Online surveys are widely used in social science research as well as in empirical studies of open, online, and distance education. However, students' responses are likely to be at odds with their actual behavior. In this context, we examined the discrepancies between self-reported use and actual use (i.e., learning analytics data) among 20,646…

Although numerous survey-based studies have found that students who identify as lesbian, gay, bisexual, or questioning (LGBQ) have elevated risk for many negative academic, disciplinary, psychological, and health outcomes, the validity of the types of data on which these results rest have come under increased scrutiny. Over the past several years,…

The present article aims to show how to model longitudinal change in cohort sequential data applying latent true change models using Mplus' multi-group approach. The underlying modeling ideas are described and explained in this article. As an example, change in internalizing problem behaviors between the age of 8 and 13 years is modeled and…

Educational data mining is a developing research trend for exploring hidden patterns and natural associations among a set of student, teacher or school related variables. Discovering profiles of preservice science teachers using data mining methods would give important information about quality of teacher education programs and future science…

Education researchers use surveys widely. Yet, critics question respondents' ability to provide high-quality responses. As schools increasingly use student surveys to drive local policy making, respondents' (lack of) motivation to provide quality responses may threaten the wisdom of using questionnaires for data-based decision making. To better…

This paper reports on a study to predict students at risk of failing based on data available prior to commencement of first year. The study was conducted over three years, 2010 to 2012, on a student population from a range of academic disciplines, n=1,207. Data was gathered from both student enrollment data and an online, self-reporting,…

Heart failure (HF) is a preventable and serious life threatening disease. Robust information is available on patient satisfaction when telehealth is used to manage chronic illness, but minimal information is available on Advance Practice Nurse (APN) satisfaction when APNs use this modality to deliver remote healthcare. The purpose of this project…

What factors might be causing the low participation of women Science, Technology, Engineering and Mathematics (STEM) fields? What can be done to attract more girls and women into STEM in Asia and beyond? The report, "A Complex Formula. Girls and Women in Science, Technology, Engineering and Mathematics in Asia", answers three fundamental…

The 2015-16 National Teacher and Principal Survey (NTPS) is a nationally representative sample survey of public K-12 schools, principals, and teachers in the 50 states and the District of Columbia. This report presents selected findings from the Public School Principal Data File of NTPS. The purpose of NTPS is to collect information that can…

This study examined the prediction of dropouts through data mining approaches in an online program. The subject of the study was selected from a total of 189 students who registered to the online Information Technologies Certificate Program in 2007-2009. The data was collected through online questionnaires (Demographic Survey, Online Technologies…

This study explores the sources of variability in Mathematics achievement of Ugandan students at the student, classroom and school level. The Mathematics score and questionnaire responses of 4,819 first-year secondary school students (Grade Seven, about 14-15 years old) from 78 classrooms of 49 schools were analysed. A three-level linear model was…

This study has two central purposes: First, it examines not only the roles of gender and persistence in undergraduate computing majors' learning self-efficacy, computer self-efficacy, and programming self-efficacy but also Bandura's hypothesized sources of self-efficacy; second, it examines the influence of sources of efficacy on the three…

Acting as the lead agency for the "National STEM Consortium" (NSC), Anne Arundel Community College (AACC) engaged Hezel Associates to provide an independent program and impact evaluation of the U.S. Department of Labor (USDOL)-funded STEM certificate initiative. This report is comprehensive and covers the findings from all 4 years of the…

Today, early science education is a well-accepted view. Enhancing children's curiosity about the natural world and fostering positive attitudes toward science are primary goals of science education. However, questions remain regarding the appropriate ways to identify, nurture, and study these emotional states in pre-schoolers. This study examines…

The aim of this study is to examine middle school students' attitude towards mathematics in the context of their mathematic learning preferences using data mining which is data analysis methodology that has been successfully used in different areas including educational domains. "How do I actually learn?" questionnaire and attitude scale…