bornstein, R. (Eds.), Multimethod clinical assessment (pp. 345–378). New York: Guilford.Google Scholar

Burchett, D. L., & Ben-Porath, Y. S. (2010). The impact of overreporting on MMPI-2-RF substantive scale score validity. Assessment, 17, 497–516.Google Scholar

Burchett, D. L., & Ben-Porath, Y. S. (in press). Methodological considerations for developing and evaluating response bias indicators. Psychological Assessment.Google Scholar

Burchett, D., Dragon., W. E., Smith Holbert, A. M., Tarescavage, A. M., Mattson, C. A., Handel, R. W., & Ben-Porath, Y. S. (2016). “False feigners”: Examining the impact of non-content-based invalid responding on the Minnesota Multiphasic Personality Inventory-2 Restructured Form content-based invalid responding indicators. Psychological Assessment, 28(5), 458–470.Google Scholar

Bury, A. S., & Bagby, R. M. (2002). The detection of feigned uncoached and coached posttraumatic stress disorder with the MMPI-2 in a sample of workplace accident victims. Psychological Assessment, 14(4), 472–484.Google Scholar

Bush, S. S. (2012). Mild traumatic brain injury: Symptom validity assessment and malingering. New York: Springer.Google Scholar

Butcher, J. N., Graham, J. R., Ben-Porath, Y. S., Tellegen, A., Dahlstrom, W. G., & Kaemmer, B. (2001). MMPI-2 manual for administration, scoring, and interpretation (rev. ed.). Minneapolis: University of Minnesota Press.Google Scholar

Butcher, J. N., & Han, K. (1995). Development of an MMPI-2 scale to assess the presentation of self in a superlative manner: The S scale. In Butcher, J. N. & Spielberger, C. D. (Eds.), Advances in personality assessment, Vol. 10 (pp. 25–50). Hillsdale, NJ: Lawrence Erlbaum Associates.Google Scholar

Camara, W. J., Nathan, J. S., & Puente, A. E. (2000). Psychological test usage: Implications in professional psychology. Professional Psychology: Research and Practice, 31, 141–154.Google Scholar

Cashel, M. L., Rogers, R., Sewell, K., & Martin-Cannici, C. (1995). The Personality Assessment Inventory and the detection of defensiveness. Assessment, 2, 333–342.Google Scholar

Chang, J. T., Szczyglinski, J. A., & King, S. A. (2000). A case of malingering: Feigning a painful disorder in the presence of true medical illness. Pain Medicine, 1(3), 280–282.Google Scholar

Clark, J. A. (2006). Validation of the Miller Forensic Assessment of Symptoms Test (M-FAST) in a civil forensic population. Master’s thesis, University of Kentucky. (Retrieved from University of Kentucky, Paper No. 399.)Google Scholar

Conder, R., Allen, L., & Cox, D. (1992). Computerized assessment of response bias test manual. Durham, NC: CogniSyst.Google Scholar

Corey, D., & Ben-Porath, Y. S. (2018). Assessing police and other public safety personnel using the MMPI-2-RF: A practical guide. Minneapolis: University of Minnesota Press.Google Scholar

Correa, A. A. (2018). Beyond borders: Cultural and translational perspectives of feigning and other response styles. In Rogers, R. & Bender, S. D. (Eds.), Clinical assessment of malingering and deception (4th ed., pp. 61–80). New York: Guilford.Google Scholar

Correa, A. A., & Rogers, R. (2010). Validation of the Spanish SIRS with monolingual Hispanic outpatients. Journal of Personality Assessment, 92, 458–464.Google Scholar

Crighton, A. H., Marek, R. J., Dragon, W. R., & Ben-Porath, Y. S. (2017). Utility of the MMPI-2-RF Validity Scales in detection of simulated underreporting: Implications of incorporating a manipulation check. Assessment, 24(7), 853–864.Google Scholar

Crighton, A. H., Wygant, D. B., Applegate, K. C., Umlauf, R. L., & Granacher, R. P. (2014). Can brief measures effectively screen for pain and somatic malingering? Examination of the Modified Somatic Perception Questionnaire and Pain Disability Index. The Spine Journal, 14, 2042–2050.Google Scholar

DeClue, G. (2011). Harry Potter and the structured interview of reported symptoms. Open Access Journal of Forensic Psychology, 3, 1–18.Google Scholar

Delis, D. C., Kramer, J. H., Kaplan, E., & Ober, B. A. (2000). CVLT-II: California verbal learning test: Adult version. . San Antonio, TX: Psychological Corporation.Google Scholar

Delis, D. C., Kramer, J. H., Kaplan, E., & Ober, B. A. (2017). CVLT-3: California verbal learning test (3rd ed.). Bloomington, MN: Psychological Corporation.Google Scholar

Dhillon, S., Bagby, R. M., Kushner, S. C., & Burchett, D. (2017). The impact of underreporting and overreporting on the validity of the Personality Inventory for DSM–5 (PID-5): A simulation analog design investigation. Psychological Assessment, 29, 473–478.Google Scholar

Dragon, W. R., Ben-Porath, Y. S., & Handel, R. W. (2012). Examining the impact of unscorable responses on the validity and interpretability of MMPI-2/MMPI-2-RF Restructured Clinical (RC) Scale scores. Assessment, 19(1), 101–113.Google Scholar

Fernandez, K., Boccaccini, M. T., & Noland, R. M. (2008). Detecting over- and underreporting of psychopathology with the Spanish-language Personality Assessment Inventory: Findings from a simulation study with bilingual speakers. Psychological Assessment, 20, 189–194.Google Scholar

Fishbain, D. A., Cole, B., Cutler, R.B., Lewis, J., Rosomoff, H. L., & Rosomoff, R. S. (2003). A structured evidenced-based review on the meaning of nonorganic physical signs: Waddell signs. Pain Medicine, 4, 141–181.Google Scholar

Fishbain, D. A., Cutler, R. B., Rosomoff, H. L., & Rosomoff, R. S. (2004). Is there a relationship between nonorganic physical findings (Waddell Signs) and secondary gain/malingering? Clinical Journal of Pain, 20, 399–408.Google Scholar

Frederick, R. I. (2000). A personal floor effect strategy to evaluate the validity of performance on memory tests. Journal of Clinical and Experimental Neuropsychology, 22, 720–730.Google Scholar

Frederick, R. I. (2003a). Validity Indicator Profile (enhancement and profile report). Minnetonka, MN: Pearson Assessments.Google Scholar

Frederick, R. I. (2003b). Review of the validity indicator profile. Journal of Forensic Neuropsychology, 2(3–4), 125–145.Google Scholar

Friedhoff, L. A., Burchett, D., Alosco, M., Rapier, J. L., Benitez, A., Gunstad, J., & Ben-Porath, Y. S. (2014). MMPI-2-RF VRIN-r and TRIN-r associations with neuropsychological measures in a university-based neuropsychological evaluation setting. Paper presented at the Annual Symposium on Recent MMPI-2, MMPI-2-RF, & MMPI-A Research, Scottsdale, AZ, April 25–26.Google Scholar

Frueh, B. C., Hamner, M. B., Cahill, S. P., Gold, P. B., & Hamlin, K. (2000). Apparent symptom overreporting among combat veterans evaluated for PTSD. Clinical Psychology Review, 20(7), 853–885.Google Scholar

Gaines, M. V. (2009). An examination of the combined use of the PAI and the M-FAST in detecting malingering among inmates. Unpublished doctoral dissertation, Texas Tech University.Google Scholar

Gervais, R. O., Ben-Porath, Y. S., Wygant, D. B., & Green, P. (2007). Development and validation of a Response Bias Scale (RBS) for the MMPI-2. Assessment, 14, 196–208.Google Scholar

Gervais, R. O., Rohling, M. L., Green, P., & Ford, W. (2004). A comparison of WMT, CARB, and TOMM failure rates in non-head injury disability claimants. Archives of Clinical Neuropsychology, 19, 475–87.Google Scholar

Gervais, R. O., Tarescavage, A. M., Greiffenstein, M. F., Wygant, D. B., Deslauriers, C., & Arends, P. (2018). Inconsistent responding on the MMPI-2-RF and uncooperative attitude: Evidence from cognitive performance validity measures. Psychological Assessment, 30, 410–415.Google Scholar

Glassmire, D. M., Jhawar, A., Burchett, D., & Tarescavage, A. M. (2016). Evaluating item endorsement rates for the MMPI-2-RF F-r and Fp-r scales across ethnic, gender, and diagnostic groups with a forensic inpatient unit. Psychological Assessment, 29, 500–508.Google Scholar

Glassmire, D. M., Tarescavage, A. M., & Gottfried, E. D. (2016). Likelihood of obtaining Structured Interview of Reported Symptoms (SIRS) and SIRS-2 elevations among forensic psychiatric inpatients with screening elevations on the Miller Forensic Assessment of Symptoms Test. Psychological Assessment, 28(12), 1586–1596.Google Scholar

Graham, J. R. (2012). MMPI-2: Assessing Personality and Psychopathology (5th ed.). New York: Oxford University Press.Google Scholar

Green, P. (2003). Green’s word memory test. Edmonton: Green’s Publishing.Google Scholar

Green, P. (2004). Medical Symptom Validity Test (MSVT) for Microsoft Windows: User’s manual. Edmonton: Green’s Publishing.Google Scholar

Green, P., & Iverson, G. L. (2001). Validation of the Computerized Assessment of Response Bias in litigating patients with head injuries. The Clinical Neuropsychologist, 15, 492–497.Google Scholar

Green, P., Rohling, M. L., Lees-Haley, P. R., & Allen, L. (2001). Effort has a greater effect on test scores than severe brain injury in compensation claimants. Brain Injury, 15, 1045–1060.Google Scholar

Greiffenstein, M. F., Baker, W. J., & Gola, T. (1994). Validation of malingered amnesia measures with a large clinical sample. Psychological Assessment, 6, 218–224.Google Scholar

Greve, K. W., Ord, J. S., Bianchini, K. J., & Curtis, M. S. (2009). Prevalence of malingering in patients with chronic pain referred for psychologic evaluation in a medico-legal context. Archives of Physical Medicine and Rehabilitation, 90, 1117–1126.Google Scholar

Guy, L. S., & Miller, H. A. (2004). Screening for malingered psychopathology in a correctional setting: Utility of the Miller-Forensic Assessment of Symptoms Test (M-FAST). Criminal Justice and Behavior, 31, 695–716.Google Scholar

Handel, R. W., Ben-Porath, Y. S., Tellegen, A., & Archer, R. P. (2010). Psychometric functioning of the MMPI-2-RF VRIN-r and TRIN-r scales with varying degrees of randomness, acquiescence, and counter-acquiescence. Psychological Assessment, 22, 87–95.Google Scholar

Hawes, S. W. & Boccaccini, M. T. (2009). Detection of overreporting of psychopathology on the Personality Assessment Inventory: A meta-analytic review. Psychological Assessment, 21, 112–124.Google Scholar

Heilbronner, R. L., Sweet, J. J., Morgan, J. E., Larrabee, G. J., Millis, S. R., & Conference Participants. (2009). American Academy of Clinical Neuropsychology Consensus Conference Statement on the neuropsychological assessment of effort, response bias, and malingering. The Clinical Neuropsychologist, 23(7), 1093–1129.Google Scholar

Himsl, K., Burchett, D., Tarescavage, A., & Glassmire, D. M. (2017). Assessing reading ability for psychological testing in forensic assessments: An investigation with the WRAT-4 and MMPI-2-RF. International Journal of Forensic Mental Health, 16(3), 239–248.Google Scholar

Hiscock, M., & Hiscock, C. K. (1989). Refining the forced-choice method for the detection of malingering. Journal of Clinical and Experimental Neuropsychology, 11(6), 967–974.Google Scholar

Hoelzle, J. B., Nelson, N. W., & Arbisi, P. A. (2012). MMPI-2 and MMPI-2-Restructured Form validity scales: Complimentary approaches to evaluate response validity. Psychological Injury and Law, 5, 174–191.Google Scholar

Holden, R. R., Kroner, D. G., Fekken, G. C., & Popham, S. M. (1992). A model of personality test item response dissimulation. Journal of Personality and Social Psychology, 63, 272–279.Google Scholar

Holden, R. R., & Lambert, C. E. (2015). Response latencies are alive and well for identifying fakers on a self-report personality inventory: A reconsideration of van Hooft and Born (2012). Behavioral Research, 47, 1436–1442.Google Scholar

Hopwood, C. J., Morey, L. C., Rogers, R., & Sewell, K. (2007). Malingering on the Personality Assessment Inventory: Identification of specific feigned disorders. Journal of Personality Assessment, 88, 43–48.Google Scholar

Hopwood, C. J., Orlando, M., & Clark, T. C. (2010). The detection of malingered pain-related disability with the Personality Assessment Inventory. Rehabilitation Psychology, 55, 307–310.Google Scholar

Hopwood, C. J., Talbert, C. A., Morey, L. C., & Rogers, R. (2008). Testing the incremental utility of the Negative Impression-Positive Impression differential in detecting simulated Personality Assessment Inventory profiles. Journal of Clinical Psychology, 64(3), 338–343.Google Scholar

Hunt, S., Root, J. C., & Bascetta, B. L. (2013). Effort testing in schizophrenia and schizoaffective disorder: Validity indicator profile and test of memory malingering performance characteristics. Archives of Clinical Neuropsychology, 29, 164–172.Google Scholar

Ingram, P. B., & Ternes, M. S. (2016). The detection of content-based invalid responding: A meta-analysis of the MMPI-2 Restructured Form’s (MMPI-2-RF) over-reporting Validity Scales. The Clinical Neuropsychologist, 30(4), 473–496.Google Scholar

Inman, T. H., Vickery, C. D., Berry, D. T., Lamb, D. G., Edwards, C. L., & Smith, G. T. (1998). Development and initial validation of a new procedure for evaluating adequacy of effort given during neuropsychological testing: The letter memory test. Psychological Assessment, 10(2), 128.Google Scholar

Iverson, G. L. (1998). 21-Item Test research manual. Vancouver: University of British Columbia.Google Scholar

Jackson, D. N., & Messick, S. (1958). Content and style in personality assessment. Psychological Bulletin, 55(4), 243–252.Google Scholar

Jasinski, L. J., Berry, D. T., Shandera, A. L., & Clark, J. A. (2011). Use of the Wechsler Adult Intelligence Scale Digit Span subtest for malingering detection: A meta-analytic review. Journal of Clinical and Experimental Neuropsychology, 33(3), 300–314.Google Scholar

Jasinski, L. J., Harp, J. P., Berry, D. T., Shandera-Ochsner, A. L., Mason, L. H., & Ranseen, J. D. (2011). Using symptom validity tests to detect malingered ADHD in college students. The Clinical Neuropsychologist, 25(8), 1415–1428.Google Scholar

Johnson, T., Kulesa, P., Cho, Y. I., & Shavitt, S. (2005). The relation between culture and response styles: Evidence from 19 countries. Journal of Cross-Cultural Psychology, 36, 264–277.Google Scholar

Jürges, H. (2007). True health vs response styles: Exploring cross-cultural differences in self-reported health. Health Economics, 16, 163–178.Google Scholar

Keeley, J. W., Webb, C., Peterson, D., Roussin, L., & Flanagan, E. H. (2016). Development of a Response Inconsistency Scale for the Personality Inventory for DSM-5. Journal of Personality Assessment, 98(4), 351–359.Google Scholar

Larrabee, G. J. (2003a). Exaggerated MMPI-2 symptom report in personal injury litigants with malingered neurocognitive deficit. Archives of Clinical Neuropsychology, 18, 673–686.Google Scholar

Larrabee, G. J. (2003b). Detection of malingering using atypical performance patterns on standard neuropsychological tests. The Clinical Neuropsychologist, 17, 410–425.Google Scholar

Lees-Haley, P. R., English, L. T., & Glenn, W. J. (1991). A fake bad scale on the MMPI-2 for personal-injury claimants. Psychological Reports, 68, 203–201.Google Scholar

Lewis, C., & Morrissey, C. (2010). The association between self-report and informant reports of emotional problems in a high secure intellectual disability sample. Advances in Mental Health and Intellectual Disabilities, 4(2), 44–49.Google Scholar

Lewis, J. L., Simcox, A. M., & Berry, D. T. R. (2002). Screening for feigned psychiatric symptoms in a forensic sample by using the MMPI-2 and the Structured Inventory of Malingered Symptomatology. Psychological Assessment, 14, 170–176.Google Scholar

Lezak, M. (1983). Neuropsychological Assessment (2nd ed.). New York: Oxford University Press.Google Scholar

Lezak, M., Howieson, D.B., & Loring, D.W. (2004). Neuropsychological Assessment (4th ed.). New York: Oxford University Press.Google Scholar

Liu, C., Liu, Z., Chiu, H. F. K., Carl, T. W., Zhang, H., Wang, P., et al. (2013). Detection of malingering: Psychometric evaluation of the Chinese version of the structured interview of reported symptoms-2. BMC Psychiatry, 13, https://doi.org/10.1186/1471-244X-13-254 Google Scholar

Main, C.J. (1983). The Modified Somatic Perception Questionnaire (MSPQ). Journal of Psychosomatic Research, 27, 503–514.Google Scholar

McBride, W. F., Crighton, A. H., Wygant, D. B., & Granacher, R .P. (2013). It’s not all in your head (or at least your brain): Association of traumatic brain lesion presence and location with performance on measures of response bias and forensic evaluation. Behavioral Sciences and the Law, 31, 774–778.Google Scholar

Merckelbach, H., & Smith, G. P. (2003). Diagnostic accuracy of the Structured Inventory of Malingered Symptomatology (SIMS) in detecting instructed malingering. Archives of Clinical Neuropsychology, 18, 145–152.Google Scholar

Miller, H. A. (2001). Miller-Forensic Assessment of Symptoms Test (M-FAST): Professional manual. Odessa, FL: Psychological Assessment Resources.Google Scholar

Miller, H. A. (2004). Examining the use of the M-FAST with criminal defendants incompetent to stand trial. International Journal of Offender and Comparative Criminology, 48, 268–280.Google Scholar

Millis, S. R., & Kler, S. (1995). Limitations of the Rey Fifteen-Item Test in the detection of malingering. The Clinical Neuropsychologist, 9(3), 241–244.Google Scholar

Millon, T., Millon, C., & Grossman, S. (2015). Millon Clinical Multiaxial Inventory – IV manual (4th ed.). Bloomington: NCS Pearson.Google Scholar

Mittenberg, W., Patton, C., Canyock, E. M., & Condit, D. C. (2002). Base rates of malingering and symptom exaggeration. Journal of Clinical and Experimental Neuropsychology, 24, 1094–1102.Google Scholar

Mogge, N. L., Lepage, J. S., Bell, T., & Ragatz, L. (2010). The negative distortion scale: A new PAI validity scale. Journal of Forensic Psychiatry and Psychology, 21, 77–90.Google Scholar

Montes, O., & Guyton, M. R. (2014). Performance of Hispanic inmates on the Spanish Miller Forensic Assessment of Symptoms Test (M-FAST). Law and Human Behavior, 38, 428–438.Google Scholar

Morey, L. C. (1991/2007). Personality Assessment Inventory professional manual (2nd ed.). Odessa, FL: Psychological Assessment Resources.Google Scholar

Musso, M. W., Hill, B. D., Barker, A. A., Pella, R. D., & Gouvier, W. D. (2016). Utility of the Personality Assessment Inventory for detecting malingered ADHD in college students. Journal of Attention Disorders, 20(9), 763–774.Google Scholar

Nadolny, E., & O’Dell, R. T. (2010). Measures of central tendency and intercorrelations within and between the SIMS and the M-FAST among medium security prison inmates. American Journal of Forensic Psychology, 28, 51–67.Google Scholar

Neo, B., Sellbom, M., & Wygant, D. B. (in press). Evaluating the Psychometric Effects and Assessment of Inconsistent Responding on the Psychopathic Personality Inventory-Revised in a Correctional Sample. Journal of Personality Disorders.Google Scholar

Pankratz, L. (1979). Symptom validity testing and symptom retraining: Procedures for the assessment and treatment of functional sensory deficits. Journal of Consulting and Clinical Psychology, 47, 409–410.Google Scholar

Pollard, C. A. (1984). Preliminary validity study of the Pain Disability Index. Perceptual Motor Skills, 59, 974.Google Scholar

Rey, A. (1941). L’examen psychologique dans les cas d’encephalopathie traumatique. Archives de Psychologie, 28, 286–340.Google Scholar

Rey, A. (1964). L’examen clinique en psychologie. Paris: Presses universitaires de France.Google Scholar

Roberson, C. J., Boone, K. B., Goldberg, H., Miora, D., Cottingham, M., Victor, T. et al. (2013). Cross validation of the b Test in a large known groups sample. The Clinical Neuropsychologist, 27, 495–508.Google Scholar

Robles, L., Salazar, L. E., Boone, K. B., & Glaser, D. F. (2015). Specificity data for the b Test, Dot Counting Test, Rey-15 Item Plus Recognition, and Rey Word Recognition Test in monolingual Spanish-speakers. Journal of Clinical and Experimental Neuropsychology, 37, 614–621.Google Scholar

Rogers, R. (2018a). Detection strategies for malingering and defensiveness. In Rogers, R. & Bender, S. D. (Eds.), Clinical assessment of malingering and deception (4th ed., pp. 18–41). New York: Guilford.Google Scholar

Rogers, R. (2018b). Structured interviews and dissimulation. In Rogers, R. & Bender, S.D. (Eds.), Clinical assessment of malingering and deception (4th ed., pp. 423–448). New York: Guilford.Google Scholar

Rogers, R., Bagby, R. M., & Dickens, S. E. (1992). Structured Interview of Reported Symptoms (SIRS) and professional manual. Odessa, FL: Psychological Assessment Resources.Google Scholar

Rogers, R., Ornduff, S. R., & Sewell, K. W. (1993). Feigning specific disorders: A study of the Personality Assessment Inventory (PAI). Journal of Personality Assessment, 60, 554–560.Google Scholar

Rogers, R., Sewell, K. W., & Gillard, N. D. (2010). Structured Interview of Reported Symptoms (2nd ed.). Odessa, FL: Psychological Assessment Resources.Google Scholar

Rogers, R., Sewell, K. W., Morey, L. C., & Ustad, K. L. (1996). Detection of feigned mental disorders on the Personality Assessment Inventory: A discriminant analysis. Journal of Personality Assessment, 67, 629–640.Google Scholar

Rubenzer, S. (2010). Review of the Structured Interview of Reported Symptoms-2 (SIRS-2). Open Access Journal of Forensic Psychology, 2, 273–286.Google Scholar

Sanchez, G., Ampudia, A. Jimenez, F., & Amado, B. G. (2017). Contrasting the efficacy of the MMPI-2-RF overreporting scales in the detection of malingering. The European Journal of Psychology Applied in the Legal Context, 9, 51–56.Google Scholar

Schmidt, M. (1996). Rey auditory verbal learning test: A handbook. Los Angeles: Western Psychological Services.Google Scholar

Schutte, C., & Axelrod, B. N. (2013). Use of embedded cognitive symptom validity measures in mild traumatic brain injury cases. In Bush, S. S. (Ed.), Mild traumatic brain injury: Symptom validity assessment and malingering (pp. 159–181). New York: Springer.Google Scholar

Sellbom, M., & Bagby, R. M. (2008a). Response styles on multiscale inventories. In Rogers, R. (Ed.), Clinical assessment of malingering and deception (3rd ed., pp. 182–206). New York: Guilford.Google Scholar

Sellbom, M., & Bagby, R. M. (2008b). Validity of the MMPI-2-RF (Restructured Form) L-r and K-r scales in detecting underreporting in clinical and nonclinical samples. Psychological Assessment, 20, 370–376.Google Scholar

Sellbom, M., Wygant, D. B., & Bagby, R. M. (2012). Utility of the MMPI-2-RF in detecting non-credible somatic complaints. Psychiatry Research, 197, 295–301.Google Scholar

Sharf, A. J., Rogers, R., Williams, M. M., & Henry, S. A. (2017). The effectiveness of the MMPI-2-RF in detecting feigned mental disorders and cognitive deficits: A meta-analysis. Journal of Psychopathology and Behavioral Assessment, 39, 441–455. https://doi.org/10.1007/s10862-017-9590-1 Google Scholar

Slick, D., Hopp, G., Strauss, E., & Thompson, G. (1997). The Victoria Symptom Validity Test. Odessa, FL: Psychological Assessment Resources.Google Scholar

Slick, D. J., Sherman, E. M., & Iverson, G. L. (1999). Diagnostic criteria for malingered neurocognitive dysfunction: Proposed standards for clinical practice and research. The Clinical Neuropsychologist, 13, 545–561.Google Scholar

Smith, G. P. (2008). Brief screening measures for the detection of feigned psychopathology. In Rogers, R. (Ed.), Clinical assessment of malingering and deception (3rd ed., pp. 323–339). New York: Guilford.Google Scholar

Smith, G. (2018). Brief measures for the detection of feigning and impression management. In Rogers, R. & Bender, S. D. (Eds.), Clinical assessment of malingering and deception (4th ed., pp. 449–472). New York: Guilford.Google Scholar

Sollman, M. J., & Berry, D. T. (2011). Detection of inadequate effort on neuropsychological testing: A meta-analytic update and extension. Archives of Clinical Neuropsychology, 26(8), 774–789.Google Scholar

Spencer, R. J., Axelrod, B. N., Drag, L. L., Waldron-Perrine, B., Pangilinan, P. H., & Bieliauskas, L. A. (2013). WAIS-IV reliable digit span is no more accurate than age corrected scaled score as an indicator of invalid performance in a veteran sample undergoing evaluation for mTBI. The Clinical Neuropsychologist, 27(8), 1362–1372.Google Scholar

Stedman, J. M., McGeary, C. A., & Essery, J. (2017). Current patterns of training in personality assessment during internship. Journal of Clinical Psychology. Advance online publication. https://doi.org/10.1002/jclp.22496 Google Scholar

Sullivan, K., & King, J. (2010). Detecting faked psychopathology: A comparison of two tests to detect malingered psychopathology using a simulation design. Psychiatry Research, 176, 75–81.Google Scholar

Sweet, J. J., Condit, D. C., & Nelson, N. W. (2008). Feigned amnesia and memory loss. In Rogers, R. (Ed.), Clinical assessment of malingering and deception (3rd ed., pp. 218–236). New York: Guilford.Google Scholar

Tarescavage, A. M., & Glassmire, D. M. (2016). Differences between structured interview of reported symptoms (SIRS) and SIRS-2 sensitivity estimates among forensic inpatients: A criterion groups comparison. Law and Human Behavior, 40, 488–502.Google Scholar

Thompson, G. B. (2003). The Victoria Symptom Validity Test: An enhanced test of symptom validity. Journal of Forensic Neuropsychology, 2, 43–67.Google Scholar

Tombaugh, T. N. (1996). Test of Memory Malingering: TOMM. New York: MHS Assessments.Google Scholar

Tombaugh, T. N. (2002). The Test of Memory Malingering (TOMM) in forensic psychology. Journal of Forensic Neuropsychology, 2, 69–96.Google Scholar

Tylicki, J. L. Wygant, D. B., Tarescavage, A. M., Frederick, R. I., Tyner, E. A., Granacher, R. P., & Sellbom, M. (2018). Comparability of Structured Interview of Reported Symptoms (SIRS) and Structured Interview of Reported Symptoms – 2nd Edition (SIRS-2) classifications with external response bias criteria. Psychological Assessment, 30, 1144–1159.Google Scholar

Van Impelen, A., Merckelbach, H., Jelicic, M., & Merten., T. (2014). The Structured Inventory of Malingered Symptomatology (SIMS): A systematic review and meta-analysis. The Clinical Neuropsychologist, 28, 1336–1365.Google Scholar

Veazey, C. H., Hays, J. R., Wagner, A. L., & Miller, H. A. (2005). Validity of the Miller Forensic Assessment of Symptoms Test in psychiatric inpatients. Psychological Reports, 96, 771–774.Google Scholar

Vickery, C. D., Berry, D. T., Inman, T. H., Harris, M. J., & Orey, S. A. (2001). Detection of inadequate effort on neuropsychological testing: A meta-analytic review of selected procedures. Archives of Clinical Neuropsychology, 16(1), 45–73.Google Scholar

Vitacco, M. J., Rogers, R., Gabel, J., & Munizza, J. (2007). An evaluation of malingering screens with competency to stand trial patients: a known-groups comparison. Law and Human Behavior, 31, 249–260.Google Scholar

Waddell, G., McCulloch, J.A., Kummel, E., & Venner, R. M. (1980). Nonorganic physical signs in low-back pain. Spine, 5, 117–125.Google Scholar

Weiss, R. A., Rosenfeld, B., & Farkas, M. R. (2011). The utility of the Structured Interview of Reported Symptoms in a sample of individuals with intellectual disabilities. Assessment, 18(3), 284–290.Google Scholar

Widows, M., & Smith, G. P. (2005). Structured Inventory of Malingered Symptomatology (SIMS): Professional manual. Odessa, FL: Psychological Assessment Resources.Google Scholar

Wiggins, C. W., Wygant, D. B., Hoelzle, J. B., & Gervais, R. O. (2012). The more you say the less it means: Overreporting and attenuated criterion validity in a forensic disability sample. Psychological Injury and Law, 5, 162–173.Google Scholar

Wygant, D. B., Anderson, J. L., Sellbom, M., Rapier, J. L., Allgeier, L. M., & Granacher, R. P. (2011). Association of the MMPI-2 Restructured Form (MMPI-2-RF) Validity Scales with structured malingering criteria. Psychological Injury and Law, 4, 13–23.Google Scholar

Wygant, D. B., Arbisi, P. A., Bianchini, K. J., & Umlauf, R. L. (2017). Waddell nonorganic signs: New evidence suggests somatic amplification among outpatient chronic pain patients. The Spine Journal, 17, 505–510.Google Scholar

Wygant, D. B., Ben-Porath, Y. S., & Arbisi, P. A. (2004). Development and initial validation of a scale to detect infrequent somatic complaints. Poster presented at the 39th Annual Symposium on Recent Developments of the MMPI-2/MMPI-A, Minneapolis, MN, May.Google Scholar

Wygant, D. B., Walls, B. D., Brothers, S. L., & Berry, D. T. R. (2018). Assessment of malingering and defensiveness on the MMPI-2 and MMPI-2-RF. In Rogers, R & Bender, S. D. (Eds.), Clinical assessment of malingering and deception (4th ed., pp. 267–279). New York: Guilford Press.Google Scholar

References

American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (5th ed.). Washington, DC: American Psychiatric Association. https://dsm.psychiatryonline.org/doi/full/10.1176/appi.books.9780890425596.dsm02 Google Scholar

Barrett, L. F., Gross, J., Christensen, T. C., & Benvenuto, M. (2001). Knowing what you are feeling and knowing what to do about it: Mapping the relation between emotion differentiation and emotion regulation. Cognition and Emotion, 15, 713–724.Google Scholar

Ben-Zeev, D., & Young, M. A. (2010). Accuracy of hospitalized depressed patients’ and healthy controls’ retrospective symptom reports: An experience sampling study. The Journal of Nervous and Mental Disease, 198(4), 280–285.Google Scholar

Buckner, J. D., Crosby, R. D., Wonderlich, S. A., & Schmidt, N. B. (2012). Social anxiety and cannabis use: An analysis from ecological momentary assessment. Journal of Anxiety Disorders, 26, 297–304.Google Scholar

Byambasuren, O., Sanders, S., Beller, E., & Glasziou, P. (2018). Prescribable mHealth apps identified from an overview of systematic reviews. npj Digital Medicine, 1(1), 12.Google Scholar

Carpenter, R. W., Wycoff, A. M., & Trull, T. J. (2016). Ambulatory assessment: New adventures in characterizing dynamic processes. Assessment, 23, 414–424.Google Scholar

Cohn, A. M., Hunter‐Reel, D., Hagman, B. T., & Mitchell, J. (2011). Promoting behavior change from alcohol use through mobile technology: The future of ecological momentary assessment. Alcoholism: Clinical and Experimental Research, 35(12), 2209–2215.Google Scholar

Conner, T. S., & Lehman, B. J. (2012). Getting started: Launching a study in daily life. In Mehl, M. R. & Connor, T. S. (Eds.), Handbook of research methods for studying daily life (pp. 89–107). New York: Guilford Press.Google Scholar

Crooke, A. H., Reid, S. C., Kauer, S. D., McKenzie, D. P., Hearps, S. J., Khor, A. S., & Forbes, A. B. (2013). Temporal mood changes associated with different levels of adolescent drinking: Using mobile phones and experience sampling methods to explore motivations for adolescent alcohol use. Drug and Alcohol Review, 32, 262–268.Google Scholar

Delespaul, P. A., & DeVries, M. W. (1987). The daily life of ambulatory chronic mental patients. The Journal of Nervous and Mental Disease, 175, 537–544.Google Scholar

Dubad, M., Winsper, C., Meyer, C., Livanoud, M., & Marwaha, S. (2018). A systematic review of the psychometric properties, usability and clinical impacts of mobile mood-monitoring applications in young people. Psychological Medicine, 48, 208–228.Google Scholar

Ebner-Priemer, U. W., & Sawitzki, G. (2007). Ambulatory assessment of affective instability in borderline personality disorder: The effect of sampling frequency. European Journal of Psychological Assessment, 23, 238–247.Google Scholar

Ebner-Priemer, U. W., & Trull, T. J. (2009). Ecological momentary assessment of mood disorders and mood dysregulation. Psychological Assessment, 21, 463–475.Google Scholar

Fatseas, M., Serre, F., Alexandre, J. M., Debrabant, R., Auriacombe, M., & Swendsen, J. (2015). Craving and substance use among patients with alcohol, tobacco, cannabis or heroin addiction: A comparison of substance‐and person‐specific cues. Addiction, 110(6), 1035–1042.Google Scholar

Fisher, C. D., & To, M. L. (2012). Using experience sampling methodology in organizational behavior. Journal of Organizational Behavior, 33(7), 865–877.Google Scholar

Fredrickson, B. L., & Kahneman, D. (1993). Duration neglect in retrospective evaluations of affective episodes. Journal of Personality and Social Psychology, 65, 45–55.Google Scholar

Gard, D. E., Kring, A. M., Gard, M. G., Horan, W. P., & Green, M. F. (2007). Anhedonia in schizophrenia: Distinctions between anticipatory and consummatory pleasure. Schizophrenia Research, 93(1–3), 253–260.Google Scholar

Glaser, J. P., van Os, J., Mengelers, R., Myin-Germeys, I. (2007). A momentary assessment study of the reputed emotional phenotype associated with borderline personality disorder. Psychological Medicine, 38, 1–9.Google Scholar

Hebert, E. T., Stevens, E. M., Frank, S. G., Kendzor, D. E., Wetter, D. W., Zvolensky, M. J. et al. (2018). An ecological momentary intervention for smoking cessation: The associations of just-in-time, tailored messages with lapse risk factors. Addictive Behaviors, 78, 30–35.Google Scholar

Heron, K. E., & Smyth, J. M. (2010). Ecological momentary interventions: Incorporating mobile technology into psychosocial and health behaviour treatments. The British Journal of Health Psychology, 15, 1–39.Google Scholar

Horan, W. P., Green, M. F., Kring, A. M., & Nuechterlein, K. H. (2006). Does anhedonia in schizophrenia reflect faulty memory for subjectively experienced emotions? Journal of Abnormal Psychology, 115(3), 496.Google Scholar

Hsin, H., Fromer, M., Peterson, B., Walter, C., Fleck, M., Campbell, A. et al. (2018). Transforming psychiatry into data-driven medicine with digital measurement tools. npj Digital Medicine, 1(1), 37.Google Scholar

Intille, S. S. (2007). Technological innovations enabling automatic, context-sensitive ecological momentary assessment. In Stone, A. A. & Shiffman, S. (Eds.), The science of real-time data capture: Self-reports in health research (pp. 308–337). Oxford: Oxford University Press.Google Scholar

Kaplan, R. M., & Stone, A. A. (2013). Bringing the laboratory and clinic to the community: Mobile technologies for health promotion and disease prevention. Annual Review of Psychology, 64, 471–498.Google Scholar

Kring, A. M., & Moran, E. K. (2008). Emotional response deficits in schizophrenia: Insights from affective science. Schizophrenia Bulletin, 34(5), 819–834.Google Scholar

Kuppens, P., Sheeber, L. B., Yap, M. B., Whittle, S., Simmons, J. G., & Allen, N. B. (2012). Emotional inertia prospectively predicts the onset of depressive disorder in adolescence. Emotion, 12, 283–289.Google Scholar

Luxton, D. D., McCann, R. A., Bush, N. E., Mishkind, M. C., & Reger, G. M. (2011). mHealth for mental health: Integrating smartphone technology in behavioral healthcare. Professional Psychology: Research and Practice, 42, 505–512.Google Scholar

Mehl, M. R., Pennebaker, J. W., Crow, D. M., Dabbs, J., & Price, J. H. (2001). The Electronically Activated Recorder (EAR): A device for sampling naturalistic daily activities and conversations. Behavior Research Methods, Instruments, and Computers, 33(4), 517–523.Google Scholar

Moore, T. M., Seavey, A., Ritter, K., McNulty, J. K., Gordon, K. C., & Stuart, G. L. (2014). Ecological momentary assessment of the effects of craving and affect on risk for relapse during substance abuse treatment. Psychology of Addictive Behaviors, 28(2), 619–624.Google Scholar

Myin-Germeys, I., Delespaul, P. A., & DeVries, M. W. (2000). Schizophrenia patients are more emotionally active than is assumed based on their behavior. Schizophrenia Bulletin, 26(4), 847–854.Google Scholar

Myin-Germeys, I., Peeters, F., Havermans, R., Nicolson, N. A., DeVries, M. W., Delespaul, P. et al. (2018). Experience sampling methodology in mental health research: New insights and technical developments. World Psychiatry, 17, 123–132.Google Scholar

Myin‐Germeys, I., Peeters, F. P. M. L., Havermans, R., Nicolson, N. A., DeVries, M. W., Delespaul, P. A. E. G., & Van Os, J. (2003). Emotional reactivity to daily life stress in psychosis and affective disorder: An experience sampling study. Acta Psychiatrica Scandinavica, 107(2), 124–131.Google Scholar

Nahum-Shani, I., Hekler, E. B., & Spruijt-Metz, D. (2015). Building health behavior models to guide the development of just-in-time interventions: A pragmatic framework. Health Psychology, 34, 1209–1219.Google Scholar

Oorschot, M., Kwapil, T.R., Delespaul, P., & Myin-Germeys, I. (2009). Momentary assessment research in psychosis. Psychological Assessment, 21, 498–505.Google Scholar

Oorschot, M., Lataster, T., Thewissen, V., Lardinois, M., Wichers, M., van Os, J. et al. (2013). Emotional experience in negative symptoms of schizophrenia: No evidence for a generalized hedonic deficit. Schizophrenia Bulletin, 39(1), 217–225.Google Scholar

Perna, G., Grassi, M., Caldi, D., & Nemeroff, C. B. (2018). The revolution of personality psychiatry: Will technology make it happen sooner? Psychological Medicine, 48, 705–713.Google Scholar

Pew Research Center. (2018). Mobile fact sheet. February 5. www.pewinternet.org/fact-sheet/mobile/Google Scholar

Pfaltz, M. C., Michael, T., Grossman, P., Margraf, J., & Wilhelm, F. H. (2010). Instability of physical anxiety symptoms in daily life of patients with panic disorder and patients with posttraumatic stress disorder. Journal of Anxiety Disorders, 24(7), 792–798.Google Scholar

Piasecki, T. M., Hufford, M. R., Solhan, M., & Trull, T. J. (2007). Assessing clients in their natural environments with electronic diaries: Rationale, benefits, limitations, and barriers. Psychological Assessment, 19, 25–43.Google Scholar

Prentice, J. L., & Dobson, K. S. (2014). A review of the risk and benefits associated with mobile phone applications and psychological interventions. Canadian Psychology, 55, 282–290.Google Scholar

Ray, L. A., Miranda, R. Jr., Tidey, J. W., McGeary, J. E., MacKillop, J., Gwaltney, C. J. et al. (2010). Polymorphisms of the μ-opioid receptor and dopamine D₄ receptor genes and subjective responses to alcohol in the natural environment. Journal of Abnormal Psychology, 119(1), 115–125.Google Scholar

Schneekloth, T. D., Biernacka, J. M., Hall-Flavin, D. K., Karpyak, V. M., Frye, M. A., Loukianova, L. L. et al. (2012). Alcohol craving as a predictor of relapse. The American Journal on Addictions, 21, S20–S26.Google Scholar

Schueller, S. M., Begale, M., Penedo, F. J., & Mohr, D. C. (2014). Purple: A modular system for developing and deploying behavioral intervention technologies. Journal of Medical Internet Research, 16, e181.Google Scholar

Shiffman, S., Stone, A. A., & Hufford, M. R. (2008). Ecological momentary assessment. Annual Review of Clinical Psychology, 4, 1–32.Google Scholar

Shrout, P. E., & Lane, S. P. (2011). Psychometrics. In Mehl, M. R. & Conner, T. S. (Eds.), Handbook of research methods for studying daily life (pp. 302–320). New York: Guilford Press.Google Scholar

Solhan, M. B., Trull, T. J., Jahng, S., & Wood, P. K. (2009). Clinical assessment of affective instability: Comparing EMA indices, questionnaire reports, and retrospective recall. Psychological Assessment, 21, 425–436.Google Scholar

Stiglmayr, C. E., Ebner-Priemer, U. W., Bretz, J., Behm, R., Mohse, M., Lammers, C. H. et al. (2008). Dissociative symptoms are positively related to stress in borderline personality disorder. Acta Psychiatrica Scandinavica, 117, 139–147.Google Scholar

Stone, A. A., & Shiffman, S. (1994). Ecological momentary assessment (EMA) in behavioral medicine. Annals of Behavioral Medicine, 16(3), 199–202.Google Scholar

Stone, A. A., Shiffman, S., Atienza, A. A., & Nebeling, L. (2007). Historical roots and rationale of ecological momentary assessment (EMA). In Stone, A. A. & Shiffman, S. (Eds.), The science of real-time data capture: Self-reports in health research (pp. 3–10). Oxford: Oxford University Press.Google Scholar

Stone, A. A., Shiffman, S., Schwartz, J. E., Broderick, J. E., & Hufford, M. R. (2002). Patient non-compliance with paper diaries. BMJ, 324(7347), 1193–1194.Google Scholar

Trull, T. J., & Ebner-Priemer, U. (2013). Ambulatory assessment. Annual Review of Clinical Psychology, 9, 151–176.Google Scholar

Trull, T. J., Lane, S. P., Koval, P., & Ebner-Priemer, U. W. (2015). Affective dynamics in psychopathology. Emotion Review, 7(4), 355–361.Google Scholar

Trull, T. J., Solhan, M. B., Traggesser, S. L., Jahng, S., Wood, P. K., Piasecki, T. M., & Watson, D. (2008). Affective instability: Measuring a core feature of borderline personality disorder with ecological momentary assessment. Journal of Abnormal Psychology, 117, 647–661.Google Scholar

Van de Leemput, I. A., Wichers, M., Cramer, A. O., Borsboom, D., Tuerlinckx, F., Kuppens, P., et al. (2014). Critical slowing down as early warning for the onset and termination of depression. Proceedings of the National Academy of Sciences, 111, 87–92.Google Scholar

Van Os, J., Delespaul, P., Wigman, J., Myin-Germeys, I., & Wichers, M. (2013). Beyond DSM and ICD: Introducing “precision diagnosis” for psychiatry using momentary assessment technology. World Psychiatry, 12, 113–117.Google Scholar

Villar, R., Beltrame, T., & Hughson, R. L. (2015). Validation of the Hexoskin wearable vest during lying, sitting, standing, and walking activities. Applied Physiology, Nutrition, and Metabolism, 40(10), 1019–1024.Google Scholar

Walentynowicz, M., Schneider, S., & Stone, A. A. (2018). The effects of time frames on self-report. PloS ONE, 13(8), e0201655.Google Scholar

Walz, L. C., Nauta, M. H., & aan het Rot, M. (2014). Experience sampling and ecological momentary assessment for studying the daily lives of patients with anxiety disorders: A systematic review. Journal of Anxiety Disorders, 28(8), 925–937.Google Scholar

Wilhelm, P., Perrez, M., & Pawlik, K. (2012). Conducting research in daily life: A historical review. In Mehl, M. R. & Connor, T. A. (Eds.), Handbook of research methods for studying daily life (pp. 62–86). New York: Guilford Press.Google Scholar

Wright, C., Dietze, P. M., Agius, P. A., Kuntzche, E., Livingston, M., Black, O. C. et al. (2018). Mobile phone-based ecological momentary intervention to reduce young adults’ alcohol use in the event: A three-armed randomized controlled trial. Journal of Medical Internet Research mHealth and uHealth, 6(7), e149.Google Scholar

References

Ackerman, S. J., Hilsenroth, M. J., Baity, M. R., & Blagys, M. D. (2000). Interaction of therapeutic process and alliance during psychological assessment. Journal of Personality Assessment, 75, 82–109.Google Scholar

Adler, J. M. (2012). Living into the story: Agency and coherence in a longitudinal study of narrative identity development and mental health over the course of psychotherapy. Journal of Personality and Social Psychology, 102(2), 367–389.Google Scholar

Aldea, M. A., Rice, K. G., Gormley, B., & Rojas, A. (2010). Testing perfectionists about their perfectionism: Effects of providing feedback on emotional reactivity and psychological symptoms. Behavior Research and Therapy, 48, 1194–1203.Google Scholar

Aschieri, F., Fantini, F., & Smith, J. D. (2016). Collaborative/therapeutic assessment: Procedures to enhance client outcomes. In Maltzman, S. (Ed.), The Oxford handbook of treatment processes and outcomes in psychology: A multidisciplinary, biopsychosocial approach (pp. 241–269). Oxford: Oxford University Press.Google Scholar

Blonigen, D. M., Timko, C., Jacob, T., & Moos, R. H. (2015). Patient-centered feedback on the results of personality testing increases early engagement in residential substance use disorder treatment: A pilot randomized control trial. Addiction Science and Clinical Practice, 10(9). https://doi.org/10.1186/s13722-015-0030-9 Google Scholar

Bornstein, R. F. (2017). Evidence-based psychological assessment. Journal of Personality Assessment, 99(4), 435–445.Google Scholar

Cheek, J. M., & Buss, A. H. (1981). Shyness and sociability. Journal of Personality and Social Psychology, 41, 330–339.Google Scholar

Chesham, R. K., Malouff, J. M., & Schutte, N. S. (2018). Meta-analysis of the efficacy of virtual reality exposure therapy for social anxiety. Behaviour Change, 25, 152–166. https://doi.org/10.1017/bec2018.15 CrossRef Google Scholar

Derogatis, L. R. (1983). SCL-90-R Administration, scoring, and procedures manual – II for the R(evised) version. Towson, MD: Clinical Psychometric Research.Google Scholar

De Saeger, H., Bartak, A., Eder, E. E., & Kamphuis, J. H. (2016). Memorable experiences in Therapeutic Assessment: Inviting the patient’s perspective following a pretreatment randomized controlled trial. Journal of Personality Assessment, 98(5), 472–479. doi.org/10.1080/00223891.2015.1136314 Google Scholar

De Saeger, H., Kamphuis, J. H., Finn, S. E., Verheul, R., Smith, J. D., van Busschbach, J. J. V., Feenstra, D., & Horn, E. (2014). Therapeutic Assessment promotes treatment readiness but does not affect symptom change in patients with personality disorders: Findings from a randomized clinical trial. Psychological Assessment, 26(2), 474–483.Google Scholar

Durosini, I., & Aschieri, F. (2018). Therapeutic Assessment effectiveness: A meta-analytic study. Paper presented at Performance Based Assessment Around the World session, Society for Personality Assessment, Annual Convention, Washington, DC, March 17.Google Scholar

Engelman, D. H., & Allyn, J. B. (2012). Collaboration in neuropsychological assessment: Metaphor as intervention with a suicidal adult. In Finn, S. E., Fischer, C. T., & Handler, L. (Eds.), Collaborative/Therapeutic Assessment: A casebook and guide. New York: Wiley.Google Scholar

Epston, D., & White, M. (1995). Consulting your consultants: A means to the co-construction of alternative knowledges. In Friedman, S. (Ed.), The reflecting team in action: Collaborative practice in family therapy (pp. 277–313). New York: Guilford Press.Google Scholar

Fenigstein, A., Scheier, M. F., & Buss, A. H. (1975). Public and private self-consciousness: Assessment and theory. Journal of Consulting and Clinical Psychology, 43, 522–527.Google Scholar

Finn, S. E. (2007). In our clients’ shoes: Theory and techniques of Therapeutic Assessment. Mahwah, NJ: Lawrence Erlbaum Associates.Google Scholar

Finn, S. E. (2009). The many faces of empathy in experiential, person-centered, collaborative assessment. Journal of Personality Assessment, 91, 20–23.Google Scholar

Finn, S. E. (2015a). Core values in Therapeutic Assessment. Therapeutic Assessment Institute (website). www.therapeuticassessment.com Google Scholar

Finn, S. E. (2015b). Therapeutic Assessment with couples. Pratiques Psychologues, 21, 345–373.Google Scholar

Finn, S. E. (2016). Using therapeutic assessment in psychological assessment required for sex reassignment surgery. In Brabender, V. & Mihura, J. L. (Eds.), Handbook of gender and sexuality in psychological assessment (pp. 511–533). New York: Routledge.Google Scholar

Finn, S. E., De Saeger, H., & Kamphuis, J. H. (2017). An ultra-brief model of Therapeutic Assessment. Workshop presented at the annual meeting of the Society for Personality Assessment, San Francisco, March.Google Scholar

Finn, S. E., Frackowiak, M., Schaber, P., Tharinger, D. J., & Smith, J. D. (2012). Building a strong alliance in the initial session of adult and adolescent assessments. Workshop presented at the annual meeting of the Society for Personality Assessment, Chicago, March.Google Scholar

Finn, S. E., & Kamphuis, J. H. (2006). Therapeutic Assessment with the MMPI-2. In Butcher, J. N. (Ed.), MMPI-2: A practitioners guide (pp. 165–191). Washington, DC: APA Books.Google Scholar

Finn, S. E., & Martin, E. H. (2013). Therapeutic Assessment: Using psychological testing as brief therapy. In Geisinger, K. F. (Ed.), APA handbook of testing and assessment in psychology, Vol. 2 (pp. 453–465). Washington, DC: American Psychological Association.Google Scholar

Finn, S. E., & Tonsager, M. E. (1992). The therapeutic effects of providing MMPI-2 test feedback to college students awaiting psychotherapy. Psychological Assessment, 4, 278–287.Google Scholar

Fischer, C. T. (1985/1994). Individualizing psychological assessment. Mahwah, NJ: Lawrence Erlbaum Associates.Google Scholar

Fonagy, P., Luyten, P., & Allison, E. (2015). Epistemic petrification and the restoration of epistemic trust: A new conceptualization of borderline personality disorder and its psychosocial treatment. Journal of Personality Disorders, 29, 575–609.Google Scholar

Hilsenroth, M. J., & Cromer, T. D. (2007). Clinician interventions related to alliance during the initial interview and psychological assessment. Psychotherapy: Theory, Research, and Practice, 44(2), 205–218.Google Scholar

Hilsenroth, M. J., Peters, E. J., & Ackerman, S. J. (2004). The development of therapeutic alliance during psychological assessment: Patient and therapist perspectives across treatment. Journal of Personality Assessment, 83, 332–344.Google Scholar

Kamphuis, J. H., & Finn, S.E. (2018). Therapeutic Assessment in personality disorders: Toward the restoration of epistemic trust. Journal of Personality Assessment, doi.org.du.idm.oclc.org/10.1080/00223891.2018.1476360 Google Scholar

Kohut, H. (1984). How does analysis cure? Chicago: University of Chicago Press.Google Scholar

Martin, H. (2018). Collaborative Therapeutic Assessment and diversity: The complexity of being human. In Krishnamurthy, R. & Smith, S. (Eds.), Diversity sensitive psychological assessment book. Cambridge University Press.Google Scholar

Martin, E. H., & Jacklin, E. (2012). Therapeutic Assessment involving multiple life issues: Coming to terms with problems of health, culture, and learning. In Finn, S. E., Fischer, C. T., & Handler, L. (Eds.), Collaborative/Therapeutic Assessment: A casebook and guide (pp. 157–177). Hoboken, NJ: Wiley.Google Scholar

Martin, R., & Young, J. (2010). Schema therapy. In Dobson, K.S. (Ed.), Handbook of cognitive-behavioral therapies (3rd ed.). New York: Guilford Press.Google Scholar

Miller, L. R., Cano, A., & Wurm, L. H. (2013). A motivational therapeutic assessment improves pain, mood, and relationship satisfaction in couples with chronic pain. The Journal of Pain, 14(5), 525–537.Google Scholar

Morey, L. C., Lowmaster, S. E., & Hopwood, C. J. (2010). A pilot study of Manual Assisted Cognitive Therapy with a Therapeutic Assessment augmentation for Borderline Personality Disorder. Psychiatry Research, 178, 531–535.Google Scholar

Murray, H. A. (1943). Thematic Apperception Test manual. Cambridge, MA: Harvard University Press.Google Scholar

Newman, M. L., & Greenway, P. (1997). Therapeutic effects of providing MMPI-2 test feedback to clients in a university counseling service: A collaborative approach. Psychological Assessment, 9, 122–131.Google Scholar

Ougrin, D., Ng, A. V., & Low, J. (2008). Therapeutic assessment based on cognitive-analytic therapy for young people presenting with self-harm: Pilot study. Psychiatric Bulletin, 32, 423–426.Google Scholar

Pagano, C. J., Blattner, M. C. C., & Kaplan-Levy, S. (2018). Therapeutic Assessment with child inpatients. Journal of Personality Assessment. https://doi.org/10.1080/00223891.2018.1447945 CrossRef Google Scholar

Poston, J. M., & Hanson, W. M. (2010). Meta-analysis of psychological assessment as a therapeutic intervention. Psychological Assessment, 22, 203–212.Google Scholar

Schore, A. (2009). Right brain affect regulation: An essential mechanism of development, trauma, dissociation, and psychotherapy. In Fosha, D., Solomon, M., & Siegel, D. (Eds.), The healing power of emotions: Integrating relationships, body, and mine. A dialogue among scientists and clinicians (pp. 112–144). New York: Norton.Google Scholar

Smith, J. D., Eichler, W. C., Norman, K. R., & Smith, S. R. (2014). The effectiveness of Collaborative/Therapeutic Assessment for psychotherapy consultation: A pragmatic replicated single case study. Journal of Personality Assessment, 97(3), 261–270.Google Scholar

Smith, J. D., & George, C. (2012). Therapeutic Assessment case study: Treatment of a woman diagnosed with metastatic breast cancer and attachment trauma. Journal of Personality Assessment, 94(4), 331–344.Google Scholar

Smith, J. D., Handler, L., & Nash, M. R. (2010). Family Therapeutic Assessment for preadolescent boys with oppositional defiant disorder: A replicated single-case time-series design. Psychological Assessment, 22, 593–602.CrossRef Google Scholar PubMed

Sperber, D., Clément, F., Heitz, C., Mascaro, O., Mercier, H., Origgi, G., & Wilson, D. (2010). Epistemic vigilance. Mind and Language, 25(4), 359–393.CrossRef Google Scholar

Swann, W. B., Jr. (1997). The trouble with change: Self-verification and allegiance to the self. Psychological Science, 8, 177–180.CrossRef Google Scholar

Tarocchi, A., Aschieri, F., Fantini, F., & Smith, J. D. (2013). Therapeutic Assessment of complex trauma: A single-case time-series study. Clinical Case Studies, 12(3), 228–245.Google Scholar

Tekeste, M. (2013). Therapeutic assessment with forensic populations. Dissertation, University of Denver.Google Scholar

Tharinger, D. J., Finn, S. E., Austin, C., Gentry, L, Bailey, E., Parton, V., & Fisher, M. (2008). Family sessions in psychological assessment with children: Goals, techniques, and clinical utility. Journal of Personality Assessment, 90, 547–558.Google Scholar

Tharinger, D. J., Finn, S. E., Gentry, L., Hamilton, A., Fowler, J., Matson, M., Krumholz, L., & Walkowiak, J. (2009). Therapeutic Assessment with children: A pilot study of treatment acceptability and outcome. Journal of Personality Assessment, 91, 238–244.Google Scholar

Tharinger, D. J., Gentry, L., & Finn, S. E. (2013). Therapeutic Assessment with adolescents and their parents: A comprehensive model. In Saklofske, D., Reynolds, C. R., & Schwean, V. L. (Eds.), Oxford handbook of psychological assessment of children and adolescents (pp. 385–422). New York: Oxford University Press.Google Scholar

Tronick, E. Z. (2007). The neurobehavioral and social-emotional development of infants and children. New York: W.W. Norton & Co.Google Scholar

Wilson, T. D. (2011). Redirect: The surprising new science of psychological change. New York: Little, Brown and Company.Google Scholar

References

American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (5th ed.). Washington, DC: American Psychiatric Association.Google Scholar

APA (American Psychological Association). (2006). Evidence-based practice in psychology. American Psychologist, 61, 271–285.Google Scholar

APA (American Psychological Association). (2017a). Ethical Principles of Psychologists and Code of Conduct. www.apa.org/ethics/code/index.aspx Google Scholar

APA (American Psychological Association). (2017b). APA Guidelines on Multicultural Education, Training, Research, Practice and Organizational Change for Psychologists. www.apa.org/pi/oema/resources/policy/multicultural-guidelines.aspx Google Scholar

Bagby, R. M., Gralnick, T. M., Al‐Dajani, N., & Uliaszek, A. A. (2016). The role of the Five Factor Model in personality assessment and treatment planning. Clinical Psychology: Science and Practice, 23, 365–381. http://doi.org/10.1111/cpsp.12175 Google Scholar

Beck, A. T., Steer, R. A., & Brown, G. K. (1996). Manual for the Beck Depression Inventory-II. San Antonio, TX: Psychological Corporation.Google Scholar

Ben-Porath, Y. S., & Tellegen, A. (2008/2011). MMPI–2–RF (Minnesota Multiphasic Personality Inventory–2 Restructured Form) manual for administration, scoring, and interpretation. Minneapolis: University of Minnesota Press.Google Scholar

Bornstein, R. F. (2017). Evidence-based psychological assessment. Journal of Personality Assessment, 99, 435–445. https://doi.org/10.1080/00223891.2016.1236343.Google Scholar

Briere, J. (2011). Trauma Symptom Inventory–2 (TSI–2). Odessa, FL: Psychological Assessment Resources.Google Scholar

First, M. B., Williams, J. B. W., Karg, R. S., Spitzer, R. L. (2015). Structured Clinical Interview for DSM-5 Disorders, clinician version (SCID-5-CV). Arlington, VA: American Psychiatric Association.Google Scholar

Forbey, J. D., & Lee, T. T. C. (2011). An exploration of the impact of invalid MMPI-2 protocols on collateral self-report measure scores. Journal of Personality Assessment, 93, 556–565.Google Scholar

Groth-Marnat, G., & Horvath, L. S. (2006). The psychological report: A review of current controversies. Journal of Clinical Psychology, 62, 73–81. http://doi.org/10.1002/jclp.20201 Google Scholar

Heilbrun, K. (2001). Principles of forensic mental health assessment. New York: Kluwer Academic/Plenum.Google Scholar

Heilbrun, K., DeMatteo, D., & Marczyk, G. (2004). Pragmatic psychology, forensic mental health assessment, and the case of Thomas Johnson: Applying principles to promote quality. Psychology, Public Policy, and Law, 10, 31–70. http://doi.org/10.1037/1076–8971.10.1–2.31 CrossRef Google Scholar

Heilbrun, K., Grisso, T., & Goldstein, A. M. (2009). Foundations of forensic mental health assessment. New York: Oxford University Press.Google Scholar

Kocsis, R. N. (2011). The structured interview of reported symptoms 2nd edition (SIRS-2): The new benchmark towards the assessment of malingering. Journal of Forensic Psychology Practice, 11, 73–81. https://doi.org/10.1080/15228932.2011.521726.Google Scholar

Lezak, M. D., Howieson, D. B., Bigler, E. D., & Tranel, D. (2012). Neuropsychological Assessment (5th ed.). New York: Oxford University Press.Google Scholar

Lichtenberger, E. O., Mather, N., Kaufman, N. L., & Kaufman, A. S. (2004). Essentials of assessment report writing. Hoboken, NJ: John Wiley & Sons.Google Scholar

McCrae, R. R., Costa, P. T. T. Jr., & Martin, T. A. (2005). The NEO–PI–3: A more readable revised NEO personality inventory. Journal of Personality Assessment, 84(3), 261–270. http://doi.org/10.1207/s15327752jpa8403_05 Google Scholar

Meyer, G. J., Finn, S. E., Eyde, L. D., Kay, G. G., Moreland, K. L., Dies, R. R. et al. (2001). Psychological testing and psychological assessment. A review of evidence and issues. American Psychologist, 56, 128–165. http://dx.doi.org/10.1037/0003-066X.56.2.128 Google Scholar

Michaels, M. H. (2006). Ethical considerations in writing psychological assessment reports. Journal of Clinical Psychology, 62, 47–58. http://doi.org/10.1002/jclp.20199.Google Scholar

Miller, H. A. (2001). Miller-Forensic Assessment of Symptoms Test (M-FAST): Professional manual. Odessa, FL: Psychological Assessment Resources.Google Scholar

Miller, P. R., Dasher, R., Collins, R., Griffiths, P., & Brown, F. (2001). Inpatient diagnostic assessments: 1. Accuracy of structured vs. unstructured interviews. Psychiatry Research, 105(3), 255–264.Google Scholar

Morey, L. C. (1991). Personality Assessment Inventory: Professional manual. Odessa, FL: Psychological Assessment Resources. http://doi.org/10.1002/9781118625392.wbecp284 Google Scholar

Narrow, W., Clarke, D., & Kuramoto, J. (2013). DSM-5 field trials in the United States and Canada, part III: Development and reliability testing of a cross-cutting symptom assessment for DSM-5. American Journal of Psychiatry, 170, 71–82. http://doi.org/10.1176/appi.ajp.2012.12071000 Google Scholar

Neukrug, S. E., & Fawcett, C. R. (2010). The assessment report process: Interviewing the client and writing the report. In Neukrug, E. S. & Fawcett, R. C. (Eds.), Essentials of testing and assessment: A practical guide for counselors, social workers, and psychologists (3rd ed., pp. 59–80). Belmont, CA: Brooks/Cole.Google Scholar

Novotney, A. (2010). Postgrad growth area: Assessment psychology. American Psychological Association’s gradPSYCH magazine. www.apa.org/gradpsych/2010/03/postgrad.aspx Google Scholar

Novotney, A. (2017). Helping courts and juries make educated decisions. American Psychological Association’s Monitor on Psychology, 48(8). www.apa.org/monitor/2017/09/courts-decisions.aspx Google Scholar

Persons, J. B., & Tompkins, M. A. (2007). Cognitive-behavioral case formulation. In Eells, T. D. (Ed.), Handbook of psychotherapy case formulation (pp. 290–316). New York: Guilford Press.Google Scholar

Resnick, P. J., & Soliman, S. (2012). Planning, writing, and editing forensic psychiatric reports. International Journal of Law and Psychiatry, 35(5–6), 412–417. http://doi.org/10.1016/j.ijlp.2012.09.019 Google Scholar

Sellbom, M., & Bagby, R. M. (2008). Response styles on multiscale inventories. In Rogers, R. (Ed.), Clinical assessment of malingering and deception (3rd ed., pp. 182–206). New York: Guilford Press.Google Scholar

Sheehan, D. V., Lecrubier, Y., Sheehan, K. H., Amorim, P., Janavs, J., Weiller, E. et al. (1998). The Mini-International Neuropsychiatric Interview (MINI): the development and validation of a structured diagnostic psychiatric interview for DSM-IV and ICD-10. Journal of Clinical Psychiatry, 59, 22–33.Google Scholar

Tallent, N. (1993). Psychological report writing (4th ed.). Englewood Cliffs, NJ: Prentice Hall.Google Scholar

Tombaugh, T. N. (1996). Test of Memory Malingering (TOMM). Toronto: Multi-Health Systems.Google Scholar

Weathers, F. W., Blake, D. D., Schnurr, P. P., Kaloupek, D. G., Marx, B. P., & Keane, T. M. (2013). The Clinician-Administered PTSD Scale for DSM-5 (CAPS-5). National Center for PTSD (Full interview). www.ptsd.va.gov/professional/assessment/adult-int/caps.asp Google Scholar

World Health Organization. (2018). International statistical classification of diseases and related health problems (11th revision). https://icd.who.int/browse11/l-m/en Google Scholar

Wright, C. V., Beattie, S. G., Galper, D. I., Church, A. S., Bufka, L. F., Brabender, V. M., & Smith, B. L. (2017). Assessment practices of professional psychologists: Results of a national survey. Professional Psychology: Research and Practice, 48(2), 73–78. http://dx.doi.org/10.1037/pro0000086 Google Scholar

Young, G. (2016). Psychiatric/psychological forensic report writing. International Journal of Law and Psychiatry, 49, 214–220. http://doi.org/10.1016/j.ijlp.2016.10.008 Google Scholar

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Part I - General Issues in Clinical Assessment and Diagnosis

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