Research studies in Educational Data Mining (EDM) often involve several variables related to student learning activities. As such, it may be necessary to run multiple statistical tests simultaneously, thereby leading to the problem of multiple comparisons. The Benjamini-Hochberg (BH) procedure is commonly used in EDM research to address this…

Recent methods have sought to improve precision in randomized controlled trials (RCTs) by utilizing data from large observational datasets for covariate adjustment. For example, consider an RCT aimed at evaluating a new algebra curriculum, in which a few dozen schools are randomly assigned to treatment (new curriculum) or control (standard…

Objective: To describe the quantitative validation of a unique questionnaire to measure moral distress among social workers in long-term care facilities in Israel. Method: Overall, 216 long-term care facilities' social workers took part in the pilot study that included psychometric evaluation and construct validation. Moral distress was examined…

In this paper, we describe the initial stage of reliability and validity testing for the Mathematics Education of English Learners Scale (MEELS), which is designed to measure preservice teachers' beliefs about the mathematics education of English learners. To address the content validity, we consulted with experts within the field of mathematics…

Energy is a critically important topic in the K-12 science curriculum, with many applications in the earth, physical, and life sciences and in engineering and technology. To meet the challenges associated with teaching energy, new tools and assessment instruments are needed. In this work we describe the development of a three-tier assessment…

Online adaptive tutoring systems are increasingly being used in classrooms as a way to provide guided learning for students. Such tutors have the potential to provide tailored feedback based on specific student needs and misunderstandings. Bayesian knowledge tracing (BKT) is used to model student knowledge when knowledge is assumed to be changing…

A growing body of research suggests that accounting for student specific variability in educational data can improve modeling accuracy and may have implications for individualizing instruction. The Additive Factors Model (AFM), a logistic regression model used to fit educational data and discover/refine skill models of learning, contains a…

Cultural differences between faculty and their students can create important challenges that affect the quality and efficacy of online teaching and learning. The objectives of this study were to: (a) create and pilot test an assessment for online faculty to measure culturally responsive teaching knowledge (CRT) and culturally responsive…

Previous studies on teachers' thinking have usually related to teaching and learning, and concentrated on classroom-level outcomes. In this study, an organizational and administrative perspective was adopted in examining teachers' thinking style. Data collected were from a sample of 268 in-service teachers from 6 primary schools in Beijing, China.…

In this study, Don't Know/Not Applicable (DK/NA) responses on a measure of academic behaviors associated with college readiness for high school students were treated with: (a) casewise deletion, (b) scale inclusion at the lowest level, and (c) imputation using E/M algorithm. Significant differences in mean responses according to treatment…

As lines between research paradigms continue to blur with the ever-increasing popularity of mixed methods research, there are useful, and occasionally oxymoronic, opportunities for educational researchers to juxtapose tools from opposing methods. The gold standard is just not possible in so much of what we do with small-scale research, nor is it…

In this study, the "Information Seeking Strategies" scale that was developed by Mills, Knezek and Wakefield (2013) has been adapted to Turkish language. A confirmatory factor analysis was run and subsequently, two items were removed. The fact that these two items are related to learning in a traditional class environment may be…

This paper documents efforts to develop an instrument to measure mathematical knowledge for teaching high school geometry (MKT-G). We report on the process of developing and piloting questions that purported to measure various domains of MKT-G. Scores on the final set of items had no statistical relationship with total years of experience…

Within the field of higher education, the majority of quantitative research focuses on college students. Given the limitations of institutional databases, surveys of college students have become one of the largest and most frequently used data sources. In addition, surveys of college students play an increasingly important role in evaluating…

The Social-Emotional and Character Development Scale (SECDS) is intended as a measure of social-emotional skills and character for elementary school-age children. This study investigated the measure's psychometric properties using data collected over 5 waves for a cohort of students followed from Grades 3 to 5 in 14 urban elementary schools (N…