Matthias Ziegler

TL;DR: In this article, Monte Carlo methods are used to demonstrate the robustness of the analysis of variance (ANOVA) concerning violation of the normality assumption. But, the authors do not consider the effect sizes of the samples.

TL;DR: Together, these studies provide extensive and compelling evidence that the DIAMONDS taxonomy is useful for organizing major dimensions of situation characteristics.

TL;DR: Using data simulation, the authors illustrate how the value of the chi-square test, the root-mean-square error of approximation, and the standardized root- mean-square residual are decreased when unique variances are increased although model misspecification is present.

TL;DR: A special issue of the Journal of Individual Differences (JID) as mentioned in this paper brought together a variety of researchers who have approached the topic of short scales from different angles, and resolved some misunderstandings and open questions regarding the construction, psychometric quality and use of short scale by bringing together methodological, statistical, and constructionoriented perspectives.

TL;DR: In this article, a model integrating the results and providing a theoretical framework and outlook is proposed to analyze the relationship between Openness, fluid intelligence, and crystallized intelligence (Gc).