Testing Configural, Metric, Scalar, and Latent Mean Invariance Across Genders in Sociotropy and Autonomy Using a Non-Western Sample

The Personal Style Inventory (PSI) was developed to assess individuals’ levels of sociotropy and autonomy, two personality characteristics considered to be associated with increased vulnerability to depression. This study used the approach of latent means analysis (LMA) within the framework of structural equation modeling (SEM) to explore the factor structure and gender differences associated with the PSI in a sample of Korean undergraduates (N = 508). Results of the confirmatory factor analysis are consistent with previous work and support the cross-cultural stability of the PSI factor structure. However, in contrast to previous research, results of the LMA showed women to have higher scores than men on sociotropy and autonomy dimensions, raising the possibility of cross-cultural differences in the interaction between these personality styles and vulnerability to depression.

[1]  Jacob Cohen Statistical Power Analysis for the Behavioral Sciences , 1969, The SAGE Encyclopedia of Research Design.

[2]  K. Mardia Measures of multivariate skewness and kurtosis with applications , 1970 .

[3]  S. Blatt Levels of object representation in anaclitic and introjective depression. , 1974, The Psychoanalytic study of the child.

[4]  P. Krishnaiah,et al.  On Covariance Structures. , 1975 .

[5]  S. Blatt,et al.  Experiences of depression in normal young adults. , 1976, Journal of abnormal psychology.

[6]  J. Bowlby,et al.  The Making and Breaking of Affectional Bonds , 1977, British Journal of Psychiatry.

[7]  S. Blatt,et al.  Sex roles and gender differences in the experience of depression. , 1978, Journal of abnormal psychology.

[8]  A. Beck,et al.  Development and Validation of the Dysfunctional Attitude Scale: A Preliminary Investigation. , 1978 .

[9]  P. Bentler,et al.  Significance Tests and Goodness of Fit in the Analysis of Covariance Structures , 1980 .

[10]  S Arieti,et al.  The psychological organization of depression. , 1980, The American journal of psychiatry.

[11]  J. H. Steiger Statistically based tests for the number of common factors , 1980 .

[12]  S. Blatt,et al.  Two primary configurations of psychopathology. , 1983 .

[13]  P. Clayton,et al.  Treatment of depression : old controversies and new approaches , 1983, Psychological Medicine.

[14]  J. Welkowitz,et al.  The Depressive Experiences Questionnaire: revision and validation. , 1985, Journal of personality assessment.

[15]  S. Nolen-Hoeksema,et al.  Sex Differences in Unipolar Depression: Evidence and Theory Background on the Affective Disorders , 1987 .

[16]  James C. Anderson,et al.  STRUCTURAL EQUATION MODELING IN PRACTICE: A REVIEW AND RECOMMENDED TWO-STEP APPROACH , 1988 .

[17]  Kenneth A. Bollen,et al.  Structural Equations with Latent Variables , 1989 .

[18]  B. Byrne,et al.  Testing for the equivalence of factor covariance and mean structures: The issue of partial measurement invariance. , 1989 .

[19]  P. Bentler,et al.  Comparative fit indexes in structural models. , 1990, Psychological bulletin.

[20]  Herbert W. Marsh,et al.  Public/Catholic Differences in the High School and Beyond Data: A Multigroup Structural Equation Modeling Approach to Testing Mean Differences , 1990 .

[21]  M. T. Nietzel,et al.  Relationship of dependency and achievement/autonomy to depression , 1990 .

[22]  H. Markus,et al.  Culture and the self: Implications for cognition, emotion, and motivation. , 1991 .

[23]  A. Beck,et al.  Personality factors in dysphoria: A psychometric refinement of beck's Sociotropy-Autonomy Scale , 1991 .

[24]  P. Blaney,et al.  Measures of depressive dimensions: are they interchangeable? , 1991, Journal of personality assessment.

[25]  Romin W. Tafarodi,et al.  Gender and self-esteem. , 1992, Journal of personality and social psychology.

[26]  Sidney J. Blatt,et al.  Interpersonal relatedness and self-definition: Two prototypes for depression , 1992 .

[27]  W. Meredith Measurement invariance, factor analysis and factorial invariance , 1993 .

[28]  Scott E. Maxwell,et al.  Multivariate group comparisons of variable systems: MANOVA and structural equation modeling. , 1993 .

[29]  Joan Welkowitz,et al.  The personal style inventory: Preliminary validation studies of new measures of sociotropy and autonomy , 1994 .

[30]  Structural equation analyses of clinical subpopulation differences and comparative treatment outcomes: characterizing the daily lives of drug addicts. , 1994, Journal of consulting and clinical psychology.

[31]  H. Marsh Confirmatory factor analysis models of factorial invariance: A multifaceted approach , 1994 .

[32]  R. Bagby,et al.  Reconstruction and Validation of the Depressive Experiences Questionnaire , 1994, Assessment.

[33]  D. Zuroff Depressive personality styles and the five-factor model of personality. , 1994, Journal of personality assessment.

[34]  B. Byrne Book Review: Structural Equation Modeling with EQS and EQS/Windows: Basic Concepts, Applications, and Programming , 1994 .

[35]  T. Singelis,et al.  The Measurement of Independent and Interdependent Self-Construals , 1994 .

[36]  D. Zuroff,et al.  Depressive personality styles: Implications for adult attachment , 1995 .

[37]  D. Clark,et al.  Daily hassles, major and minor life events, and their interaction with sociotropy and autonomy. , 1995, Behaviour research and therapy.

[38]  T. Trull,et al.  Personality, life events, and depression. , 1995, Journal of personality assessment.

[39]  J. Coyne,et al.  Issues in personality as diathesis for depression: the case of sociotropy-dependency and autonomy-self-criticism. , 1995, Psychological bulletin.

[40]  C. Robins Personality–event interaction models of depression , 1995 .

[41]  Stephen G. West,et al.  Structural equation models with non-normal variables: Problems and remedies , 1995 .

[42]  P. Hewitt,et al.  Perfectionism, life events, and depressive symptoms: A test of a diathesis-stress model , 1995 .

[43]  S. West,et al.  The robustness of test statistics to nonnormality and specification error in confirmatory factor analysis. , 1996 .

[44]  The relations between sociotropy and autonomy, positive and negative affect and two proposed depression subtypes. , 1996, The British journal of clinical psychology.

[45]  P. Hewitt,et al.  Personality, negative social interactions, and depressive symptoms. , 1997 .

[46]  R. Hoyle Structural equation modeling: concepts, issues, and applications , 1997 .

[47]  Toru Sato,et al.  Vulnerability factors in depression: The facets of sociotropy and autonomy , 1997 .

[48]  Gregory R. Hancock,et al.  Structural equation modeling methods of hypothesis testing of latent variable means. , 1997 .

[49]  J. Steenkamp,et al.  Assessing Measurement Invariance in Cross-National Consumer Research , 1998 .

[50]  Toru Sato,et al.  Individual differences in relatedness and individuality: An exploration of two constructs , 1998 .

[51]  D. Schuller,et al.  Confirmatory Factor Analysis of the Revised Personal Style Inventory (PSI) , 1998, Assessment.

[52]  M. Cho,et al.  Prevalence of symptoms of depression in a nationwide sample of Korean adults , 1998, Psychiatry Research.

[53]  N. Decourville,et al.  Weight preoccupation, personality, and depression in university students: an interactionist perspective. , 1999, Journal of clinical psychology.

[54]  P. Bentler,et al.  Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives , 1999 .

[55]  Sehee Hong,et al.  Hierarchical Confirmatory Factor Analysis of the Revised Personal Style Inventory: Evidence for the Multidimensionality Problem of Perfectionism , 2001 .

[56]  S. Kennedy,et al.  Sociotropy, Autonomy, and Patterns of Symptoms in Patients with Major Depression: A Comparison of Dimensional and Categorical Approaches , 1997, Cognitive Therapy and Research.

[57]  A. Beck,et al.  Personality Vulnerability, Psychiatric Diagnoses, and Symptoms: Cluster Analyses of the Sociotropy-Autonomy Subscales , 1997, Cognitive Therapy and Research.