Computers, during its entry into the academic domain, were forecasted to revolutionize the entire educational system across the globe. At present, similar expectations have been encircling the social media technologies. Many researchers claim that social media, when introduced in higher education environments, tend to enhance the students'…

Item response theory (IRT) models are the main psychometric approach for the development, evaluation, and refinement of multi-item instruments and scaling of latent traits, whereas multilevel models are the primary statistical method when considering the dependence between person responses when primary units (e.g., students) are nested within…

Multilevel data are very common in educational research. Hierarchical linear models/linear mixed-effects models (HLMs/LMEs) are often utilized to analyze multilevel data nowadays. This paper discusses the problems of utilizing ordinary regressions for modeling multilevel educational data, compare the data analytic results from three regression…

The ambidexterity theory of leadership for innovation proposes that leaders' opening and closing behaviors positively predict employees' exploration and exploitation behaviors, respectively. The interaction of exploration and exploitation behaviors, in turn, is assumed to influence employee innovative performance, such that innovative performance…

Fostering peer interaction and shared learning is an important aim of inclusive instruction. However, it has not been established whether it is possible to offer explicit and intensive support for low achievers in inclusive settings. This longitudinal study examined whether a structured program that includes cooperative learning fosters…

Mexico, like other countries in Latin America, is currently facing significant problems with regard to juvenile antisocial behavior and crime. The current study explores some of the factors associated with school vandalism in public high schools. Multilevel modeling with survey data from 22,345 students from 249 schools, acquired over two years,…

This study examined dispositional and situational correlates of donating behavior in a sample of 221 eight-year-old children. Children were shown a promotional clip for a charity, including a donation call. For a random half of the children, the video fragment ended with a probe of a same-sex peer donating money to the charity. Seeing a peer…

The main aim of this study is to investigate the relationship between values and consumption, and to adduce the mediating roles of materialism in this association. Values have been investigated through Schwartz's main value dimensions in his Theory of Human Values: Self-Enhancement, Self-Transcendence, Openness to Change and Conservation. Through…

The idea that test scores may not be valid representations of what students know, can do, and should learn next is well known. Person fit provides an important aspect of validity evidence. Person fit analyses at the individual student level are not typically conducted and person fit information is not communicated to educational stakeholders. In…

The current study examined undergraduate student understanding of, and interest in, course material as potential antecedents to student experiences of flow within a classroom setting. In addition, the social, informative, and contagious nature of flow were examined, as was the influence of being in flow during classroom coverage of material on…

When fitting hierarchical regression models, maximum likelihood (ML) estimation has computational (and, for some users, philosophical) advantages compared to full Bayesian inference, but when the number of groups is small, estimates of the covariance matrix (S) of group-level varying coefficients are often degenerate. One can do better, even from…

When fitting hierarchical regression models, maximum likelihood (ML) estimation has computational (and, for some users, philosophical) advantages compared to full Bayesian inference, but when the number of groups is small, estimates of the covariance matrix [sigma] of group-level varying coefficients are often degenerate. One can do better, even…

Stan is a free and open-source C++ program that performs Bayesian inference or optimization for arbitrary user-specified models and can be called from the command line, R, Python, Matlab, or Julia and has great promise for fitting large and complex statistical models in many areas of application. We discuss Stan from users' and developers'…

Young children are able to benefit from early science teaching but many preschool teachers have not had opportunities to deepen their own understanding of science or to develop their pedagogical content knowledge (PCK) in relation to specific science topics and concepts. This study presents the results of efficacy research on Foundations of…

Although delinquency in US schools is near historic lows, concern over delinquency in US schools remains a pressing issue among school officials, parents, and policy-makers. Many scholars argue that the current approach to discipline in the United States is highly punitive. While some projects have assessed the effect of punitive security on…