Teaching is deemed a taxing enterprise, especially as far as higher education is concerned. As a result, much research attention has been showered upon exploring the correlates of engagement for instructors. To contribute to this research direction, the present researchers carried out this survey to test a model of work engagement in a Chinese…

The purpose of this study was to assess the level of student socially responsible leadership behavior (SRLB) within one urban Historically Black College/University (HBCU) through the lens of the "Social Change Model" of leadership development of college students. A secondary purpose of the study was to investigate the influence of…

Recent research suggests the benefits of supporting a progressive understanding of concepts of inference prior to the teaching of procedures and formal calculations through the study of informal statistical inference (ISI). To contribute to the growing knowledge about the early learning and teaching of statistics, particularly regarding the…

With the quick rise of social media's popularity among the young, colleges and universities have found ways to use social media to recruit prospective students, engage current students, and connect with former ones. The purpose of this study was to investigate the role of social media use for varied purposes among a student population often…

The aim of the study was to examine self-motivation and study ethics as predictors of academic achievement among undergraduates in a Nigerian University. The study employed the correlation research design in the quantitative approach. Purposive sampling technique was used to draw a sample of 320 students out of which 228 students consented and…

This descriptive correlational study examined the predictive relationships between ACT composite scores, high school GPA, ACT testing attempts, and gender with teacher candidate's overall performance on the edTPA and each of the three edTPA instructional tasks (Task 1, Task 2, and Task 3). The edTPA is a portfolio-based subject-specific teaching…

International survey researchers are increasingly turning to a geospatial sampling approach known as gridded population sampling for finer resolution and a more updated sampling frame than conventional census-based sampling. To date, there have been no direct comparisons of accuracy between survey results derived from the two methods. This…

To better understand the self-regulated learning process in online learning environments, this research applied a data mining method, the two-layer hidden Markov model (TL-HMM), to explore the patterns of learning activities. We analyzed 25,818 entries of behavior log data from an intelligent tutoring system. Results indicated that students with…

The purpose of this study is to present a set of empirically derived effect size distributions in order to provide field-based benchmarks for assessing the relative effects of interventions aimed at reducing challenging behavior or increasing engagement for young children with and without disabilities. We synthesized 192 single-case designs that…

In Bayesian statistics, the most widely used criteria of Bayesian model assessment and comparison are Deviance Information Criterion (DIC) and Watanabe-Akaike Information Criterion (WAIC). A multilevel mediation model is used as an illustrative example to compare different types of DIC and WAIC. More specifically, the study compares the…

Place-based initiatives often use resident surveys to inform and evaluate interventions. Sampling based on well-defined sampling frames is important but challenging for initiatives that target subpopulations. Databases that enumerate total population counts can produce overinclusive sampling frames, resulting in costly outreach to ineligible…

This quantitative study was conducted to determine if a relationship exists between former Missouri Career and Technical Education (CTE) concentrators' Technical Skills Assessment (TSA) performance and attaining related placement after high school, specifically analyzing for differences among racial/ethnic and socioeconomic status (SES) groups.…

Path analysis is used to provide estimates of the magnitude and significance of hypothesized causal connections among sets of variables displayed using path diagrams. It is an extension of multiple regression analysis and holds strength as a methodology as it allows researchers to assess both direct and indirect effects of multiple independent…

The purpose of this study was to develop predictive models of student test-taking engagement in computerized formative assessments. Using different machine learning algorithms, the models utilize student data with item responses and response time to detect aberrant test behaviors such as rapid guessing. The dataset consisted of 7,602 students…

Observational data typically contain measurement errors. Covariance-based structural equation modelling (CB-SEM) is capable of modelling measurement errors and yields consistent parameter estimates. In contrast, methods of regression analysis using weighted composites as well as a partial least squares approach to SEM facilitate the prediction and…