Fit indices are descriptive measures that can help evaluate how well a confirmatory factor analysis (CFA) model fits a researcher's data. In multigroup models, before between-group comparisons are made, fit indices may be used to evaluate measurement invariance by assessing the degree to which multiple groups' data are consistent with increasingly…

Measurement invariance (MI) describes the equivalence of measurement models of a construct across groups or time. When comparing latent means, MI is often stated as a prerequisite of meaningful group comparisons. The most common way to investigate MI is multi-group confirmatory factor analysis (MG-CFA). Although numerous guides exist, a recent…

We investigated three different approaches for quantifying individual change and reporting it back to persons: (a) the common change score, which is obtained by first computing scale scores from two consecutive measurements and then subtract these scores from one another, (b) the ad-hoc approach, which is similar to the former approach but uses…

Random forests are a nonparametric machine learning method, which is currently gaining popularity in the behavioral sciences. Despite random forests' potential advantages over more conventional statistical methods, a remaining question is how reliably informative predictor variables can be identified by means of random forests. The present study…

Missing data are a pervasive problem in data analysis. Three common methods for addressing the problem are (a) complete-case analysis, where only units that are complete on the variables in an analysis are included; (b) weighting, where the complete cases are weighted by the inverse of an estimate of the probability of being complete; and (c)…

Historically, organizational researchers have fully embraced frequentist statistics and null hypothesis significance testing (NHST). Bayesian statistics is an underused alternative paradigm offering numerous benefits for organizational researchers and practitioners: e.g., accumulating direct evidence for the null hypothesis (vs. 'fail to reject…

A decision consistency (DC) index is an estimate of the consistency of a classification decision on an exam. More specifically, DC estimates the percentage of examinees that would have the same classification decision on an exam if they were to retake the same or a parallel form of the exam again without memory of taking the exam the first time.…

We extended current knowledge by examining the performance of several Bayesian model fit and comparison indices through a simulation study using the confirmatory factor analysis. Our goal was to determine whether commonly implemented Bayesian indices can detect specification errors. Specifically, we wanted to uncover any differences in detecting…

Test score comparability in international large-scale assessments (LSA) is of utmost importance in measuring the effectiveness of education systems and understanding the impact of education on economic growth. To effectively compare test scores on an international scale, score linking is widely used to convert raw scores from different linguistic…

High school graduation is a meaningful indicator of student achievement and a stronger predictor of long-term quality of life outcomes compared to student test scores. The existing body of research has been limited on whether charter attendance improves high school graduation and whether charter attendance helps narrow the graduation gap among…

Distance learning and online learning have become the new educational paradigm. Based on synchronicity, online learning environments can be classified into synchronous and asynchronous online learning. However, previous evidence demonstrating the effects of these two online learning modalities on students' academic achievement has been…

In sample survey analysis, accurate population mean estimation is an important task, but traditional approaches frequently ignore the intricacies of real-world data, leading to biassed results. In order to handle uncertainties, indeterminacies, and ambiguity, this work presents an innovative approach based on neutrosophic statistics. We proposed…

Previous research has supported selecting development-matched targets rather than age-matched targets to teach play skills to children with autism spectrum disorder. However, few studies have been conducted, and replications and extensions of this research are needed. The current study replicated Pane et al. (2022) by comparing the acquisition of…

We utilized Global Adult Tobacco Survey data to examine singlestick purchases and related demographic characteristics in 10 African countries (Botswana, Cameroon, Ethiopia, Kenya, Nigeria, Mauritania, Senegal, South Africa, Uganda and Tanzania). Results show the weighted percentages and prevalence ratios with predicted marginal means to evaluate…

University study is a period of psychological vulnerability for many individuals. International college students may be particularly vulnerable to experiencing distress and developing a mental illness due to challenges of relocation and acculturation. The aim of this meta-analytic review was to synthesize the literature on the mental health…