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Sales, Adam C.; Hansen, Ben B.; Rowan, Brian – Journal of Educational and Behavioral Statistics, 2018
In causal matching designs, some control subjects are often left unmatched, and some covariates are often left unmodeled. This article introduces "rebar," a method using high-dimensional modeling to incorporate these commonly discarded data without sacrificing the integrity of the matching design. After constructing a match, a researcher…
Descriptors: Computation, Prediction, Models, Data
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Zhang, Liang-Cheng; Worthington, Andrew C. – Research in Higher Education, 2018
Numerous studies have investigated economies of scale and scope in higher education as a means of providing public and private providers of college and university teaching, research and other services and their stakeholders with knowledge of the cost structures that underpin provision in this economically and socially important sector. However,…
Descriptors: Economics, Higher Education, Meta Analysis, Regression (Statistics)
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Douven, Igor; Mirabile, Patricia – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2018
There is a wealth of evidence that people's reasoning is influenced by explanatory considerations. Little is known, however, about the exact form this influence takes, for instance about whether the influence is unsystematic or because of people's following some rule. Three experiments investigate the descriptive adequacy of a precise proposal to…
Descriptors: Probability, Bayesian Statistics, Hypothesis Testing, Thinking Skills
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Macnamara, Brooke N.; Frank, David J. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2018
For well over a century, scientists have investigated individual differences in performance. The majority of studies have focused on either differences in practice, or differences in cognitive resources. However, the predictive ability of either practice or cognitive resources varies considerably across tasks. We are the first to examine task…
Descriptors: Learning, Performance, Cognitive Processes, Difficulty Level
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Hemmert, Giselmar A. J.; Schons, Laura M.; Wieseke, Jan; Schimmelpfennig, Heiko – Sociological Methods & Research, 2018
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…
Descriptors: Regression (Statistics), Sample Size, Predictor Variables, Benchmarking
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Berenson, Mark L.; Koppel, Nicole B.; Lord, Richard A.; Chapdelaine, Laura L. – Journal of Statistics Education, 2018
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…
Descriptors: Statistics, Investment, Introductory Courses, Business Administration Education
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O'Roark, Brian; Grant, William – Journal of Economic Education, 2018
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…
Descriptors: Game Theory, Teaching Methods, Cartoons, Picture Books
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Bruns, Kristin L.; Letcher, Amber – Journal of College Counseling, 2018
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…
Descriptors: Predictor Variables, Suicide, At Risk Students, Graduate Students
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Keefe, Kristy M.; Sizemore, Shane; Hammersley, Jonathan; Sunami, Naoyuki – Journal of College Counseling, 2018
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…
Descriptors: Rape, Suicide, Psychological Patterns, Self Destructive Behavior
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Schulz, Eric; Konstantinidis, Emmanouil; Speekenbrink, Maarten – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2018
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…
Descriptors: Learning, Decision Making, Context Effect, Rewards
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Siegelman, Noam; Bogaerts, Louisa; Kronenfeld, Ofer; Frost, Ram – Cognitive Science, 2018
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…
Descriptors: Statistics, Learning Processes, Visual Learning, Learning Modalities
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de Oliveira, Clarissa Tochetto; Haddad, Emily Jean; Dias, Ana Cristina Garcia; Teixeira, Marco Antônio Pereira; Koller, Sílvia Helena – Journal of College Student Development, 2018
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…
Descriptors: Affirmative Action, Foreign Countries, Student Adjustment, Undergraduate Students
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Gibson, David; Broadley, Tania; Downie, Jill; Wallet, Peter – Educational Technology & Society, 2018
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…
Descriptors: Models, Information Technology, Data Collection, Statistics
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Nordstokke, David W.; Colp, S. Mitchell – Practical Assessment, Research & Evaluation, 2018
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…
Descriptors: Nonparametric Statistics, Statistical Analysis, Monte Carlo Methods, Sample Size
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Lesser, Lawrence M. – Teaching Statistics: An International Journal for Teachers, 2018
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).
Descriptors: Misconceptions, Singing, Statistics, Correlation
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