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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
Niu, Lian – Educational Review, 2020
This study reviews the international literature of empirical educational research to examine the application of logistic regression. The aim is to examine common practices of the report and interpretation of logistic regression results, and to discuss the implications for educational research. A review of 130 studies suggests that: (a) the…
Descriptors: Regression (Statistics), Educational Research, Statistical Significance, Predictor Variables
Powell, Marvin G.; Hull, Darrell M.; Beaujean, A. Alexander – Journal of Experimental Education, 2020
Randomized controlled trials are not always feasible in educational research, so researchers must use alternative methods to study treatment effects. Propensity score matching is one such method for observational studies that has shown considerable growth in popularity since it was first introduced in the early 1980s. This paper outlines the…
Descriptors: Probability, Scores, Observation, Educational Research
Using Logistic Regression Model to Identify Student Characteristics to Tailor Graduation Initiatives
Chatterjee, Ayona; Marachi, Christine; Natekar, Shruti; Rai, Chinki; Yeung, Fanny – College Student Journal, 2018
Improving graduation rates is one of the biggest missions in many universities across the country and it is surely the case on the campus of this institution. The work here presents a statistical tool box to use early academic performance as a predictor for graduation with logistic regression and machine learning techniques. The methods described…
Descriptors: Regression (Statistics), Student Characteristics, Graduation, Probability
Leech, Kathryn A.; Ratner, Nan Bernstein; Brown, Barbara; Weber, Christine M. – Journal of Speech, Language, and Hearing Research, 2017
Purpose: Childhood stuttering is common but is often outgrown. Children whose stuttering persists experience significant life impacts, calling for a better understanding of what factors may underlie eventual recovery. In previous research, language ability has been shown to differentiate children who stutter (CWS) from children who do not stutter,…
Descriptors: Stuttering, Children, Predictor Variables, Probability
Adkins, Michael; Noyes, Andrew – International Journal of Science and Mathematics Education, 2018
The mathematical preparedness of science undergraduates has been a subject of debate for some time. This paper investigates the relationship between school mathematics attainment and degree outcomes in biology and chemistry across England, a much larger scale of analysis than has hitherto been reported in the literature. A unique dataset which…
Descriptors: Foreign Countries, Mathematics Achievement, Biology, Chemistry
Ling, Jizhi; Radunzel, Justine – ACT, Inc., 2017
A majority of high school graduates aspire to earn a college degree (ACT, 2016), yet many students are graduating from high school unprepared to do college-level work. As a result, about one-third of college freshmen enroll in at least one developmental course upon entry to college (Skomsvold, 2014). Because developmental courses are often not…
Descriptors: High School Graduates, College Readiness, Probability, Student Characteristics
Arikan, Serkan; van de Vijver, Fons J. R.; Yagmur, Kutlay – International Journal of Research in Education and Science, 2018
We examined Differential Item Functioning (DIF) and the size of cross-cultural performance differences in the Programme for International Student Assessment (PISA) 2012 mathematics data before and after application of propensity score matching. The mathematics performance of Indonesian, Turkish, Australian, and Dutch students on released items was…
Descriptors: Probability, Test Bias, Mathematics Instruction, Foreign Countries
Shaw, Alissa Campbell – ProQuest LLC, 2017
Two binary logistic regression analyses were conducted across survey data from 254 master's-level graduates to answer research questions about predicting Willingness to Give to their graduate alma mater and predicting Actual Alumni Giving behavior to their graduate alma mater. The predictor variables are dimensions from the community of inquiry…
Descriptors: Alumni, Graduate Students, Private Financial Support, Educational Finance
Gill, Tim – Research Papers in Education, 2018
In the UK, students who want to progress to higher education have a number of possible pathways at age 16. The most common of these is traditional, academic focussed, 'A' levels, but increasingly students are taking alternative qualifications (e.g. BTECs, IB, Pre-U). The focus of this research is to infer which (if any) of these qualifications are…
Descriptors: Statistical Analysis, Comparative Analysis, College Readiness, College Preparation
Hignite, Lance R.; Marshall, Shantal; Naumann, Laura – College Student Journal, 2018
Despite relatively low levels of crime on campus, college and university students are not immune from criminal victimization. Students' levels of fear of crime on campus, perceptions regarding the likelihood of victimization, and confidence in campus police, shape their decisions to engage in specific avoidance and protective behaviors. This study…
Descriptors: College Students, Student Attitudes, Student Behavior, Student Experience
Niu, Lian – World Journal of Education, 2016
This study analyzes data of the Educational Longitudinal Study of 2002 to examine the association between parental provision of task-extrinsic rewards for academic performance, parent involvement in students' learning, and students' choice of study field in college. Results show that frequent receipt of task-extrinsic rewards for good grades from…
Descriptors: Parent Participation, Parent Aspiration, Majors (Students), Course Selection (Students)
Kopanidis, Foula Zografina; Shaw, Michael John – Education & Training, 2017
Purpose: Educational institutions are caught between increasing their offer rates and attracting and retaining those prospective students who are most suited to course completion. The purpose of this paper is to demonstrate the influence of demographic and psychological constructs on students' preferences when choosing to study in a particular…
Descriptors: Student Attitudes, Course Selection (Students), Preferences, Models
Lee, Young-Jin – International Journal of Information and Learning Technology, 2017
Purpose: The purpose of this paper is to develop a quantitative model of problem solving performance of students in the computer-based mathematics learning environment. Design/methodology/approach: Regularized logistic regression was used to create a quantitative model of problem solving performance of students that predicts whether students can…
Descriptors: Problem Solving, Educational Environment, Mathematics Instruction, Computer Assisted Instruction