Instructors and the teaching practices they employ play a critical role in improving student learning in college science, technology, engineering, and mathematics (STEM) courses. Consequently, there is increasing interest in collecting information on the range and frequency of teaching practices at department-wide and institution-wide scales. To…

Learning analytics is a domain that has been constantly evolving throughout recent years due to the acknowledgement of its importance by those using intelligent data, learner-produced data, and analysis models to discover information and social connections for predicting and advising people's learning [1]. Learning analytics may be applied in a…

This paper investigates the technical, and allocative efficiencies of public schools in Kuwait over four levels of schooling (kindergartens, primary, intermediate and secondary) and two periods (1999/2000 and 2004/2005) using data envelopment analysis. Mean pure technical efficiency varies between 0.695 and 0.852 across all levels of education;…

Although research on dating violence is growing, little is known about the distinct developmental trajectories of dating violence during adolescence. The current study identifies trajectories of physical dating violence victimization and perpetration that boys and girls follow from sixth to twelfth grade, examines the overlap of these…

The purpose of this study was to examine the quality of quantitative articles published in the "Journal of Counseling & Development." Quality concerns arose in regard to omissions of psychometric information of instruments, effect sizes, and statistical power. Type VI and II errors were found. Strengths included stated research…

Missing data are common in studies that rely on multiple informant data to evaluate relationships among variables for distinguishable individuals clustered within groups. Estimation of structural equation models using raw data allows for incomplete data, and so all groups can be retained for analysis even if only 1 member of a group contributes…

This event focused on the What Works Clearinghouse practice guide, "Using Student Achievement Data to Support Instructional Decision Making" (ED506645). During the event, the presenter, Sharnell Jackson, led school data teams in activities involving analysis of their own student data. This Q&A addressed the questions participants had…

This sequential explanatory mixed methods study investigated 24 college and university syllabi for content consisting of multicultural education that used the framework for multicultural education devised by James A. Banks (2006). This framework was used to analyze data collected using descriptive statistics for quantitative phase one. The four…

Helping students complete developmental course sequences and graduate from college is one of the biggest challenges facing community college leaders and educators. The majority of entering students need one or more developmental courses yet most of these students never finish the developmental sequence. Colleges are continuously developing new…

Teacher stayers have remained within a profession experiencing an average annual turnover rate of 14% (Liu, 2007) and its lowest levels of job satisfaction in 20 years (MetLife Survey of the American Teacher, 2011). Exploring the lived experiences of teacher stayers might hold significant potential in decreasing the turnover rate given they have…

The rise of digital game and simulation-based learning applications has led to new approaches in educational measurement that take account of patterns in time, high resolution paths of action, and clusters of virtual performance artifacts. The new approaches, which depart from traditional statistical analyses, include data mining, machine…

In some popular test designs (including computerized adaptive testing and multistage testing), many item pairs are not administered to any test takers, which may result in some complications during dimensionality analyses. In this paper, a modified DETECT index is proposed in order to perform dimensionality analyses for response data from such…

Researchers are strongly encouraged to accompany the results of statistical tests with appropriate estimates of effect size. For 2-group comparisons, a probability-based effect size estimator ("A") has many appealing properties (e.g., it is easy to understand, robust to violations of parametric assumptions, insensitive to outliers). We review…

The expertise reversal effect occurs when learner's expertise moderates design principles derived from cognitive load theory. Although this effect is supported by numerous empirical studies, indicating an overall large effect size, the effect was never tested by inducing expertise experimentally and using instructional explanations in a…

Using a quantitative study the researchers examined perceptions regarding school climate of parents with children who attend urban schools, based on several dimensions: quality of the instructional program, support for learning, school climate/environment for learning, parent/school relationships, and resource management. Of the 150 administered…