Conventionally, regression discontinuity analysis contrasts a univariate regression's limits as its independent variable, "R," approaches a cut point, "c," from either side. Alternative methods target the average treatment effect in a small region around "c," at the cost of an assumption that treatment assignment,…

Assessment for learning (AfL) has become a widespread approach across many educational systems. To date, AfL research has emphasized teachers' knowledge, skills, and practices, with few studies examining students' responses to an AfL pedagogical approach. The purpose of this research was to focus directly on students' perspectives on their use and…

Biased sampling occurs frequently in economics, epidemiology, and medical studies either by design or due to data collecting mechanism. Failing to take into account the sampling bias usually leads to incorrect inference. We propose a unified estimation procedure and a computationally fast resampling method to make statistical inference for…

Instruments designed to track student changes in higher education are essential for monitoring program development in competitive higher education markets. As part of a developmental evaluation, a student questionnaire was developed and piloted to examine attrition rates in college programs. The purpose of the questionnaire was to explore factors…

The term "data snooping" refers to the practice of choosing which statistical analyses to apply to a set of data after having first looked at those data. Data snooping contradicts a fundamental precept of applied statistics, that the scheme of analysis is to be planned in advance. In this column, the authors shall elucidate the…

Research in mathematics education stresses the importance of content knowledge in solving authentic tasks in statistics and in risk-based decision making. Existing research supports the claim that students rely on content knowledge and context expertise to make sense of data. In this article, however, I present evidence that the relationship…

We surveyed researchers in the health and exercise sciences to explore different areas and magnitudes of bias in researchers' decision making. Participants were presented with scenarios (testing a central hypothesis with p = 0.06 or p = 0.04) in a random order and surveyed about what they would do in each scenario. Participants showed significant…

Perfectionistic concerns (i.e., negative reactions to failures, concerns over others' criticism and expectations, and nagging self-doubts) are a putative risk factor for depressive symptoms. This study proposes and supports the existential model of perfectionism and depressive symptoms (EMPDS), a conceptual model aimed at explaining why…