Current consensus holds that blended learning offers students many advantages such as improving their learning outcomes and attitude toward the study of statistics. However, its effect on non-statistics students' performance in a one-semester introductory course has not been widely studied. This study explored the effect of the blended…

This study employed propensity score matching and regression analysis to determine whether or not a retention scholarship pilot program at a mid-size public research university was effective at increasing first-year retention. The scholarship pilot did not require any application process for students but rather used a predictive logistic…

In this study, which aims to examine the effect of self-esteem levels of students who receive sports management education on their leadership orientation, the population of this study, in which the related screening method is used among quantitative research designs, consists of students studying at the Sports Management departments of the Sports…

This study examined the effect of multicultural acceptance on social problem solving in a sample of 159 university students in South Korea. A simple regression analysis revealed that multicultural acceptance significantly predicted social problem solving. Specifically, multicultural acceptance positively predicted positive problem orientation and…

An important problem in higher education is to find the most suitable admission procedure that can distinguish between students with high academic potential and future dropouts. Admissions usually rely on pre-enrolment achievement measures; therefore, it is crucial that these selection criteria have high predictive validity on academic…

In this study we looked at how participation in a peer-review process for online Statistics courses utilizing a master course model at a major research university affects instructor innovation and instructor presence. We used online, anonymous surveys to collect data from instructors who participated in the peer-review process, and we used…

The purpose of this retrospective study was to test the association of simple timeliness measures with academic performance in an online quantitative reasoning course using data extracted from gradebooks (N = 157). Guided by the Social Cognitive Model, timeliness was assumed to be a consistent behavior chosen by the student based on personal goals…

The 21st century is referred to as the digital age, which places demands not only on the ability to work with information but also on being able to understand them as well as evaluate its relevance. The aim of this paper was to find out how ICT competences affect the individual domains of critical thinking in university students. The sample…

This appendix supplements the report "Stackable Credential Pipelines in Ohio: Evidence on Programs and Earnings Outcomes" (ED613593). In the appendix, the authors provide more details about the data and empirical approach, additional information about the samples, and some alternative results from analyses related to those that appear in…

An intelligent textbook may be defined as an interaction layer between the text and the student, helping the student master the content in the text. The Mobile Fact and Concept Training System (MoFaCTS) is an adaptive instructional system for simple content that has been developed into an interaction layer to mediate textbook instruction and so is…

In this paper, we provide an introduction to the factored regression framework. This modeling framework applies the rules of probability to break up or "factor" a complex joint distribution into a product of conditional regression models. Using this framework, we can easily specify the complex multivariate models that missing data…

In standard statistical data analysis, the effects of intervention or prevention efforts are evaluated in terms of variable relations. Results from application of regression-type methods suggest whether, overall, intervention is successful. In this article, we propose using configural frequency analysis (CFA) either in tandem with regression-type…

Introduction: Differences-in-Differences (DD) is a commonly-used approach in policy evaluation for identifying the impact of an intervention or treatment. Under a parallel trend assumption (PTA), we can recover a causal effect by comparing the difference in outcomes between a treatment and a control group, both before and after an intervention was…

Curriculum-Based Measurement of Oral Reading (CBM-R) is often used to monitor student progress and guide educational decisions. Ordinary least squares regression (OLSR) is the most widely used method to estimate the slope, or rate of improvement (ROI), even though published research demonstrates OLSR's lack of validity and reliability, and…

Some IRT models can be equivalently modeled in alternative frameworks such as logistic regression. Logistic regression can also model time-to-event data, which concerns the probability of an event occurring over time. Using the relation between time-to-event models and logistic regression and the relation between logistic regression and IRT, this…