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Walter P. Vispoel; Hyeri Hong; Hyeryung Lee – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Although generalizability theory (GT) designs typically are analyzed using analysis of variance (ANOVA) procedures, they also can be integrated into structural equation models (SEMs). In this tutorial, we review basic concepts for conducting univariate and multivariate GT analyses and demonstrate advantages of doing such analyses within SEM…
Descriptors: Structural Equation Models, Self Concept Measures, Self Esteem, Generalizability Theory
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
Valero-Mora, Pedro; Rodrigo, María F.; Sanchez, Mar; SanMartin, Jaime – Practical Assessment, Research & Evaluation, 2019
Missing data patterns are the combinations in which the variables with missing values occur. Exploring these patterns in multivariate data can be very useful but there are few specialized tools. The current paper presents a plot that includes relevant information for visualizing these patterns. The plot is also dynamic-interactive; so, selecting…
Descriptors: Data, Multivariate Analysis, Visual Aids, Statistical Analysis
Abdulkadir Palanci; Rabia Meryem Yilmaz; Zeynep Turan – Education and Information Technologies, 2024
This study aims to reveal the main trends and findings of the studies examining the use of learning analytics in distance education. For this purpose, journal articles indexed in the SSCI index in the Web of Science database were reviewed, and a total of 400 journal articles were analysed within the scope of this study. The systematic review…
Descriptors: Learning Analytics, Distance Education, Educational Trends, Periodicals
Aydin, Serhat; Selçuk, Gülenaz; Çakmak, Altan – Acta Didactica Napocensia, 2018
In this study canonical correlation between preservice teachers' life-long learning beliefs and epistemological beliefs were investigated. Canonical correlation analysis might explain the relationships between two data clusters containing more than one variable (Tatlidil, 1996) and from that aspect, it is more advantageous than simple correlation…
Descriptors: Beliefs, Preservice Teachers, Epistemology, Lifelong Learning
Bhansali, Archita H.; Sangani, Darshan S.; Mhatre, Shivani K.; Sansgiry, Sujit S. – Journal of American College Health, 2018
Objective: To compare three over-the-counter (OTC) Drug Facts panel versions for information processing optimization among college students.Participants: University of Houston students (N = 210) participated in a cross-sectional survey from January to May 2010.Methods: A current FDA label was compared to two experimental labels developed using the…
Descriptors: Information Processing, College Students, Drug Use, Case Studies
Shangguan, Rulan; Keating, Xiaofen Deng; Liu, Jingwen; Zhou, Ke; Clark, Langston; Leitner, Jessica – College Student Journal, 2017
Conceptual physical education (CPE) courses play a critical role in promoting physical activity (PA) among students in American higher education settings. To date, however, very limited knowledge is available about the effectiveness of such courses. Aims: The primary purpose of the study was to examine effects of a CPE course on altering freshmen…
Descriptors: Physical Education, College Freshmen, Physical Activities, Higher Education
Lindsay, Keston G.; Nichols, David L.; Davis, Ronald W.; Marshall, David D. – Research Quarterly for Exercise and Sport, 2018
Purpose: This study explored the effect of whole-body vibration (WBV) using accelerations of 2.56 "g" to 7.68 "g" on lower-body detraining. Methods: All participants (N = 20) were trained using a lower-body resistance-training program for 30 min twice per week from Week 0 to Week 6. At the end of the program, they were randomly…
Descriptors: College Students, Females, Human Body, Exercise
Poole, Sonja Martin; Levin, Michael A.; Elam, Kate – Journal of Marketing for Higher Education, 2018
The purpose of this paper is to propose an alternative model to conventional higher education institution (HEI) rankings that can better communicate meaningful differentiation to prospective students. A five-step approach is followed to form clusters and classify HEIs. Cluster analysis is performed on two separate datasets containing (1) public…
Descriptors: Higher Education, Institutional Evaluation, Student Recruitment, Multivariate Analysis
Robert H. Kosar – ProQuest LLC, 2017
Principal component analysis is an important statistical technique for dimension reduction and exploratory data analysis. However, it is not robust to outliers and may obfuscate important data structure such as clustering. We propose a version of principal component analysis based on the robust L2E method. The technique seeks to find the principal…
Descriptors: Research Universities, Taxonomy, Multivariate Analysis, Factor Analysis
Jiang, Han; Woodcock, Stuart – Educational Psychology, 2018
This study aims to investigate the differences of attributional responses to students with and without learning disabilities (LD) between pre- and in-service teachers in mainland China. A total of 204 teachers (101 pre-service and 103 in-service teachers) were surveyed using vignettes and Likert scale questions to ascertain their responses to…
Descriptors: Learning Disabilities, Comparative Analysis, Preservice Teachers, Inservice Teacher Education
Linderholm, Tracy; Dobson, John; Yarbrough, Mary Beth – Advances in Physiology Education, 2016
A testing-based learning strategy is one that relies on the act of recalling (i.e., testing) information after exposure, and interleaving is a strategy in which the learning materials are presented in a serial order (e.g., "texts 1, 2, 3, 1, 2, 3, 1, 2, 3") versus a blocked order (e.g., "texts 1, 1, 1, 2, 2, 2, 3, 3, 3").…
Descriptors: Learning Strategies, Statistical Analysis, Correlation, Multivariate Analysis
Nuñez, Roland – Educational Media International, 2018
Media consumption can influence viewer perceptions and attitudes. Recent research on media's effect on college students has failed to address gender differences. Using Mere Repeated Exposure Theory (traditionally used in marketing research), this study aims to answer three research questions regarding college media consumption and college…
Descriptors: College Students, Expectation, Student Attitudes, Factor Analysis
Peña-Purcell, Ninfa C.; Rahn, Rhonda N.; Atkinson, Taylor Dailey – American Journal of Health Education, 2018
Background: College students are susceptible to cigarette smoking initiation, and those who smoke are at risk for a lifetime addiction. Purpose: This study examined the differences in college student smoker and nonsmoker perceptions about cigarette smoking in relation to emotional benefits, health hazards, self-confidence, and body image. Methods:…
Descriptors: Student Attitudes, Smoking, Prevention, At Risk Students
Fokkens-Bruinsma, Marjon; Vermue, Carlien Elske; Deinum, Jan Folkert – Journal of The First-Year Experience & Students in Transition, 2018
Our study focused on describing first-year university students' motivational profiles and examining differences in academic achievement based on these profiles. Data on academic motivation of 755 students in the field of mathematics and natural sciences were collected before the start of their bachelor's degree program; data on GPA were collected…
Descriptors: Student Motivation, Academic Achievement, College Freshmen, Profiles

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