Low levels of discriminant validity between self-report measures of self-esteem, shame, and self-criticism: Implications for the measurement of self-evaluation and creation of the Negative Self-Evaluation Scale.

This article examined the discriminant and convergent validity of commonly used self-report measures of self-criticism, self-esteem, and shame. A confirmatory factor analysis (CFA) using multiple self-report measures of each construct showed low levels of discriminant validity between self-reported self-esteem, shame, and self-criticism and instead demonstrated correspondingly high levels of shared variance. However, bifactor analyses on the items across each measure suggested that self-report measures of self-esteem, shame, and self-criticism may contain distinct characteristics that are underrepresented in current measures of each construct. Based on the factor loadings in item-level bifactor analyses, a new measure, the Negative Self-Evaluation Scale (NSES), was constructed to improve the assessment of the unique characteristics of shame, self-esteem, and self-criticism. Implications for current and future practices concerning the measurement of each construct are discussed. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

A novel measure of effect size for mediation analysis.

Mediation analysis has become one of the most popular statistical methods in the social sciences. However, many currently available effect size measures for mediation have limitations that restrict their use to specific mediation models. In this article, we develop a measure of effect size that addresses these limitations. We show how modification of a currently existing effect size measure results in a novel effect size measure with many desirable properties. We also derive an expression for the bias of the sample estimator for the proposed effect size measure and propose an adjusted version of the estimator. We present a Monte Carlo simulation study conducted to examine the finite sampling properties of the adjusted and unadjusted estimators, which shows that the adjusted estimator is effective at recovering the true value it estimates. Finally, we demonstrate the use of the effect size measure with an empirical example. We provide freely available software so that researchers can immediately implement the methods we discuss. Our developments here extend the existing literature on effect sizes and mediation by developing a potentially useful method of communicating the magnitude of mediation. (PsycINFO Database Record