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Kosei Fukuda – Teaching Statistics: An International Journal for Teachers, 2024
In statistics classes, the central limit theorem has been demonstrated using simulation-based illustrations. Known population distributions such as a uniform or exponential distribution are often used to consider the behavior of the sample mean in simulated samples. Unlike such simulations, a number of real-data-based simulations are here…
Descriptors: Foreign Countries, Business, Business Administration Education, Sample Size
Huang, Francis L. – Journal of Experimental Education, 2022
Experiments in psychology or education often use logistic regression models (LRMs) when analyzing binary outcomes. However, a challenge with LRMs is that results are generally difficult to understand. We present alternatives to LRMs in the analysis of experiments and discuss the linear probability model, the log-binomial model, and the modified…
Descriptors: Regression (Statistics), Monte Carlo Methods, Probability, Error Patterns
Myoung-jae Lee; Goeun Lee; Jin-young Choi – Sociological Methods & Research, 2025
A linear model is often used to find the effect of a binary treatment D on a noncontinuous outcome Y with covariates X. Particularly, a binary Y gives the popular "linear probability model (LPM)," but the linear model is untenable if X contains a continuous regressor. This raises the question: what kind of treatment effect does the…
Descriptors: Probability, Least Squares Statistics, Regression (Statistics), Causal Models
Ming-Chi Tseng – Structural Equation Modeling: A Multidisciplinary Journal, 2024
The primary objective of this investigation is the formulation of random intercept latent profile transition analysis (RI-LPTA). Our simulation investigation suggests that the election between LPTA and RI-LPTA for examination has negligible impact on the estimation of transition probability parameters when the population parameters are generated…
Descriptors: Monte Carlo Methods, Predictor Variables, Research Methodology, Test Bias
Omar Abu-Ghalyoun; Adnan Al-Abed – Teaching Statistics: An International Journal for Teachers, 2024
This study investigates a range of non-normative ideas that pre-service teachers (PSTs) employ in reasoning about sampling variability. This issue was studied in the context of a content course on statistics and probability for pre-service middle grade teachers at a Midwestern American university. Analysis of seven PSTs' video and screen records…
Descriptors: Preservice Teachers, Middle School Teachers, Teacher Characteristics, Knowledge Level
Gabriele Morganti; Alexandra Lascu; Gennaro Apollaro; Laura Pantanella; Mario Esposito; Alberto Grossi; Bruno Ruscello – Sport, Education and Society, 2024
Talent identification and development systems (TIDS) adopt a deterministic perspective (i.e. athletes' future state/performances can be predicted by observations of their initial state/performance), which encourages early identification and specialisation in sport. In this framework, the main aim of sport systems is to enhance predictability and…
Descriptors: Talent Identification, Talent Development, Athletics, Athletes
Lisa J. Elliott; Joan Middendorf – International Journal for the Scholarship of Teaching and Learning, 2024
Teaching and learning undergraduate statistics has been a most challenging task for undergraduate psychology majors (Salkind, 2017). A seasoned statistics instructor consulted with a seasoned instructional designer on a method to improve a particularly demanding course using a performance improvement approach to address learning difficulties she…
Descriptors: Undergraduate Students, Psychological Studies, Statistics Education, Teaching Methods
Gilbert, William; Bureau, Julien S.; Diallo, Abdoul; Morin, Alexandre J. S.; Guay, Frédéric – British Journal of Educational Psychology, 2023
Background: Universities faced important and sudden changes following the lockdown measures imposed during the COVID-19 pandemic. Traditional educational practices were disrupted as campuses were closed while distance learning was hastily adopted. Aims: This study documents the evolution of university students' autonomous and controlled motivation…
Descriptors: Undergraduate Students, Student Motivation, Profiles, COVID-19
Kubit, Benjamin M.; Janata, Petr – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
Involuntary musical imagery (INMI; more commonly known as "earworms" or having a song "stuck in your head") is a common musical phenomenon and one of the most salient examples of spontaneous cognition. Despite the ubiquitous nature of INMI in the general population, functional roles of INMI remain to be fully established and…
Descriptors: Music, Memory, Probability, Novelty (Stimulus Dimension)
Ana Daniela Ortega-Ramírez; Efrén Murillo-Zamora; Benjamín Trujillo-Hernández; Karla Berenice Carrazco-Peña; Carmen Alicia Sánchez-Ramírez – Early Child Development and Care, 2024
This study aimed to identify whether appetitive traits predict exclusive breastfeeding (EBF) duration for the first 6 months of life and to assess other predictors of its duration. 186 six- month-old term infants were included. Appetitive traits were assessed at 3-4 months of age. EBF duration, feeding practices, sex, maternal age and education,…
Descriptors: Infants, Nutrition, Predictor Variables, Age Differences
Magnus, Brooke E.; Liu, Yang – Educational and Psychological Measurement, 2022
Questionnaires inquiring about psychopathology symptoms often produce data with excess zeros or the equivalent (e.g., none, never, and not at all). This type of zero inflation is especially common in nonclinical samples in which many people do not exhibit psychopathology, and if unaccounted for, can result in biased parameter estimates when…
Descriptors: Symptoms (Individual Disorders), Psychopathology, Research Methodology, Probability
Anderson, Darcie L.; Hooks, Tisha – Journal of College Student Retention: Research, Theory & Practice, 2022
With limited budgets and increasing enrollment demands, colleges need fast, free, and practical solutions supporting academic success and retention. The Academic Reality Check (ARC) tool helps to predict traditional freshmen awareness of their own academic expectations in college quickly, supporting the financial investment being made by all…
Descriptors: College Freshmen, Expectation, Predictor Variables, Academic Achievement
Roberts, Nicola – Journal of Further and Higher Education, 2023
Globally, statistical analyses have found a range of variables that predict the odds of first-year students failing to progress at their Higher Education Institution (HEI). Some of these studies have included students from a range of disciplines. Yet despite the rise in the number of criminology students in HEIs in the UK, little statistical…
Descriptors: Predictor Variables, Academic Achievement, Academic Failure, College Freshmen
Nicholas A. Gage; Richard E. Mattison; Antonis Katsiyannis – Education and Treatment of Children, 2023
The U.S. Department of Education's Office of Special Education Programs collects information from all states on the education of students with disabilities, including the number of students that exit special education and transfer back to general education. Yet, little is known about students that are declassified. In this study, we used data from…
Descriptors: Special Education, General Education, Regular and Special Education Relationship, Mainstreaming
Ye, Rebecca; Chudnovskaya, Margarita; Nylander, Erik – Adult Education Quarterly: A Journal of Research and Theory, 2022
It is well established that participation in formal adult education varies by individual background characteristics. However, less attention has been paid to examining inequality in participation as a consequence of policy changes, such as educational expansion. This paper examines the process of tremendous expansion in Swedish Higher Vocational…
Descriptors: Foreign Countries, Vocational Education, Adult Vocational Education, Higher Education