Recent advances have made it possible to model mixture components within Growth Curve Models(GCMs) and Growth Mixture Models(GMMs) using robust,skewed mixture distributions.
Linking data is an important topic in investigating educational trajectories.As such,our aim is to appropriately link the growing number of competence data from the German National Educational Panel S
Multi-Group Latent Class Analysis(MG-LCA) is a valuable procedure for cross-cultural studies evaluating parental preference for service delivery,yet it is rarely used in implementation research.
Though the mediation model is causal in theory,nonrandomized studies often preclude inferring causation.Recent methodological advances have made progress in improving causal interpretation of model pa
This research had as its main objective the standardization and validation of the Inventory of Situations and Responses of Anxiety ISRA(Miguel-Tobal & Cano-Vindel,2002) in the population of the Domini
Growth Mixture Modeling(GMM) provides a more flexible approach to the analysis of longitudinal data compared to more traditional methods(Bauer & Curran,2003).
Interest in developing Computerized Adaptive Testing(CAT) under cognitive diagnostic models has increased recently.Cognitive Diagnostic CAT(CD-CAT) attempts to classify examinees into the correct late
Quantitative empirical research in higher education relies more and more heavily on student survey data.However,the validity of the indicators/benchmarks constructed with self-reported data is often c
Student achievement is a global concern as reflected in recent large-scale standardized assessments.This study compared PISA 2012 student mathematical literacy scores with principal perceptions across
Student retention is one of the most important considerations for postsecondary institutions,especially in small private colleges where resources may be limited.