The focus of this study is to use the mixture item response theory (MixIRT) model while implementing the no-U-turn sampler as a technique for investigating the presence of latent classes (i.e., subpopulations) among eighth-grade students who were administered TIMSS 2019 mathematics subtest in paper format from the gulf cooperation council (GCC)…

Past studies of the relation between teacher-student relationship (TSR) and students' academic achievement (SAA) yielded mixed results, so this study determined the overall link between TSR and SAA, along with their moderators. This three-level meta-analysis of 90 independent effect sizes in 74 empirical studies of 233,961 students showed an…

Minimum discriminant information adjustment (MDIA), an approach to weighting samples to conform to known population information, provides a generalization of raking and poststratification. In the case of simple random sampling with replacement with uniform sampling weights, large-sample properties are available for MDIA estimates of population…

Purpose: Teachers' ability attributions play an important role in students' educational outcomes. Perceptions of academic abilities, however, are subject to biases. This study aims to examine ethnic biases in homeroom teachers' ability attributions in Hungarian primary schools. Design/methodology/approach: Using a unique database combining survey…

This paper provides the first population-based evidence on how much standardized test scores vary among public school districts within each state and how segregation explains that variation. Using estimates based on roughly 300 million test score records in math and English Language Arts (ELA) for Grades 3 through 8 from every U.S. public school…

It has previously been shown that the effective use of dialogic instruction has a positive impact on student achievement. In this study, we investigate whether linguistic features used to classify properties of classroom discourse generalize across different subpopulations. Results showed that the machine learned models perform equally well when…

Program evaluation has long been used to reveal program characteristics, merits, and challenges. While providing information about program effectiveness, evaluations can also ensure understanding of program outcomes, efficiency, and quality. Furthermore, evaluations can analyze and examine a program's political and social environment as well as…