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Ullrich-French, Sarah; Cox, Anne E.; Cooper, Brittany Rhoades – Measurement in Physical Education and Exercise Science, 2016
Previous research has used cluster analysis to examine how social physique anxiety (SPA) combines with motivation in physical education. This study utilized a more advanced analytic approach, latent profile analysis (LPA), to identify profiles of SPA and motivation regulations. Students in grades 9-12 (N = 298) completed questionnaires at two time…
Descriptors: Anxiety, Human Body, Body Composition, Social Attitudes
Huang, Liuli; Roche, Lahna R.; Kennedy, Eugene; Brocato, Melissa B. – International Journal of Higher Education, 2017
Many researchers have explored the relationships between the likelihood of graduating from college and demographic and pre-college factors such as gender, race/ethnicity, high school grade point average (GPA), and standardized test scores. However, additional factors such as a student's college major, home address, or use of learning support in…
Descriptors: Graduation Rate, Predictor Variables, Predictive Measurement, Predictive Validity
de la Fuente, Jesús; Justicia, Fernando; Sander, Paul; Cardelle-Elawar, Maria – Electronic Journal of Research in Educational Psychology, 2014
Introduction: The 3P and DEDEPRO Models predict interactive relationships among "presage," "process," and "product" variables through teaching and learning of self-regulation. The DEDEPRO Model has established different possibilities for interaction between student characteristics of self-regulation and external…
Descriptors: Foreign Countries, Undergraduate Students, Self Control, Models
Sperry, Rita A. – Learning Communities: Research & Practice, 2015
The study used pre-college variables in the prediction of retention and probation status of first-year students in learning communities at a regional public university in South Texas. The correlational study employed multivariate analyses on data collected from the campus registrar about three consecutive cohorts (N = 4,215) of first-year…
Descriptors: Predictor Variables, College Freshmen, Communities of Practice, Academic Achievement
Marra, Rose M.; Tsai, Chia-Lin; Bogue, Barbara; Pytel, Jean Landa – American Journal of Engineering Education, 2015
The need for educating engineers in the United States continues as the projected demand is rising the number of high school seniors planning to enter engineering careers has remained relatively stable (Sargent, 2014). Additionally, figures show that attrition rates in undergraduate engineering continue to be an area of concern, (Sargent, 2014;…
Descriptors: Engineering Education, Engineering, Career Choice, Academic Achievement
Bouhlila, Donia Smaali; Sellaouti, Fethi – Large-scale Assessments in Education, 2013
In this paper, we document a study that involved applying a multiple imputation technique with chained equations to data drawn from the 2007 iteration of the TIMSS database. More precisely, we imputed missing variables contained in the student background datafile for Tunisia (one of the TIMSS 2007 participating countries), by using Van Buuren,…
Descriptors: Databases, Student Characteristics, Error of Measurement, Intervals
Powers, Daniel A. – New Directions for Institutional Research, 2012
The methods and models for categorical data analysis cover considerable ground, ranging from regression-type models for binary and binomial data, count data, to ordered and unordered polytomous variables, as well as regression models that mix qualitative and continuous data. This article focuses on methods for binary or binomial data, which are…
Descriptors: Institutional Research, Educational Research, Data Analysis, Research Methodology
Li, Fengjuan; Chen, Junjun; Baker, Miles – Journal of Teaching in Physical Education, 2014
While there have been many studies into students' attitudes toward Physical Education at the school level, far fewer studies have been conducted at the university level, especially in China. This study explored 949 students' attitudes toward their university Physical Education experiences in four Chinese universities. An intercorrelated model of…
Descriptors: Physical Education, Student Attitudes, Physical Education Teachers, College Students
Lewis, Kadriye O.; McVay-Dyche, Jennifer; Chen, Haiqin; Seto, Teresa L. – Journal of Educators Online, 2015
As the number of online degree programs continues to grow, one of the greatest challenges is developing a sense of community among learners who do not convene at the same time and place. This study examined the sense of community among medical professionals in an online graduate program for healthcare professionals. We took the sample from a fully…
Descriptors: Online Courses, Electronic Learning, Health Personnel, Professional Education
Wladis, Claire; Hachey, Alyse C.; Conway, Katherine M. – Community College Review, 2015
Using data from more than 2,000 community college science, technology, engineering, and mathematics (STEM) majors in the National Postsecondary Student Aid Study, this research investigates how ethnicity, gender, non-traditional student risk factors, academic preparation, socio-economic status, and English-as-second-language/citizenship status…
Descriptors: Community Colleges, Electronic Learning, Online Courses, Enrollment Rate
Cragg, Kristina M. – Research in Higher Education, 2009
The purpose of this study is to identify student and institutional characteristics that influence the probability for graduation. The study delves further into the probability for graduation by examining how far the student deviates from the institutional mean with respect to academics and affordability; this concept is referred to as the "match."…
Descriptors: Graduation, Institutional Characteristics, Multivariate Analysis, Probability
Lekholm, Alli Klapp; Cliffordson, Christina – Educational Research and Evaluation, 2009
The purpose of the study was to investigate how different student characteristics such as gender influence grades. In order to answer these questions, multivariate techniques were used. The data derive from The Gothenburg Educational Longitudinal Database (GOLD), and the subjects were 99,070 ninth-grade students born in 1987. The analyses were…
Descriptors: Grades (Scholastic), Academic Achievement, Student Motivation, Student Characteristics
Carson, Cristi, Ed. – Online Submission, 2012
The NEAIR (North East Association for Institutional Research) 2012 Conference Proceedings is a compilation of papers presented at the Bethesda, Maryland conference. Papers in this document include: (1) Can a Marketing Campaign Increase Response Rates to Online Course Evaluations? (Kimberly Puhala); (2) Developing Community College Peer…
Descriptors: Institutional Research, Marketing, Course Evaluation, Response Rates (Questionnaires)
Paus, Eva; Robinson, Michael – Frontiers: The Interdisciplinary Journal of Study Abroad, 2008
In this paper, the authors propose one model for an institution-specific analysis which they then apply to the study of their home institution, Mount Holyoke College. The paper advances their understanding of the determinants of study abroad in two important ways. First, it shows that going beyond descriptive statistics and simple correlations and…
Descriptors: Multivariate Analysis, Study Abroad, Models, College Students
Yu, Chong Ho; Digangi, Samuel; Jannasch-Pennell, Angel Kay; Kaprolet, Charles – Online Journal of Distance Learning Administration, 2008
The efficacy of online learning programs is tied to the suitability of the program in relation to the target audience. Based on the dataset that provides information on student enrollment, academic performance, and demographics extracted from a data warehouse of a large Southwest institution, this study explored the factors that could distinguish…
Descriptors: Online Courses, Data Collection, Research Methodology, Profiles
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