Literature DB >> 24061931

Global self-esteem and method effects: competing factor structures, longitudinal invariance, and response styles in adolescents.

Róbert Urbán1, Réka Szigeti, Gyöngyi Kökönyei, Zsolt Demetrovics.   

Abstract

The Rosenberg Self-Esteem Scale (RSES) is a widely used measure for assessing self-esteem, but its factor structure is debated. Our goals were to compare 10 alternative models for the RSES and to quantify and predict the method effects. This sample involves two waves (N =2,513 9th-grade and 2,370 10th-grade students) from five waves of a school-based longitudinal study. The RSES was administered in each wave. The global self-esteem factor with two latent method factors yielded the best fit to the data. The global factor explained a large amount of the common variance (61% and 46%); however, a relatively large proportion of the common variance was attributed to the negative method factor (34 % and 41%), and a small proportion of the common variance was explained by the positive method factor (5% and 13%). We conceptualized the method effect as a response style and found that being a girl and having a higher number of depressive symptoms were associated with both low self-esteem and negative response style, as measured by the negative method factor. Our study supported the one global self-esteem construct and quantified the method effects in adolescents.

Entities:  

Mesh:

Year:  2014        PMID: 24061931      PMCID: PMC3947716          DOI: 10.3758/s13428-013-0391-5

Source DB:  PubMed          Journal:  Behav Res Methods        ISSN: 1554-351X


  19 in total

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2.  A critique of the correlated trait-correlated method and correlated uniqueness models for multitrait-multimethod data.

Authors:  Charles E Lance; Carrie L Noble; Steven E Scullen
Journal:  Psychol Methods       Date:  2002-06

3.  Alpha, Dimension-Free, and Model-Based Internal Consistency Reliability.

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Review 4.  Relation of threatened egotism to violence and aggression: the dark side of high self-esteem.

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5.  The Rosenberg Self-Esteem Scale: translation and validation in university students.

Authors:  José Martín-Albo; Juan L Núñiez; José G Navarro; Fernando Grijalvo
Journal:  Span J Psychol       Date:  2007-11       Impact factor: 1.264

6.  A Japanese version of the Rosenberg Self-Esteem Scale: translation and equivalence assessment.

Authors:  Chizu Mimura; Peter Griffiths
Journal:  J Psychosom Res       Date:  2007-05       Impact factor: 3.006

7.  Smoking outcome expectancies mediate the association between sensation seeking, peer smoking, and smoking among young adolescents.

Authors:  Róbert Urbán
Journal:  Nicotine Tob Res       Date:  2009-12-03       Impact factor: 4.244

8.  Positive and negative global self-esteem: a substantively meaningful distinction or artifactors?

Authors:  H W Marsh
Journal:  J Pers Soc Psychol       Date:  1996-04

9.  Overweight, obesity, and health-related quality of life among adolescents: the National Longitudinal Study of Adolescent Health.

Authors:  Karen C Swallen; Eric N Reither; Steven A Haas; Ann M Meier
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10.  An examination of the wording effect in the Rosenberg Self-Esteem Scale among culturally Chinese people.

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Journal:  J Soc Psychol       Date:  2008-10
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5.  Individual Differences in the Association Between Celebrity Worship and Subjective Well-Being: The Moderating Role of Gender and Age.

Authors:  Ágnes Zsila; Gábor Orosz; Lynn E McCutcheon; Zsolt Demetrovics
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6.  Psychometric Properties of the Problematic Internet Use Questionnaire Short-Form (PIUQ-SF-6) in a Nationally Representative Sample of Adolescents.

Authors:  Zsolt Demetrovics; Orsolya Király; Beatrix Koronczai; Mark D Griffiths; Katalin Nagygyörgy; Zsuzsanna Elekes; Domokos Tamás; Bernadette Kun; Gyöngyi Kökönyei; Róbert Urbán
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7.  Pathological grooming: Evidence for a single factor behind trichotillomania, skin picking and nail biting.

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Journal:  PLoS One       Date:  2017-09-13       Impact factor: 3.240

8.  The connection and background mechanisms of social fears and problematic social networking site use: A structural equation modeling analysis.

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  10 in total

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