The literature proposes numerous so-called pseudo-R[superscript 2] measures for evaluating "goodness of fit" in regression models with categorical dependent variables. Unlike ordinary least square-R[superscript 2], log-likelihood-based pseudo-R[superscript 2]s do not represent the proportion of explained variance but rather the…

Typically, the core-required undergraduate business statistics course covers a broad spectrum of topics with applications pertaining to all functional areas of business. The recently updated American Statistical Association's GAISE (Guidelines for Assessment and Instruction in Statistics Education) College Report once again stresses the…

The valuable insights of game theory sometimes remain out of reach for students who are overwhelmed by the subject's complexity. Comic book applications of game theory, with superheroes as players, can facilitate enthusiasm and classroom interaction to enhance the learning of game theory. Drawing from content in superhero movies and books, the…

The purpose of this study was to examine protective factors as predictors of suicide risk among graduate students (n = 413) at a large midwestern university. Using binary logistic regression, the authors assigned students to risk classifications (i.e., nonrisk group or suicide risk group). Results indicated emotional stability as the strongest…

Sexual assault and suicide are 2 of many issues facing college students. Recent research calls for an examination of anger in suicidal behavior. Through a series of moderated logistic regression models, the authors examined the moderating effects of anger on the association of recent sexual assault and suicidal behaviors. Results support the…

The authors introduce the contextual multi-armed bandit task as a framework to investigate learning and decision making in uncertain environments. In this novel paradigm, participants repeatedly choose between multiple options in order to maximize their rewards. The options are described by a number of contextual features which are predictive of…

From a theoretical perspective, most discussions of statistical learning (SL) have focused on the possible "statistical" properties that are the object of learning. Much less attention has been given to defining what "learning" is in the context of "statistical learning." One major difficulty is that SL research has…

We tested differences in college adjustment between students admitted to a Brazilian undergraduate university through the standard entrance process (nonquota students), and those admitted under the affirmative action selection process (quota students). Participants consisted of 494 college students (27.1% quota students) from 2 public universities…

The UNESCO Institute for Statistics (UIS) has been measuring ICT in education since 2009, but with such rapid change in technology and its use in education, it is important now to revise the collection mechanisms to focus on how technology is being used to enhance learning and teaching. Sustainable development goal (SDG) 4, for example, moves…

Often, when testing for shift in location, researchers will utilize nonparametric statistical tests in place of their parametric counterparts when there is evidence or belief that the assumptions of the parametric test are not met (i.e., normally distributed dependent variables). An underlying and often unattended to assumption of nonparametric…

This literature-based, classroom-tested novel innovation of educational song (with pedagogical scaffolding) may help engage students explore and address common resistant misconceptions in probability (e.g. all outcomes are equally likely) and in statistics (e.g. correlation must imply either causation or coincidence).

The patterns of cumulated structured volleyball practice and other structured sports activities of elite adult Brazilian players, considering age of specialization in volleyball and achievement of international competition representing the national team, were examined using Bayesian multilevel models. Elite volleyball players (n = 78) with an…

This paper explores the implementation of service-learning projects in a survey sampling statistics course. In these projects, students worked with a community partner to develop and administer a survey, analyze the data collected, and present the results. A study with 23 participants was conducted to investigate whether students' attitudes…

Mathematical competency is related to performance in introductory statistics courses and may be a roadblock to successful course completion. We developed a new measure (Math Assessment for College Students, MACS) of basic mathematics skills that improves upon measures previously used in undergraduate settings. The MACS is freely available and…

Data from student learning provide learning curves that, ideally, demonstrate improvement in student performance over time. Existing data mining methods can leverage these data to characterize and improve the domain models that support a learning environment, and these methods have been validated both with already-collected data, and in…