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Psychometric properties of the Italian version of the SCL-90-R: A study on a large community sample

Published online by Cambridge University Press:  21 February 2011

Antonio Prunas*
Affiliation:
Department of Psychology, Milan-Bicocca State University, Milano, Italy
Irene Sarno
Affiliation:
Department of Psychology, Milan-Bicocca State University, Milano, Italy
Emanuele Preti
Affiliation:
Department of Psychology, Milan-Bicocca State University, Milano, Italy
Fabio Madeddu
Affiliation:
Department of Psychology, Milan-Bicocca State University, Milano, Italy
Marco Perugini
Affiliation:
Department of Psychology, Milan-Bicocca State University, Milano, Italy
*
*E-mail address:[email protected].
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Abstract

We present the factor structure and psychometric properties of the Italian version of the SCL-90-R based on a large sample of the Italian population. The sample (N = 3631) included high-school and university students and adults from the community (age range=13–70 yrs; 39.2% males). Principal component analysis (PCA) supported by parallel analysis, yielded eight components, partially overlapping those in the original version; no evidence of Psychoticism and Paranoid Ideation as separate subscales emerged. Twenty-one items were consecutively deleted, leading to a 69-item version of the scale. Internal coherence was good for all subscales (α values between 0.70 and 0.96). However, the eight-factor solution did not prove consistent when analyses were replicated after dividing the sample in subgroups according to gender and age. A second-order PCA yielded a single factor, supporting the adoption of the GSI as an index of general distress. A 69-item brief version of the scale has been empirically derived in this study, and can possibly be adopted as a screening measure for general distress in Italian adults and adolescents; however, caution should be exercised when interpreting the clinical profile due to the instability of factor structure.

Type
Original articles
Copyright
Copyright © European Psychiatric Association 2012

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Footnotes

1

Antonio Prunas, Irene Sarno, Emanuele Preti contributed equally to study design, data gathering and analysis and writing of the manuscript.

2

Given the proximity of 95th percentile of the first eigenvalue of the randomly generated data with the eigenvalue of the ninth factor, the nine-factor solution was also inspected. Scale validity coefficients [8] for the nine a priori subscales of SCL-90-R were correlated with factor scores from the nine-factor PCA. The nine empirical factors did not show any evidence in support of the expected correlation pattern with theoretically derived SCL-90-R subscales.

3

Six of deleted items are originally from PSY, three from SOM, ANX and OTHER, two from DEP and PHOB.

References

Arrindell WA, Ettema JHM. SCL-90; Handleiding bij een multidimensionele psychopathologie-indicator. Lisse, NL: Swets Test Publishers; 2003.Google Scholar
Arrindell, W.A., Barelds, D.P.H., Janssen, I.C.M., Buwalda, F.M., van der Ende, J.Invariance of SCL-90-R dimensions of symptom distress in patients with peri partum pelvic pain (PPPP) syndrome. Br J Clin Psychol. 2006; 45: 377391.CrossRefGoogle ScholarPubMed
Bonynge, E.R.Unidimensionality of SCL-90-R scales in adult and adolescent crisis samples. J Clin Psychol. 1993; 49: 212215.3.0.CO;2-V>CrossRefGoogle ScholarPubMed
Briggs, S.R., Cheek, J.M.The role of factor analysis in the development and evaluation of personality scales. J Pers. 1986; 54: 106148.CrossRefGoogle Scholar
Brophy, C.J., Norvell, N.K., Kiluk, D.J.An examination of the factor structure and convergent validity of the SCL-90-R in an outpatient clinic population. J Pers Assess. 1988; 52 2: 334340.CrossRefGoogle Scholar
Carpenter, K.M., Hittner, J.B.Dimensional characteristics of the SCL-90-R: evaluation of gender differences in dually diagnosed inpatients. J Clin Psychol. 1995; 51: 383390.3.0.CO;2-Q>CrossRefGoogle ScholarPubMed
Cattell, R.B.The scree test for the number of factors. Multivariate Behav Res. 1966; 1: 245276.CrossRefGoogle ScholarPubMed
Cattell, R.B., Tsujioka, B.The importance of factor-trueness and validity, versus homogeneity and orthogonality, in test scales. Educ Psychol Meas. 1964; 24: 330.CrossRefGoogle Scholar
Cyr, J.J., McKenna-Foley, J.M., Peacock, E.Factor structure of the SCL-90-R: is there one?. J Pers Assess. 1985; 49 6: 571578.CrossRefGoogle Scholar
Cyr, J.J., Doxey, N.C., Vigna, C.M.Factorial composition of the SCL-90-R. J Soc Behav Pers. 1988; 3: 245252.Google Scholar
Derogatis, L.R.Symptom Checklist-90-R: administration, scoring and procedures manual. 3rd ed.Minneapolis: National Computer Systems; 1994.Google Scholar
Derogatis, L.R., Cleary, P.A.Confirmation of the dimensional structure of the SCL-90: a study in construct validation. J Clin Psychol. 1977; 33 4: 981989.3.0.CO;2-0>CrossRefGoogle Scholar
Derogatis, L.R., Savitz, K.L.The SCL-90-R and Brief Symptom Inventory (BSI) in primary care.Maurish, M.Handbook of psychological assessment in primary care settings. 2000 Lawrence Erlbaum Associates Mahwah297334.Google Scholar
Derogatis, L.R., Lipman, R.S., Rickels, K.The Hopkins Symptom Checklist (HSCL): a measure of primary symptom dimensions.Pichot, .Psychological measurements in psychopharmacology. 1974 Karger Basel79110.Google Scholar
Derogatis, L.R., Lipman, R.S., Rickels, K., Uhlenhuth, E.H., Covi, L.The Hopkins Symptom Checklist (HSCL): a self-report symptom inventory. Behav Sci. 1974; 19: 115.CrossRefGoogle ScholarPubMed
Everett, J.E.Factor comparability as a means of determining the number of factors and their rotation. Multivar Behav Res. 1983; 18: 197218.CrossRefGoogle ScholarPubMed
Fabrigar, L.R., Wegener, D.T., MacCallum, R.C., Strahan, E.J.Evaluating the use of exploratory factor analysis in psychological research. Psychol Methods. 1999; 4: 272299.CrossRefGoogle Scholar
Glorfeld, L.W.An improvement on Horn's parallel analysis methodology for selecting the correct number of factors to retain. Educ Psychol Meas. 1995; 55 3: 377393.CrossRefGoogle Scholar
Hayton, J.C., Allen, D.G., Scarpello, V.Factor retention decisions in exploratory factor analysis: a tutorial on parallel analysis. Organiz Res Methods. 2004; 7 2: 191205.CrossRefGoogle Scholar
Hessel, A., Schumacher, J., Geyer, M., Brahler, E.Symptom-Checklist SCL-90-R: validation and standardization based on a representative sample of the German population. Diagnostica. 2001; 47: 2739.CrossRefGoogle Scholar
Holcomb, W.R., Adams, N.A., Ponder, H.M.Factor structure of the Symptom Checklist-90 with acute psychiatric inpatients. J Consult Clin Psychol. 1983; 51: 535538.CrossRefGoogle ScholarPubMed
Holi, M.M., Sammallahti, P.R., Aalberg, V.A.A Finnish validation study of the SCL-90. Acta Psychiatr Scand. 1998; 97: 4246.CrossRefGoogle ScholarPubMed
Lambert, M.J., Hill, C.E.Assessing psychotherapy outcomes and processes.Bergin, A., Garfield, S.Handbook of psychotherapy and behavior change. 4th ed. 1994 John Wiley & Sons Oxford72113.Google Scholar
Miotto, P., Pollini, B., Restaneo, A., Favaretto, G., Sisti, D., Rocchi, M.B.L.et al.Symptoms of psychosis in anorexia and bulimia nervosa. Psychiatry Res. 2010; 175: 237243.CrossRefGoogle ScholarPubMed
Nichter, M.Idioms of distress revisited. Cult Med Psychiatry. 2010; 34 2: 401416.CrossRefGoogle ScholarPubMed
Nunnally, J.C.Psychometric Theory. 2nd Ed.New York: Mc Graw Hill; 1978.Google Scholar
O’Connor, B.P.SPSS and SAS programs for determining the number of components using parallel analysis and Velicer's MAP test. Behav Res Meth Instrum Comput. 2000; 32: 396402.CrossRefGoogle ScholarPubMed
Olsen, L.R., Mortensen, E.L., Bech, P.The SCL-90 and SCL-90-R versions validated by item response models in a Danish community sample. Acta Psychiatr Scand. 2004; 110: 225229.CrossRefGoogle Scholar
Rauter, U.K., Leonard, C.E.SCL-90-R factor structure in an acute, involuntary, adult psychiatric inpatient sample. J Clin Psychol. 1996; 52: 625629.3.0.CO;2-J>CrossRefGoogle Scholar
Rindskopf, D., Rose, T.Some theory and applications of confirmatory second-order factor analysis. Multivariate Behav Res. 1988; 23: 5167.CrossRefGoogle Scholar
Schmitz, N., Kruse, J., Heckrath, C., Alberti, L., Tress, W.Diagnosing mental disorders in primary care: the General Health Questionnaire (GHQ) and the Symptom Check List (SCL-90-R) as screening instruments. Soc Psychiatry Psychiatr Epidemiol. 1999; 34 7: 360366.CrossRefGoogle ScholarPubMed
Schmitz, N., Hartkamp, N., Kiuse, J., Franke, G.H., Reister, G., Tress, W.The Symptom Check-List-90-R (SCL-90-R): a German validation study in patients with panic disorders. Qual Life Res. 2000; 9: 185193.CrossRefGoogle Scholar
Schrier, A., de Wit, M., Rijmen, F., Tuinebreijer, W., Verhoeff, A., Kupka, R.et al.Similarity in depressive symptom profile in a population-based study of migrants in the Netherlands. Soc Psychiatry Psychiatr Epidemiol. 2010; 45 10: 941951.CrossRefGoogle Scholar
Schwarzwald, J., Weisenberg, M., Solomon, Z.Factor invariance of SCL-90-R: the case of Combat Stress Reaction. Psychol Assess. 1991; 3 3: 385390.CrossRefGoogle Scholar
Shutty, M.S., DeGood, D.E., Schwartz, D.P.Psychological dimensions of distress in chronic pain patients: a factor analytic study of symptom checklist-90 responses. J Consult Clin Psychol. 1986; 54: 836842.CrossRefGoogle ScholarPubMed
Steer, R.A., Clark, D.A., Ranieri, W.F.Symptom dimensions of the SCL-90-R: a test of the tripartite model of anxiety and depression. J Pers Assess. 1994; 62: 525536.CrossRefGoogle ScholarPubMed
Takeuchi, D.T., Kuo, H., Kim, K., Leaf, P.J.Psychiatric symptom dimensions among Asian Americans and native Hawaiians: an analysis of the symptom checklist. J Community Psychol. 1989; 17: 319329.3.0.CO;2-Q>CrossRefGoogle Scholar
Vassend, O., Skrondal, A.The problem of structural indeterminacy in multidimensional symptom report instruments. The case of SCL-90-R. Behav Res Ther. 1999; 37: 685701.CrossRefGoogle ScholarPubMed
Velicer, W.F., Eaton, C.A., Fava, J.L.Construct explication through factor or component analysis: a review and evaluation of alternative procedures for determining the number of factors or components.Goffin, R., Helmes, .Problems and solutions in human assessment: honoring Douglas N Jackson at seventy. 2000 Kluwer Academic Norwell, MA.Google Scholar
Wider, A.The Cornell Medical Index. New York: Psychological Corporation; 1948.Google Scholar
Zack, M., Toneatto, T., Streiner, D.L.The SCL-90-R factor structure in comorbid substance abusers. J Subst Abuse. 1998; 10: 85101.CrossRefGoogle Scholar
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