The purpose of this study is to examine the differences in the morale and job satisfaction levels of teachers in elementary (including primary and middle) and secondary (high) schools in terms of their demographic characteristics (gender, age, branch, marital status, teaching level--primary, middle, or high schools--and seniority) and to analyse…

There has been strong interest among higher education institution in implementing technology-enhanced peer assessment as a tool for enhancing students' learning. However, little is known on how to use the peer assessment system in pre-instructional activities. This study aims to explore how technology-enhanced peer assessment can be embedded into…

Higher education has experienced an increase in parent engagement in the lives of college students (Arnett, 2014). Recognizing the presence of families, researchers have investigated the relationship between parenting style and college success variables such as academic performance (Miller & Speirs Neumeister, 2017), wellness (Coccia &…

This study, conducted at California State University (CSU) in Southern California, focused on student engagement factors and academic performance of supplemental instruction (SI) students concurrently enrolled in a gateway mathematics course. The purpose of this quantitative correlational survey study was to investigate engagement factors employed…

The purpose of this quantitative study was to determine if the outcome of two different types of referendums, operating fund and construction, could be more accurately predicted by using certain predictor variables. Furthermore, if the outcome could be more accurately predicted, which predictor variables were statistically significant in that…

Latent change score models (LCS) are conceptually powerful tools for analyzing longitudinal data (McArdle & Hamagami, 2001). However, applications of these models typically include constraints on key parameters over time. Although practically useful, strict invariance over time in these parameters is unlikely in real data. This study…

This article shows how statistical matching methods can be used to select "most similar" cases for qualitative analysis. I first offer a methodological justification for research designs based on selecting most similar cases. I then discuss the applicability of existing matching methods to the task of selecting most similar cases and…

Propensity score matching techniques are becoming increasingly common as they afford applied practitioners the ability to account for systematic bias related to self-selection. However, "best practices" for implementing these techniques in applied settings is scattered throughout the literature. The current article aims to provide a…

At the modern stage one of the urgent tasks of development of psychology and pedagogy is the study of the basic directions, trends and developmental priorities of research of the specifics of psychological indicators of anticipation of people with whose mental development corresponds to age norms and persons with intellectual and mental…

This article addresses the problem of testing the difference between two correlated agreement coefficients for statistical significance. A number of authors have proposed methods for testing the difference between two correlated kappa coefficients, which require either the use of resampling methods or the use of advanced statistical modeling…

In this commentary from Issue 14, n3, authors John Cadogan and Nick Lee applaud the paper by Aguirre-Urreta, Rönkkö, and Marakas "Measurement: Interdisciplinary Research and Perspectives", 14(3), 75-97 (2016), since their explanations and simulations work toward demystifying causal indicator models, which are often used by scholars…

Researchers have become increasingly interested in conducting analyses on meta-analytic correlation matrices. Methodologists have provided guidance and recommended practices for the application of this technique. The purpose of this article is to review current practices regarding analyzing meta-analytic correlation matrices, to identify the gaps…

This study aims to evaluate critical thinking skills in a multidimensional way. Based on this objective, the level of teachers' critical thinking skills, how they conceptualize critical thinking, their practices of critical thinking in the classroom, and if the critical thinking is referred enough in the curriculum are analyzed in this research.…

Measurement invariance is crucial for an effective and valid measure of a construct. Invariance holds when the latent trait varies consistently across subgroups; in other words, the mean differences among subgroups are only due to true latent ability differences. Differential item functioning (DIF) occurs when measurement invariance is violated.…

When we speak about heterogeneity in a meta-analysis, our intent is usually to understand the substantive implications of the heterogeneity. If an intervention yields a mean effect size of 50 points, we want to know if the effect size in different populations varies from 40 to 60, or from 10 to 90, because this speaks to the potential utility of…