Leifeng Xiao and Kit-Tai Hau’s article, “Performance of Coefficient Alpha and Its Alternatives: Effects of Different Types of Non-Normality,” examines how coefficient alpha and other reliability indices perform under varying conditions of non-normality. The study offers critical insights into how these measures behave across different data structures, providing useful recommendations …
Olvera Astivia, Kroc, and Zumbo’s (2020) study examines the assumptions underlying Cronbach’s coefficient alpha and how the distribution of items affects reliability estimation. By introducing a new framework rooted in Fréchet-Hoeffding bounds, the authors offer a fresh perspective on the limitations of this widely used reliability measure. Their work provides …
The study by Shi and Maydeu-Olivares (2020) analyzes how different estimation methods influence key fit indices in Structural Equation Modeling (SEM). By focusing on methods such as Maximum Likelihood (ML), Unweighted Least Squares (ULS), and Diagonally Weighted Least Squares (DWLS), the authors explore the nuances of model fit across various …
