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g 2.0: Factor Analysis, Filed Findings, Facts, Fashionable Topics, and Future Steps

Published online by Cambridge University Press:  07 January 2015

Jeffrey M. Cucina ,
Ilene F. Gast  and
Chihwei Su
Jeffrey M. Cucina*
Affiliation:
U.S. Customs and Border Protection
Ilene F. Gast
Affiliation:
U.S. Customs and Border Protection
Chihwei Su
Affiliation:
U.S. Customs and Border Protection
*
E-mail: [email protected], Address: U.S. Customs and Border Protection, 1400 L Street, NW, 7th Floor, Washington, DC 20229-1145
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Type
Commentaries
Information
Industrial and Organizational Psychology , Volume 5 , Issue 2 , June 2012 , pp. 166 - 171
Copyright
Copyright © Society for Industrial and Organizational Psychology 2012 

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Footnotes

The authors would like to thank Mary Anne Nester for her valuable comments and suggestions on this article.

References

Carroll, J. B. (1993). Human cognitive abilities: A survey of factor-analytic studies. New York, NY: Cambridge University Press. Google Scholar
Carroll, J. B. (1995). Book review. Assessment of cognitive processes: The PASS theory of intelligence. Journal of Psychoeducational Assessment, 13, 397–409.Google Scholar
Cattell, R. B. (1971). Abilities: Their structure, growth, and action. Boston, MA: Houghton Mifflin. Google Scholar
Colberg, M. (1984). Towards a taxonomy of verbal tests based on logic. Educational and Psychological Measurement, 44, 113–120.Google Scholar
Colberg, M. (1985). Logic-based measurement of verbal reasoning: A key to increased validity and economy. Personnel Psychology, 38, 347–359.Google Scholar
Guilford, J. P. (1967). The nature of human intelligence. New York, NY: McGraw-Hill. Google Scholar
Hayes, T. L., McElreath, J. M., & Reilly, S. M. (2003). The criterion-related validity of logic-based measurement and reasoning tests in public sector merit-based selection systems. Report No. 03-01. Washington, DC: U.S. Department of Homeland Security. Google Scholar
Horn, J. L. (1998). A basis for research on age differences in cognitive abilities. In McArdle, J. J. & Woodcock, R. W. (Eds.), Human cognitive abilities in theory and practice (pp. 57–92). Mahwah, NJ: Erlbaum. Google Scholar
Hunter, J. E. (1980). Validity generalization for 12,000 jobs: An application of synthetic validity and validity generalization to the General Aptitude Test Battery (GATB). Washington, DC: U.S. Employment Service, U.S. Department of Labor. Google Scholar
Hunter, J. E., & Hunter, R. F. (1984). Validity and utility of alternative predictors of job performance. Psychological Bulletin, 96, 72–98.Google Scholar
Keith, T. Z., & Kranzler, J. H. (1999). The absence of structural fidelity precludes construct validity: Rejoinder to Naglieri on what the cognitive assessment system does and does not measure. School Psychology Review, 28, 303–321.Google Scholar
Keith, T. Z., Kranzler, J. H., & Flanagan, D. P. (2001). What does the Cognitive Assessment System (CAS) measure? Joint confirmatory factor analysis of the CAS and the Woodcock-Johnson Tests of Cognitive Ability (3rd ed.). School Psychology Review, 30, 89–119.Google Scholar
Keith, T. Z., & Reynolds, M. R. (2010). Cattell-Horn-Carroll abilities and cognitive tests: What we’ve learned from 20 years of research. Psychology in the Schools, 47, 635–650.Google Scholar
Kobrin, J. L., Patterson, B. F., Shaw, E. J., Mattern, K. D., & Barbuti, S. M. (2008). Validity of the SAT® for predicting first-year college grade point average. Report No. 2008-5. New York, NY: The College Board. Google Scholar
Kranzler, J. H., & Keith, T. Z. (1999). Independent confirmatory factor analysis of the Cognitive Assessment System (CAS): What does the CAS measure? School Psychology Review, 28, 117–144.Google Scholar
Kranzler, J. H., Keith, T. Z., & Flanagan, D. P. (2000). Independent examination of the factor structure of the Cognitive Assessment System (CAS): Further evidence challenging the construct validity of the CAS. Journal of Psychoeducational Assessment, 18, 143–159.Google Scholar
Kranzler, J. H., & Weng, L. J. (1995). Factor structure of the PASS cognitive tasks: A reexamination of Naglieri et al. (1991). Journal of School Psychology, 33, 143–157.Google Scholar
Kuncel, N. R., Hezlett, S. A., & Ones, D. S. (2004). Academic performance, career potential, creativity, and job performance: Can one construct predict them all? Journal of Personality and Social Psychology, 86, 148–161.Google Scholar
Lyons, T. J., Bayless, J. A., & Park, R. K. (2001). Relationship of cognitive, biographical, and personality measures with the training and job performance of detention enforcement officers in a federal government agency. Applied HRM Research, 6, 67–70.Google Scholar
McDaniel, M. A., Hartman, N. S., Whetzel, D. L., & Grubb, W. L. (2007). Situational judgment tests, response instructions, and validity: A meta-analysis. Personnel Psychology, 60, 63–91.Google Scholar
McGrew, K. S. (2005). The Cattell-Horn-Carroll theory of cognitive abilities: Past, present, and future. In Flanagan, D. P. & Harrison, P. L. (Eds.), Contemporary intellectual assessment: Theories, tests, and issues (2nd ed., pp. 136–181). New York, NY: Guilford. Google Scholar
Naglieri, J. A., & Das, J. P. (1997). Cognitive assessment system: Interpretive handbook. Itasca, IL: Riverside.Google Scholar
O’Boyle, E. H. Jr., & McDaniel, M. A. (2008). Criticisms of employment testing: A commentary. In Phelps, R. (Ed.), Correcting fallacies about educational and psychological testing. Washington, DC: American Psychological Association. Google Scholar
Pearlman, K., Schmidt, F. L., & Hunter, J. E. (1980). Validity generalization results for tests used to predict training success and job proficiency in clerical occupations. Journal of Applied Psychology, 65, 373–406.Google Scholar
Pollack, L., Simons, C., & Patel, R. (1999). Federal professional and administrative occupations: An application of the Multipurpose Occupational Systems Analysis Inventory–Closed-ended (MOSAIC) (PRDC-99-01). Washington, DC: U.S. Office of Personnel Management. Google Scholar
Ree, M. J., Carretta, T. R., & Teachout, M. S. (1994). Predicting job performance: Not much more than g. Journal of Applied Psychology, 79, 518–524.Google Scholar
Ree, M. J., & Earles, J. A. (1991). Predicting training success: Not much more than g. Personnel Psychology, 44, 321–332.Google Scholar
Robertson, I. T., & Downs, S. (1989). Work-sample tests of trainability: A meta-analysis. Journal of Applied Psychology, 74, 402–410.Google Scholar
Sackett, P. R., Borneman, M., & Connelly, B. S. (2008). High stakes testing in education and employment: Evaluating common criticisms regarding validity and fairness. American Psychologist, 63, 215–227.Google Scholar
Scherbaum, C. A., Goldstein, H. W., Yusko, K. P., Ryan, R., & Hanges, P. J. (2012). Intelligence 2.0: Reestablishing a research program on g in I–O psychology. Industrial and Organizational Psychology: Perspectives on Science and Practice, 5, 128–148.Google Scholar
Schmidt, F. L., & Hunter, J.E. (1998). The validity and utility of selection methods in personnel psychology: Practical and theoretical implications of 85 years of research findings. Psychological Bulletin, 124, 262–274.Google Scholar
Simpson, R. W., & Nester, M. A. (2000, June). The content domain of the reasoning construct as found in law enforcement job-content materials. Presentation at the International Personnel Management Association Assessment Council (IPMAAC) Conference, Washington, DC. Retrieved from www.ipacweb.org/conf/00/simpson.pdf.Google Scholar
Simpson, R. W., Nester, M. A., & Palmer, E. (2007, June). The validity of logic-based tests. Presentation at the International Personnel Management Association Assessment Council (IPMAAC) Conference, St. Louis, MO. Retrieved from http://www.ipacweb.org/conf/07/simpson3.pdf.Google Scholar
Spearman, C. (1904). “General intelligence,” objectively determined and measured. American Journal of Psychology, 15, 201–293.Google Scholar
Spearman, C. (1927). The abilities of man: Their nature and measurement. New York, NY: Macmillan. Google Scholar
Sternberg, R. J. (1985). Beyond IQ: A triarchic theory of human intelligence,. New York, NY: Cambridge University Press. Google Scholar
Whetzel, D. L., McCloy, R. A., Hooper, A., Russell, T. L., Waters, S. D., Campbell, W. J., & Ramos, R. A. (2011). Meta-analysis of clerical performance predictors: Still stable after all these years. International Journal of Selection and Assessment, 19, 41–50.Google Scholar
Wiesen, J. P. (2009). Possible reasons for the black-white mean score differences seen with many cognitive ability tests: Informal notes to file. Working draft manuscript. Retrieved from http://appliedpersonnelresearch.com/papers/adimpact.pdf.Google Scholar
Zickar, M. J., & Highhouse, S. (2001). Measuring prestige of journals in industrial-organizational psychology. The Industrial-Organizational Psychologist, 38, 29–36.Google Scholar