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Barb Bennie; Richard A. Erickson – Journal of Statistics and Data Science Education, 2024
Effective undergraduate statistical education requires training using real-world data. Textbook datasets seldom match the complexities and messiness of real-world data and finding these datasets can be challenging for educators. Consulting and industrial datasets often have nondisclosure agreements. Academic datasets often require subject area…
Descriptors: Undergraduate Students, Statistics Education, Data Science, Earth Science
Minghui Wang; Meagan Sundstrom; Karen Nylund-Gibson; Marsha Ing – Physical Review Physics Education Research, 2025
Clustering methods are often used in physics education research (PER) to identify subgroups of individuals within a population who share similar response patterns or characteristics. Among these, k-means (or k-modes, for categorical data) is one of the most commonly used clustering methods in PER. This algorithm, however, is distance-based rather…
Descriptors: Physics, Science Education, Educational Research, Multivariate Analysis
Thompson, W. Burt – Teaching of Psychology, 2019
When a psychologist announces a new research finding, it is often based on a rejected null hypothesis. However, if that hypothesis is true, the claim is a false alarm. Many students mistakenly believe that the probability of committing a false alarm equals alpha, the criterion for statistical significance, which is typically set at 5%. Instructors…
Descriptors: Statistical Analysis, Hypothesis Testing, Misconceptions, Data Interpretation
Sampaio, Cristina; Wang, Ranxiao Frances – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2017
Recall of remembered locations reliably reflects a compromise between a target's true position and its region's prototypical position. The effect is quite robust, and a standard interpretation for these data is that the metric and categorical codings blend in a Bayesian combinatory fashion. However, there has been no direct experimental evidence…
Descriptors: Spatial Ability, Memory, Bayesian Statistics, Probability
Meiser, Thorsten; Rummel, Jan; Fleig, Hanna – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2018
Pseudocontingencies are inferences about correlations in the environment that are formed on the basis of statistical regularities like skewed base rates or varying base rates across environmental contexts. Previous research has demonstrated that pseudocontingencies provide a pervasive mechanism of inductive inference in numerous social judgment…
Descriptors: Inferences, Correlation, Decision Making, Probability
Liebler, Robert – College Student Journal, 2017
Data from published studies is used to recover information about the sample mean self-reported number of times cheated by college students. The sample means were estimated by fitting distributions to the reported data. The few estimated sample means thus recovered were roughly 2 or less.
Descriptors: Cheating, Student Behavior, Undergraduate Students, Student Surveys
Vogel, Tobias; Carr, Evan W.; Davis, Tyler; Winkielman, Piotr – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2018
Stimuli that capture the central tendency of presented exemplars are often preferred--a phenomenon also known as the classic beauty-in-averageness effect. However, recent studies have shown that this effect can reverse under certain conditions. We propose that a key variable for such ugliness-in-averageness effects is the category structure of the…
Descriptors: Interpersonal Attraction, Preferences, Stimuli, Experiments
Starns, Jeffrey J.; Ma, Qiuli – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2018
The two-high-threshold (2HT) model of recognition memory assumes that people make memory errors because they fail to retrieve information from memory and make a guess, whereas the continuous unequal-variance (UV) model and the low-threshold (LT) model assume that people make memory errors because they retrieve misleading information from memory.…
Descriptors: Guessing (Tests), Recognition (Psychology), Memory, Tests
Palmer, Jane E.; St. Vil, Noelle M. – NASPA Journal About Women in Higher Education, 2018
Due to the Title IX law, administrators at institutions of higher education (IHE) in the United States must promptly investigate reports of sexual assault. In addition, the Clery Act requires IHEs to publicly disclose annual sexual assault statistics. However, it is unknown whether--or how--sexual assault disclosure differs by type of IHE. This…
Descriptors: Sexual Abuse, Disclosure, Females, Black Colleges
Jones, C. M.; Green, J. P.; Higson, H. E. – Studies in Higher Education, 2017
This study investigates whether the completion of an optional sandwich work placement enhances student performance in final year examinations. Using Propensity Score Matching, our analysis departs from the literature by controlling for self-selection. Previous studies may have overestimated the impact of sandwich work placements on performance…
Descriptors: Academic Achievement, Job Placement, Foreign Countries, Universities
Krieger, Heather; Serrano, Surizaday; Neighbors, Clayton – Journal of College Student Development, 2017
We examined the role of self-efficacy in preventing bystander inaction in dangerous alcohol situations. Participants (N = 504) completed an online survey that assessed whether they had previously witnessed or intervened in alcohol-related emergencies, their self-efficacy for intervening, and their likelihood of intervening in the future.…
Descriptors: Undergraduate Students, Student Surveys, Online Surveys, Self Efficacy
Primi, Caterina; Donati, Maria Anna; Chiesi, Francesca – Statistics Education Research Journal, 2016
Among the wide range of factors related to the acquisition of statistical knowledge, competence in basic mathematics, including basic probability, has received much attention. In this study, a mediation model was estimated to derive the total, direct, and indirect effects of mathematical competence on statistics achievement taking into account…
Descriptors: Models, Mathematics Skills, Probability, Statistics
Harrison, David J.; Saito, Laurel; Markee, Nancy; Herzog, Serge – European Journal of Engineering Education, 2017
To examine the impact of a hybrid-flipped model utilising active learning techniques, the researchers inverted one section of an undergraduate fluid mechanics course, reduced seat time, and engaged in active learning sessions in the classroom. We compared this model to the traditional section on four performance measures. We employed a propensity…
Descriptors: Mechanics (Physics), Science Instruction, Blended Learning, Instructional Effectiveness
Anupam, Aditya; Gupta, Ridhima; Naeemi, Azad; JafariNaimi, Nassim – IEEE Transactions on Education, 2018
Quantum mechanics (QMs) is a foundational subject in many science and engineering fields. It is difficult to teach, however, as it requires a fundamental revision of the assumptions and laws of classical physics and probability. Furthermore, introductory QM courses and texts predominantly focus on the mathematical formulations of the subject and…
Descriptors: Quantum Mechanics, Experiential Learning, Introductory Courses, Educational Games
Bradley, Sean – Journal of Statistics Education, 2015
Can individuals guess the gender of a writer based on a sample of his or her handwriting? We administer an electronic survey twice to the same individuals to find out. The resulting data set is interesting to students, rich enough to be amenable to a wide array of activities, and open to a variety of exploratory tacks for statistics students and…
Descriptors: Handwriting, Gender Differences, Student Research, Research Skills

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