This simulation study examines the characteristics of the Explanatory Item Response Model (EIRM) when estimating treatment effects when compared to classical test theory (CTT) sum and mean scores and item response theory (IRT)-based theta scores. Results show that the EIRM and IRT theta scores provide generally equivalent bias and false positive…

Ordinary least squares (OLS) regression and orthogonal regression (OR) address different questions and make different assumptions about errors. The OLS regression of Y on X yields predictions of a dependent variable (Y) contingent on an independent variable (X) and minimizes the sum of squared errors of prediction. It assumes that the independent…

A case study of regression analysis based on modeling Gilliland's correlation was described for use in a computational methods course. The case study uses a familiar example to train students in nonlinear least squares regression and to use standardized residual plots for model assessment. Previously published equations for Gilliland's correlation…

This paper proposes a teacher effect change model in the form of a latent variable regression 5-level hierarchical model (LVR-HM5). Using multiple years of student achievement data, the LVR-HM5 attempts to simultaneously estimate teacher effect as well as teacher initial status and the gap parameter to model the change of such latent parameters…

Large amounts of missing data could distort item parameter estimation and lead to biased ability estimates in educational assessments. Therefore, missing responses should be handled properly before estimating any parameters. In this study, two Monte Carlo simulation studies were conducted to compare the performance of four methods in handling…

The topics of correlation and linear regression constitute a complex and subtle system of statistical and mathematical ideas whose teaching-learning raises numerous practical and theoretical problems. In this research paper, the patterns of reasoning that students exhibit, under the approach of informal inferences when they face problems of…

A complex web of factors can influence whether students participate in computer science (CS) during high school. In order to increase participation in CS for all students, there is a need to better understand who is currently participating and what factors might be hindering participation. This study utilized a large-scale, student-level dataset…

This article reviews important statistical methods for estimating the impact of interventions on outcomes in education settings, particularly programs that are implemented in field, rather than laboratory, settings. We begin by describing the causal inference challenge for evaluating program effects. Then four research designs are discussed that…

Purpose: The paper focuses on exploring the influence of structural and functional characteristics of demonstrations on their effectiveness. Design/Methodology: In the framework of AgriDemo-F2F project, we analysed the responses to 345 post-demonstration questionnaires filled out by the attendees of 31 demo events held in 12 EU countries. Factor…

In a recent article in this journal, Sciffer, Perry, and McConney identify the risk of relying on insufficient within-unit variation as a serious flaw in a number of studies using student fixed effects regression to identify the effects of school socioeconomic composition (school SES) on academic achievement, including one by Armor, Marks, and…

The concept of hybrid mode education is spreading. Little research compares hybrid teaching modes to online and all in person (AIP) teaching modes. Nearly all this research assumes that there is no difference in the students entering AIP, hybrid, or online sections of a course. This study used data from four years of all the courses in the Coles…

Faculty development is a key priority for academic institutions in the United States. Often, centers for teaching and learning lead this work, but increasingly, librarians provide professional development for their teaching faculty colleagues. This study examines academic librarians' leadership of faculty development initiatives at their…

Undergraduate student participation in out-of-class activities yields a range of documented benefits and represents an area of study that can inform efforts to increase persistence in science, technology, engineering or mathematics (STEM) majors, particularly for underrepresented groups. This study was designed to explore the impact of selected…

We investigate the reliability of data from the Wage Indicator (WI), the largest online survey on earnings and working conditions. Comparing WI to nationally representative data sources for 17 countries reveals that participants of WI are not likely to have been representatively drawn from the respective populations. Previous literature has…

Background: Promise programs are place-based financial aid awards that seek to promote postsecondary attainment by covering all or nearly all college tuition costs. In 2015 Oregon became the second state in the country after Tennessee to implement a statewide promise program (Higher Education Coordinating Commission [HECC], 2020). Oregon Promise…