We present a short, inquiry-based learning course on concepts and methods underlying ordinary least squares (OLS), least absolute deviation (LAD), and quantile regression (QR). Students investigate squared, absolute, and weighted absolute distance functions (metrics) as location measures. Using differential calculus and properties of convex…

Multilayer perceptron neural networks, Gaussian naive Bayes, and logistic regression classifiers were compared when used to make early predictions regarding one-year college student persistence. Two iterations of each model were built, utilizing a grid search process within 10-fold cross-validation in order to tune model parameters for optimal…

Specialized imputation routines for multilevel data are widely available in software packages, but these methods are generally not equipped to handle a wide range of complexities that are typical of behavioral science data. In particular, existing imputation schemes differ in their ability to handle random slopes, categorical variables,…

Recent estimates show nearly 90% of school districts nationwide offer some form of online credit recovery. Despite its widespread adoption, there is a dearth of research surrounding the suitability of online credit recovery for students. This study examined potential success factors of students enrolled in virtual recovery courses in a school…

The education of physicists requires annual progress in mathematics through grades K-12, continuing on to high school physics, undergraduate instruction, and often many years of postgraduate study. The traditional domain of physics education research is the study of pedagogical techniques for a single lesson or a single course, but the physics and…

Knowledge components (KCs) define the underlying skill model of intelligent educational software, and they are critical to understanding and improving the efficacy of learning technology. In this research, we show how learning curve analysis is used to fit a KC model--one that was created after use of the learning technology--which can then be…

The K-12 Spring 2020 COVID-19 school closures saw teachers move into an online learning environment, and use their knowledge of technology, pedagogy, and content (TPACK) to develop online learning for the remainder of the school year. The purpose of this study was to examine the relationship between teachers' self-efficacy as measured by TPACK and…

High school graduation rates in the United States are at an all-time high, yet many of these graduates are deemed not ready for postsecondary coursework when they enter college. This study examines the short-, medium-, and long-term effects of remedial courses in middle school using a regression discontinuity design. While the short-term test…

We perform two approaches of machine learning, logistic regressions and decision trees, to predict student dropout at the Karlsruhe Institute of Technology (KIT). The models are computed on the basis of examination data, i.e. data available at all universities without the need of specific collection. Therefore, we propose a methodical approach…

This paper studies the influence diagnostics in meta-regression model including case deletion diagnostic and local influence analysis. We derive the subset deletion formulae for the estimation of regression coefficient and heterogeneity variance and obtain the corresponding influence measures. The DerSimonian and Laird estimation and maximum…

The current study uses the data of Education Longitudinal Study of 2002 (ELS: 2002) to examine patterns of choice of STEM majors in college by students from different family socioeconomic (SES) backgrounds. Logistic regression results show that low-SES students are disadvantaged in the pursuit of STEM majors. Higher family SES compensates for…

Higher education institutions have experienced an increase in student enrolment over the past decades. At the same time, universities increasingly attempt to attract students by offering a variety of study programmes. Using a Dutch panel data set of 1300 programmes in 50 institutions, this study investigates what explains the attractiveness of…

Purpose: In response to a perceived need for research investigating the relatively less-explored role of supervisor support as a moderator in the transfer mechanism, this paper aims to empirically examine the influence of transfer design on transfer of training and also the moderating role of supervisor support between these constructs.…

Randomized controlled trials (RCTs) and quasi-experimental designs like regression discontinuity (RD) designs, instrumental variable (IV) designs, and matching and propensity score (PS) designs are frequently used for inferring causal effects. It is well known that the features of these designs facilitate the identification of a causal estimand…

This article describes the results of an experiment designed to examine the impact of the use and amount of delayed unconditional incentives in a mixed mode (push to web) supplement on response rates, response mode, data quality, and sample bias. The supplement was administered to individuals who participate in the U.S. Panel Study of Income…