The Rosenberg Self-Esteem Scale: A Bifactor Answer to a Two-Factor Question?

Despite its long-standing and widespread use, disagreement remains regarding the structure of the Rosenberg Self-Esteem Scale (RSES). In particular, concern remains regarding the degree to which the scale assesses self-esteem as a unidimensional or multidimensional (positive and negative self-esteem) construct. Using a sample of 3,862 high school students in the United Kingdom, 4 models were tested: (a) a unidimensional model, (b) a correlated 2-factor model in which the 2 latent variables are represented by positive and negative self-esteem, (c) a hierarchical model, and (d) a bifactor model. The totality of results including item loadings, goodness-of-fit indexes, reliability estimates, and correlations with self-efficacy measures all supported the bifactor model, suggesting that the 2 hypothesized factors are better understood as “grouping” factors rather than as representative of latent constructs. Accordingly, this study supports the unidimensionality of the RSES and the scoring of all 10 items to produce a global self-esteem score.

[1]  Scott B. MacKenzie,et al.  Common method biases in behavioral research: a critical review of the literature and recommended remedies. , 2003, The Journal of applied psychology.

[2]  Question wording effects in the assessment of global self-esteem. , 2000 .

[3]  Peter Muris,et al.  A Brief Questionnaire for Measuring Self-Efficacy in Youths , 2001 .

[4]  Evan F. Risko,et al.  Correlates of the Rosenberg Self-Esteem Scale Method Effects , 2006 .

[5]  D. J. Lee.  Society and the Adolescent Self-Image , 1969 .

[6]  J. Rolland,et al.  Dimensionality of the Rosenberg Self-Esteem Scale and Its Relationships With the Three-and the Five-Factor Personality Models , 2007, Journal of personality assessment.

[7]  Chester A. Schriesheim,et al.  The Effect of Grouping or Randomizing Items on Leniency Response Bias , 1981 .

[8]  J. S. Tanaka.  "How Big Is Big Enough?": Sample Size and Goodness of Fit in Structural Equation Models with Latent Variables. , 1987 .

[9]  Andreas Ritter,et al.  Structural Equations With Latent Variables , 2016 .

[10]  Phil Wood.  Confirmatory Factor Analysis for Applied Research , 2008 .

[11]  Shannon M. Suldo,et al.  Evaluation of the Self-Efficacy Questionnaire for Children in Two Samples of American Adolescents , 2007 .

[12]  G. Peterson,et al.  Factor Structure of the Rosenberg Self-Esteem Scale , 2013 .

[13]  Tenko Raykov,et al.  Coefficient Alpha and Composite Reliability With Interrelated Nonhomogeneous Items , 1998 .

[14]  B. Zumbo,et al.  Further Support for Multidimensionality Within the Rosenberg Self-Esteem Scale , 2009 .

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

[16]  J. Vasconcelos-Raposo,et al.  Factorial Validity and Invariance of the Rosenberg Self-Esteem Scale Among Portuguese Youngsters , 2011, Social Indicators Research.

[17]  José M. Tomás,et al.  Rosenberg's Self-Esteem Scale: Two Factors or Method Effects. , 1999 .

[18]  Edward G. Carmines,et al.  Reliability and Validity Assessment , 1979 .

[19]  Steven P. Reise,et al.  The role of the bifactor model in resolving dimensionality issues in health outcomes measures , 2007, Quality of Life Research.

[20]  D. Boduszek,et al.  The factor structure and composite reliability of the Rosenberg Self-Esteem Scale among ex-prisoners , 2013 .

[21]  F. Lucidi,et al.  Method Effects: The Problem With Negatively Versus Positively Keyed Items , 2012, Journal of personality assessment.

[22]  S. Reise.  The Rediscovery of Bifactor Measurement Models , 2012 .

[23]  B. Muthén,et al.  Exploratory Structural Equation Modeling , 2009 .

[24]  H W Marsh,et al.  Positive and negative global self-esteem: a substantively meaningful distinction or artifactors? , 1996, Journal of personality and social psychology.

[25]  R. Bagozzi,et al.  On the evaluation of structural equation models , 1988 .

[26]  H. Akaike.  A new look at the statistical model identification , 1974 .

[27]  D. Boduszek,et al.  Dimensionality and construct validity of the Rosenberg self‐esteem scale within a sample of recidivistic prisoners , 2012 .

[28]  J. H. Steiger.  Structural Model Evaluation and Modification: An Interval Estimation Approach. , 1990, Multivariate behavioral research.

[29]  S. West,et al.  A Comparison of Bifactor and Second-Order Models of Quality of Life , 2006, Multivariate behavioral research.

[30]  B. Bunting,et al.  Confirmatory Factor Analysis of the Rosenberg Self-Esteem Scale , 1995 .

[31]  K. G. J8reskoC,et al.  Simultaneous Factor Analysis in Several Populations , 2007 .

[32]  R. Ang,et al.  Dimensionality of rosenberg’s self-esteem scale among normal-technical stream students in Singapore , 2006 .

[33]  Chester A. Schriesheim,et al.  Controlling Acquiescence Response Bias by Item Reversals: The Effect on Questionnaire Validity , 1981 .

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

[35]  K. Thomas,et al.  Consideration of future consequences scale: Confirmatory Factor Analysis , 2010 .

[36]  S. Reise,et al.  Bifactor Models and Rotations: Exploring the Extent to Which Multidimensional Data Yield Univocal Scale Scores , 2010, Journal of personality assessment.

[37]  R. Weech-Maldonado,et al.  Validly Interpreting Patients’ Reports: Using Bifactor and Multidimensional Models to Determine Whether Surveys and Scales Measure One or More Constructs , 2012, Medical care.

[38]  H. Marsh,et al.  Longitudinal tests of competing factor structures for the Rosenberg Self-Esteem Scale: traits, ephemeral artifacts, and stable response styles. , 2010, Psychological assessment.

[39]  Ulrich Trautwein,et al.  Please Scroll down for Article Structural Equation Modeling: a Multidisciplinary Journal Exploratory Structural Equation Modeling, Integrating Cfa and Efa: Application to Students' Evaluations of University Teaching , 2022 .

[40]  L. Tucker,et al.  A reliability coefficient for maximum likelihood factor analysis , 1973 .

[41]  Karl G. Jöreskog,et al.  Lisrel 8: Structural Equation Modeling With the Simplis Command Language , 1993 .

[42]  K. Holzinger,et al.  The Bi-factor method , 1937 .

[43]  Harry H. Harman,et al.  Comparison of two factorial analyses , 1938 .

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

[45]  Jeri Benson,et al.  THE IMPACT OF ITEM PHRASING ON THE VALIDITY OF ATTITUDE SCALES FOR ELEMENTARY SCHOOL CHILDREN , 1985 .

[46]  M. Hankins,et al.  The factor structure of the twelve item General Health Questionnaire (GHQ-12): the result of negative phrasing? , 2008, Clinical practice and epidemiology in mental health : CP & EMH.

[47]  Margit Wiesner,et al.  Exploratory structural equation modeling, bifactor models, and standard confirmatory factor analysis models: application to the BASC-2 Behavioral and Emotional Screening System Teacher Form. , 2013, Journal of school psychology.

[48]  S. Plunkett,et al.  Dimensionality and Validity of the Rosenberg Self-Esteem Scale for Use With Latino Adolescents , 2011 .

[49]  P. McCrystal,et al.  Confirmatory Factor Analysis of the Adolescent Self-Report Strengths and Difficulties Questionnaire , 2008 .