A general approach to representing multifaceted personality constructs: Application to state self‐esteem

This article proposes a framework for representing personality constructs at four levels of abstraction. The total aggregation model is the composite formed by the sum of scores on all items in a scale. The partial aggregation model treats separate dimensions of a personality construct as indicators of a single latent variable, with each dimension being an aggregation of items. The partial disaggregation model represents each dimension as a separate latent variable, either freely correlated with the other dimensions or loading on one or more than one higher order factor; the measures of the dimensions are multiple indicators formed as aggregates of subsets of items. The total disaggregation model also represents each dimension as a separate latent variable but, unlike the partial disaggregation model, uses each item in the scale as an indicator of its respective factor. Illustrations of the models are provided on the State Self‐Esteem Scale—including tests of psychometric properties, invariance, and gener...

[1]  D. Campbell,et al.  Convergent and discriminant validation by the multitrait-multimethod matrix. , 1959, Psychological bulletin.

[2]  M. Rosenberg.  Society and the adolescent self-image , 1966 .

[3]  V. Gecas,et al.  Parental behavior and dimensions of adolescent self-evaluation. , 1971, Sociometry.

[4]  M. Snyder.  Self-monitoring of expressive behavior. , 1974 .

[5]  M. Snyder.  Self-monitoring processes , 1979 .

[6]  T. Cook,et al.  Quasi-experimentation: Design & analysis issues for field settings , 1979 .

[7]  M. Rosenberg.  Conceiving the self , 1979 .

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

[9]  Arnold H. Buss,et al.  An analysis of the Self-Monitoring Scale. , 1980 .

[10]  Robert M. Arkin,et al.  Self-Monitoring Scale , 1980 .

[11]  C. Fornell,et al.  Evaluating structural equation models with unobservable variables and measurement error. , 1981 .

[12]  Richard J. Shavelson,et al.  Self-Concept: The Interplay of Theory and Methods. , 1982 .

[13]  J. Fleming,et al.  The dimensionality of self-esteem. II: Hierarchical facet model for revised measurement scales , 1984 .

[14]  R. Lennox,et al.  Revision of the self-monitoring scale. , 1984, Journal of personality and social psychology.

[15]  H. Marsh,et al.  Self–other agreement on multidimensional self-concept ratings: Factor analysis and multitrait–multimethod analysis. , 1985 .

[16]  H. Marsh,et al.  Application of confirmatory factor analysis to the study of self-concept: First- and higher order factor models and their invariance across groups. , 1985 .

[17]  Scott E. Maxwell,et al.  Multitrait-Multimethod Comparisons Across Populations: A Confirmatory Factor Analytic Approach. , 1985, Multivariate behavioral research.

[18]  Richard J. Shavelson,et al.  Self-Concept: Its Multifaceted, Hierarchical Structure , 1985 .

[19]  S. Gangestad,et al.  On the nature of self-monitoring: matters of assessment, matters of validity. , 1986, Journal of personality and social psychology.

[20]  S. Briggs,et al.  The role of factor analysis in the development and evaluation of personality scales , 1986 .

[21]  Barbara M. Byrne,et al.  Adolescent Self-Concept: Testing the Assumption of Equivalent Structure Across Gender , 1987 .

[22]  H. Marsh,et al.  A new, more powerful approach to multitrait-multimethod analyses: Application of second-order confirmatory factor analysis. , 1988 .

[23]  Richard Lennox,et al.  The problem with self-monitoring: a two-sided scale and a one-sided theory , 1988 .

[24]  S. Briggs,et al.  On the nature of self-monitoring: Problems with assessment, problems with validity. , 1988 .

[25]  Barbara M. Byrne,et al.  A Multifaceted Academic Self-Concept: Its Hierarchical Structure and Its Relation to Academic Achievement. , 1988 .

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

[27]  Peter M. Bentler,et al.  EQS : structural equations program manual , 1989 .

[28]  Robert Cudeck,et al.  Analysis of correlation matrices using covariance structure models. , 1989 .

[29]  H. Marsh.  Confirmatory Factor Analyses of Multitrait-Multimethod Data: Many Problems and a Few Solutions , 1989 .

[30]  Mark L. Miller,et al.  On the existence of discrete classes in personality: Is self-monitoring the correct joint to carve? , 1989 .

[31]  C. Carver,et al.  PERSONALITY PROCESSES AND INDIVIDUAL DIFFERENCES How Should Multifaceted Personality Constructs Be Tested ? Issues Illustrated by Self-Monitoring , Attributional Style , and Hardiness , 2004 .

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

[33]  R. P. McDonald,et al.  Choosing a multivariate model: Noncentrality and goodness of fit. , 1990 .

[34]  Shelly Chaiken,et al.  Gender Differences in Concern with Body Weight and Physical Appearance Over the Life Span , 1990 .

[35]  J. Hull,et al.  A general approach to testing multifaceted personality constructs. , 1991, Journal of personality and social psychology.

[36]  J. Tomaka,et al.  Measures of self-esteem. , 1991 .

[37]  T. Heatherton,et al.  Development and validation of a scale for measuring state self-esteem. , 1991 .

[38]  R. Lennox,et al.  Latent Structure of Self-Monitoring. , 1991, Multivariate behavioral research.