2010
DOI: 10.1037/a0019225
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Longitudinal tests of competing factor structures for the Rosenberg Self-Esteem Scale: Traits, ephemeral artifacts, and stable response styles.

Abstract: Self-esteem, typically measured by the Rosenberg Self-Esteem Scale (RSE), is one of the most widely studied constructs in psychology. Nevertheless, there is broad agreement that a simple unidimensional factor model, consistent with the original design and typical application in applied research, does not provide an adequate explanation of RSE responses. However, there is no clear agreement about what alternative model is most appropriate-or even a clear rationale for how to test competing interpretations. Thre… Show more

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Cited by 304 publications
(318 citation statements)
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References 70 publications
(153 reference statements)
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“…We accounted for the Likert-type response scale of the RSE by using item factor analysis with categorical indicators (Wirth & Edwards, 2007). The model was similar to the parcel-level measurement model described above, except that the item-level model required including wave-specific method factors that accounted for bias due to positive and negative wording of the items (Marsh, Scalas, & Nagengast, 2010). Both the positive and negative wording factors were correlated across waves, but positive wording factors were uncorrelated with negative wording factors, and all wording factors were uncorrelated with the self-esteem factors.…”
Section: Measurement Invariance Of Self-esteemmentioning
confidence: 99%
“…We accounted for the Likert-type response scale of the RSE by using item factor analysis with categorical indicators (Wirth & Edwards, 2007). The model was similar to the parcel-level measurement model described above, except that the item-level model required including wave-specific method factors that accounted for bias due to positive and negative wording of the items (Marsh, Scalas, & Nagengast, 2010). Both the positive and negative wording factors were correlated across waves, but positive wording factors were uncorrelated with negative wording factors, and all wording factors were uncorrelated with the self-esteem factors.…”
Section: Measurement Invariance Of Self-esteemmentioning
confidence: 99%
“…A large body of empirical evidence supports the internal consistency of the instrument (Byrne, 1983), its predictive validity (Kaplan, 1980), and its equivalence over time (Marsh, Scalas, &Nagengast, 2010;Motl & DiStefano, 2002). The popularity of the 10-item RGSE has been due in part to its long history of use, its uncomplicated language, and its brevity (it takes only 1 or 2 minutes to be completed).…”
mentioning
confidence: 99%
“…CTUM was chosen over other MTMM CFA models (e.g., correlated trait-correlated method; CTCM) because it does not overestimate the method variance, thereby providing a more conservative estimation of the method effect (Marsh, 1989; see also Marsh & Bailey, 1991). Recent evidence by Marsh et al (2010) supported the estimation accuracy of CTUM models. Following recommendations in the literature, we parceled personality items (e.g., Marsh et al, 1998;Nasser & Wisenbaker, 2003;Yuan et al, 1997).…”
Section: Multitrait-multimethods Confirmatory Factor Analysesmentioning
confidence: 99%
“…Single arrows represent factor loadings and double arrows represent covariance among latent factors. (e.g., Billiet & McClendon, 2000;Marsh et al, 2010;Motl & DiStefano, 2002;Quilty et al, 2006), and rarely attempted to model both biases simultaneously. An important advantage of using MTMM SEM techniques is that it allows us to model bias within the same framework and examine whether one type of bias can be fully explained by another bias.…”
Section: Discussionmentioning
confidence: 99%
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