A bifactor approach to modelling the Rosenberg Self Esteem Scale
A bifactor approach to modelling the Rosenberg Self Esteem Scale
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DOI：
10.1016/j.paid.2014.03.034
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发表时间：
2014-08-01
影响因子：
4.3
通讯作者：
Egan, Arlene
中科院分区：
文献类型：
--
作者：
Hyland, Philip;Boduszek, Daniel;Egan, Arlene
实证文献中关于罗森伯格自尊量表（RSES；Rosenberg，1989）的基本因素结构存在不一致。在研究背景下，RSES 被认为是自尊的单维测量。实证研究结果破坏了这种概念化，因素分析结果有利于各种单因素解决方案（具有相关的测量误差）或多维表示。当前的研究应用了双因素建模方法，为当前的不一致问题提供了理论上和方法上令人满意的解决方案。 RSES 的三个替代因素模型在成年人口的大样本中进行了测试（N = 6082）。结果表明双因素模型是数据的最佳拟合。该模型被证明在男性和女性中具有因子不变性。量表的信度是利用复合信度建立的。结果的讨论是为了解决有关 RSES 适当因子结构的争论。 (C) 2014 Elsevier Ltd. 保留所有权利。
Inconsistency exists in the empirical literature with respect to the underlying factor structure of the Rosenberg Self-Esteem Scale (RSES; Rosenberg, 1989). In research contexts the RSES is considered a uni-dimensional measure of self-esteem. Empirical findings have undermined this conceptualisation with factor analytic findings favouring a variety of one-factor solutions (with correlated measurement errors) or multidimensional representations. The current study applied a bifactor modelling approach to provide a theoretical and methodologically satisfying resolution to the current inconsistency. Three alternative factor models of the RSES were tested among a large sample of the adult population (N = 6082). Results indicated that a bifactor model was the best fit of the data. This model was demonstrated to be factorially invariant among males and females. The reliability of the scale was established using composite reliability. Results are discussed in terms of resolving the debate about the appropriate factor structure of the RSES. (C) 2014 Elsevier Ltd. All rights reserved.