The Structure of the Rosenberg Self-Esteem Scale

Gnambs, Timo; Scharl, Anna; Schroeders, Ulrich

doi:10.1027/2151-2604/a000317

Cited by 69 publications

(74 citation statements)

References 90 publications

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“…Table 3. Estimated factor loadings (with standard errors) and model fit of the analyses with TSSEM and One-Stage MASEM on the dataset of Gnambs et al (2018). Note: 'ns.'…”

Section: Resultsmentioning

confidence: 99%

“…Therefore, future research could focus on the specificities of applying MASEM on raw data. Gnambs, Scharl, & Schroeders, 2018;Norton et al, 2013). The most prominent bias in metaanalytic CFA studies may be publication bias since studies with poor model fit are less likely to be published.…”

Section: Directions For Future Researchmentioning

confidence: 99%

“…Bifactor model on Self-Esteem indicators fromGnambs, Scharl & Schroeders (2018), with Individualism as a moderator of the factor loadings.…”

mentioning

confidence: 99%

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Meta-analytic structural equation modeling with moderating effects on SEM parameters.

Jak

Cheung²

2020

Psychological Methods

143

155

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Meta-analytic structural equation modeling (MASEM) is an increasingly popular metaanalytic technique that combines the strengths of meta-analysis and structural equation modeling. MASEM facilitates the evaluation of complete theoretical models (e.g., path models or factor analytic models), accounts for sampling covariance between effect sizes, and provides measures of overall fit of the hypothesized model on meta-analytic data. We propose a novel MASEM method, One-Stage MASEM, which is better suitable to explain study-level heterogeneity than existing methods. One-Stage MASEM allows researchers to incorporate continuous or categorical moderators into the MASEM, in which any parameter in the structural equation model (e.g., path coefficients and factor loadings) can be modeled by the moderator variable, while the method does not require complete data for the primary studies included in the meta-analysis. We illustrate the new method on two real datasets, evaluate its empirical performance via a computer simulation study, and provide user-friendly R-functions and annotated syntax to assist researchers in applying One-Stage MASEM. We close the paper by presenting several future research directions.

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“…Table 3. Estimated factor loadings (with standard errors) and model fit of the analyses with TSSEM and One-Stage MASEM on the dataset of Gnambs et al (2018). Note: 'ns.'…”

Section: Resultsmentioning

confidence: 99%

Section: Directions For Future Researchmentioning

confidence: 99%

See 1 more Smart Citation

Meta-analytic structural equation modeling with moderating effects on SEM parameters.

Jak

Cheung²

2020

Psychological Methods

143

155

View full text Add to dashboard Cite

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“…Higher scores are indicative of higher levels of self-esteem. Reliability and validity for the RSES have been provided in several studies (for recent meta-analytic studies, see [36,37]). To test its factorial validity in our sample of children, we conducted a CFA using a parceling approach for latent modeling.…”

Section: Children's Self-esteemmentioning

confidence: 99%

The Apple of Daddy’s Eye: Parental Overvaluation Links the Narcissistic Traits of Father and Child

Coppola

Musso

Buonanno

et al. 2020

IJERPH

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This study contributes to the literature on the parental correlates of children’s narcissism. It addresses whether parental overvaluation may drive the putative link between parents’ narcissism and children’s narcissism and self-esteem. The cross-sectional design involved a community sample of 519 school-age children (age ranging from 9 to 11 years old) and their parents from an Italian urban context. Child-reported measures included narcissistic traits and self-esteem, while parent-reported measures included narcissistic traits and overvaluation, as well as parenting styles. A series of structural equation models, run separately for mothers and fathers, showed that both parents’ narcissism was directly and positively related to overvaluation and the children’s narcissistic traits; overvaluation partially mediated the indirect link between the fathers’ and children’s narcissistic traits. None of the parenting-style dimensions were related to the children’s outcomes, with the exception of the mothers’ positive parenting being directly and positively related to children’s self-esteem. These findings shed new light upon the parental correlates of child narcissism by suggesting that mothers and fathers convey their narcissism to their offspring through differential pathways. Our findings may be understood from universal as well as cultural specifics regarding the parenting roles of mothers and fathers. Clinical implications for the treatment of youth narcissism suggest the potential of targeting not only children but also their parents.

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“…However, there are no guarantees that different versions of the RSES measure the same self-esteem construct. Gnambs, Scharl, and Schroeders (2018) produced data showing a best fit for the model in which the RSES consists of two specific factors for positively and negatively worded items in addition to a general factor. However, they found that the general factor loadings were invariantly higher across samples from the United States and other highly individualistic countries than from less individualistic countries.…”

Section: Empirical Research Showing Lack Of Validity For the Rsesmentioning

confidence: 99%

Why Do Researchers and Educators Still Use the Rosenberg Scale? Alternative New Concepts and Measurement Tools for Self-Esteem

Yamasaki¹

2019

JPBS

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Rosenberg's Self-Esteem Scale (RSES) has been the most frequently and widely used tool in self-esteem research and education. Until recently, findings on self-esteem have steadily accumulated using this scale. However, in recent years, more studies began to indicate various faults of the RSES, particularly in that it does not measure what Rosenberg (1965) demonstrated as the concept of desirable self-esteem. In this paper, first, it isdiscussed why the RSES should not be used in terms of validity. Thereafter, recent new concepts of self-esteem are introduced, including concepts by Deci and Ryan (1995), Kernis (2003), and Yamasaki et al. (2017). Next, according to Yamasaki et al. (2017), it is suggested that desirable self-esteem testing is needed using certain non-conscious measuring tools because self-report (i.e., consciously answered) questionnaires cannot capture desirable components of self-esteem. Regarding new assessment tools, newly developed implicit association tests (IATs) that are completely distinct from previous ones are discussed in terms of their measurementof desirable self-esteem. Finally, it is discussed how programs to enhance desirable selfesteem should operate, given their effectiveness. Thus, the current paper emphasizes the necessity to disseminate new concepts, measuring tools, and programs to correct wrong avenues on which researchers and educators have been treading.

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The Structure of the Rosenberg Self-Esteem Scale

Cited by 69 publications

References 90 publications

Meta-analytic structural equation modeling with moderating effects on SEM parameters.

Meta-analytic structural equation modeling with moderating effects on SEM parameters.

The Apple of Daddy’s Eye: Parental Overvaluation Links the Narcissistic Traits of Father and Child

Why Do Researchers and Educators Still Use the Rosenberg Scale? Alternative New Concepts and Measurement Tools for Self-Esteem

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