It is widely believed that regression models for binary responses are problematic if we want to compare estimated coefficients from models for different groups or with different explanatory variables. This concern has two forms. The first arises if the binary model is treated as an estimate of a model for an unobserved continuous response and the…

Basic knowledge of ideas of causal inference can help students to think beyond data, that is, to think more clearly about the data generating process. Especially for (maybe big) observational data, qualitative assumptions are important for the conclusions drawn and interpretation of the quantitative results. Concepts of causal inference can also…

Treatment effect estimates from a "regression discontinuity design" (RDD) have high internal validity. However, the arguments that support the design apply to a subpopulation that is narrower and usually different from the population of substantive interest in evaluation research. The disconnect between RDD population and the…

The "2018 Guide to New England Colleges & Universities" data published by "Boston" magazine in association with the New England Board of Higher Education provided the author the opportunity to examine the schools' "prices," defined as "tuition plus fees," as a function of several independent factors. By…

To compare the efficacy of two interventions to promote colorectal cancer screening participation and forward stage movement of colorectal cancer screening adoption among first-degree relatives of individuals diagnosed with adenomatous polyps. One hundred fifty-eight first-degree relatives of individuals diagnosed with adenomatous polyps were…

This paper presents heuristic explanations of factor scores, structure coefficients, and communality coefficients. Common misconceptions regarding these topics are clarified. In addition, (a) the regression (b) Bartlett, (c) Anderson-Rubin, and (d) Thompson methods for calculating factor scores are reviewed. Syntax necessary to execute all four…

In this article, the "Council for Exceptional Children (CEC)" presents Standards for Evidence-Based Practices in Special Education. The statement presents an approach for categorizing the evidence base of practices in special education. The quality indicators and the criteria for categorizing the evidence base of special education…

Quantitative meta-analysis is a very useful, yet underutilized, technique for synthesizing research findings in higher education. Meta-analytic inquiry can be more challenging in higher education than in other fields of study as a result of (a) concerns about the use of regression coefficients as a metric for comparing the magnitude of effects…

Studying physics for nonphysics majors at college level is usually a process of learning new problem-solving skills and sometimes seems a frustrating experience. In an attempt to provide students with more learning resources, online homework was required to supplement the instruction. This study reveals the role of the online homework assignments…

Many Chicagoans are getting shortchanged, particularly when it comes to money exchange between the Illinois Lottery (IL) and Illinois State Board of Education (ISBE). A significant portion of lottery sales is earmarked for education in Illinois. Because these revenues are not generated equally, however, some contribute more to education via the…

In the first decade of the 21st century, the New York City (NYC) Department of Education implemented a set of large-scale and much debated high school reforms, which included closing large, low-performing schools, opening new small schools, and extending high school choice to students throughout the district. The school closure process was the…

Mediation is usually assessed by a regression-based or structural equation modeling (SEM) approach that we refer to as the classical approach. This approach relies on the assumption that there are no confounders that influence both the mediator, "M", and the outcome, "Y". This assumption holds if individuals are randomly…

This article describes a simulation activity that can be used to help students see that the estimator "S" is a biased estimator of [sigma]. The activity can be implemented using either a statistical package such as R, Minitab, or a Web applet. In the activity, the students investigate and compare the bias of "S" when sampling from different…

Most automated essay scoring programs use a linear regression model to predict an essay score from several essay features. This article applied a cumulative logit model instead of the linear regression model to automated essay scoring. Comparison of the performances of the linear regression model and the cumulative logit model was performed on a…

The authors propose a method to compare the influence of a treatment on different properties within subjects. The properties are measured by several Likert-type-scaled items. The results show that many existing approaches, such as repeated measurement analysis of variance on sum and mean scores, a linear partial credit model, and a graded response…