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 …
Determining the optimal number of factors to retain in exploratory factor analysis (EFA) has long been a subject of debate in social sciences research. Finch (2020) addresses this challenge by comparing the performance of fit index difference values and parallel analysis, a well-established method in this field. The study offers …
Babcock and Hodge (2020) address a significant challenge in educational measurement: accurately equating exam scores when sample sizes are limited. Their study evaluates the performance of Rasch and classical equating methods, particularly for credentialing exams with small cohorts, and introduces data pooling as a potential solution. Background Equating ensures fairness …
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 …
Abstract This study aimed to investigate the relationships between tasks of the Jouve Cerebrals Crystallized Educational Scale (JCCES) and General Ability Measure for Adults (GAMA) using multidimensional scaling (MDS) analysis. The JCCES measures Verbal Analogies, Mathematical Problems, and General Knowledge, while the GAMA assesses nonverbal cognitive abilities through Matching, Analogies, …
Abstract This study aimed to investigate the differentiation between cognitive abilities assessed by the Jouve Cerebrals Crystallized Educational Scale (JCCES) and General Ability Measure for Adults (GAMA). A sample of 63 participants completed both JCCES and GAMA subtests. Pearson correlation and factor analysis were used to analyze the data. The …
Abstract This study aimed to examine the relationship between the Jouve Cerebrals Crystallized Educational Scale (JCCES) and the American College Test (ACT) by conducting a factor analysis. The dataset consisted of 60 observations, with Pearson’s correlation revealing significant associations between all variables. The factor analysis identified three factors, with the …
Roberts and Thompson (2011) conducted a thorough analysis of item parameter estimation methods within the Generalized Graded Unfolding Model (GGUM). Their work focused on the performance of the Marginal Maximum A Posteriori (MMAP) procedure compared to other approaches, including Marginal Maximum Likelihood (MML) and Markov Chain Monte Carlo (MCMC). By …
Abstract This study aimed to investigate the underlying dimensions of the Jouve Cerebrals Crystallized Educational Scale (JCCES) Mathematical Problems (MP) using Alternating Least Squares Scaling (ALSCAL). The dataset consisted of intercorrelations between 38 MP items, with 588 participants. Various dimensional solutions were assessed for the goodness of fit. A 4-dimensional …
Abstract This study examined the relationship between the Jouve Cerebrals Crystallized Educational Scale (JCCES) and the Reynolds Intellectual Assessment (RIAS) Verbal Scale using Principal Component Analysis (PCA). The PCA revealed a strong relationship between JCCES and the RIAS Verbal Scale, supporting the hypothesis that there is a common underlying construct …
