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Mizumoto, Atsushi – Language Learning, 2023
Researchers often make claims regarding the importance of predictor variables in multiple regression analysis by comparing standardized regression coefficients (standardized beta coefficients). This practice has been criticized as a misuse of multiple regression analysis. As a remedy, I highlight the use of dominance analysis and random forests, a…
Descriptors: Predictor Variables, Artificial Intelligence, Evaluation Methods, Multiple Regression Analysis
Kim, Yongnam – Journal of Educational and Behavioral Statistics, 2019
Suppression effects in multiple linear regression are one of the most elusive phenomena in the educational and psychological measurement literature. The question is, How can including a variable, which is completely unrelated to the criterion variable, in regression models significantly increase the predictive power of the regression models? In…
Descriptors: Multiple Regression Analysis, Causal Models, Predictor Variables
Kim, Mikyong Minsun; Kutscher, Elisabeth Louise – Research in Higher Education, 2021
Using large-scale longitudinal data, this study sought to examine factors influencing two important student development outcomes in students with disabilities attending 4-year colleges and universities. Informed by Astin's Input-Environment-Outcome model and the interactional model of disability, this study investigated the effect of student…
Descriptors: College Students, Students with Disabilities, Academic Ability, Self Esteem
Eather, Narelle; Fray, Leanne; Gore, Jennifer M. – Sport, Education and Society, 2020
Sports participation and elite sporting success are fundamental to Australian culture and a prominent source of national pride. As sport is a major part of day-to-day living in Australia, it is not surprising that many young people aspire to careers as sportspersons. While such aspirations are often dismissed as fanciful and unattainable, the…
Descriptors: Athletes, Occupational Aspiration, Foreign Countries, Elementary School Students
Natale, Vickie C.; Jones, Stephanie J. – Community College Journal of Research and Practice, 2018
The study examined how institutional and student characteristics may influence the earning of student success points by state-supported community colleges under the Texas performance funding system that was fully implemented in the 2016-2017 biennium. Texas has historically funded community colleges based on an enrollment formula; however, the…
Descriptors: Institutional Characteristics, Student Characteristics, Community Colleges, Two Year College Students
Engberg, Mark E.; Gilbert, Aliza J. – Research in Higher Education, 2014
This study examines the relationships between the normative and resource dimensions of a high school counseling department and four-year college-going rates. Utilizing data from the High School Longitudinal Study of 2009 (HSLS: 09), we employ multiple regression and latent class analysis to identify salient factors related to the college-going…
Descriptors: High Schools, School Counseling, College Attendance, Longitudinal Studies
Kang, Haijun; Yang, Yang – American Journal of Distance Education, 2016
This study examines how various life factors and personal attributes affect African American adult learners' use of the three types of learning interaction-learner-content, learner-instructor, and learner-learner. Multivariate multiple regression analyses were used. The aggregate effect of life factors on African American adult learners' use of…
Descriptors: African American Students, Online Courses, Technology Uses in Education, Educational Technology
Pugh, Philip M.; Tschannen-Moran, Megan – NASSP Bulletin, 2016
This article examines a school district's Advancement via Individual Determination (AVID) program using perceived self-efficacy in academic achievement and self-regulated learning, GPA and attendance as indicators of program effectiveness. Results suggest that AVID participation was positively and significantly correlated with attendance in the…
Descriptors: School Districts, Academic Achievement, Self Determination, Program Evaluation
Memisevic, Haris; Sinanovic, Osman – International Journal of Rehabilitation Research, 2012
The aim of this study was to assess the influence of sex, age, level and etiology of intellectual disability on visual-motor integration in children with intellectual disability. The sample consisted of 90 children with intellectual disability between 7 and 15 years of age. Visual-motor integration was measured using the Acadia test of…
Descriptors: Etiology, Multiple Regression Analysis, Mental Retardation, Visual Perception
Williams, Matt N.; Gomez Grajales, Carlos Alberto; Kurkiewicz, Dason – Practical Assessment, Research & Evaluation, 2013
In 2002, an article entitled "Four assumptions of multiple regression that researchers should always test" by Osborne and Waters was published in "PARE." This article has gone on to be viewed more than 275,000 times (as of August 2013), and it is one of the first results displayed in a Google search for "regression…
Descriptors: Multiple Regression Analysis, Misconceptions, Reader Response, Predictor Variables
Stanley, Nile; Stanley, Laurel – Reading Psychology, 2011
Multiple regression analysis indicates that the Reading-Level Indicator, a paper-and-pencil test, is a moderately strong predictor for the high-stakes standardized test, the Florida Comprehensive Achievement Test in Reading. Classroom teachers can administer the inexpensive Reading-Level Indicator in a short period of time and use the results as a…
Descriptors: Standardized Tests, High Stakes Tests, Achievement Tests, Multiple Regression Analysis
Pistole, M. Carole; Roberts, Amber; Mosko, Jonathan E. – Journal of Counseling & Development, 2010
In this web-based study, the authors examined long-distance relationships (LDRs) and geographically close relationships (GCRs). Two hierarchical multiple regressions (N = 138) indicated that attachment predicted LDR and GCR commitment in Step 1. Final equations indicated that high satisfaction and investments predicted LDR commitment, whereas low…
Descriptors: Attachment Behavior, Interpersonal Relationship, Predictor Variables, Caregivers
Petko, Dominik – Computers & Education, 2012
The "will, skill, tool" model is a well-established theoretical framework that elucidates the conditions under which teachers are most likely to employ information and communication technologies (ICT) in the classroom. Past studies have shown that these three factors explain a very high degree of variance in the frequency of classroom…
Descriptors: Foreign Countries, Constructivism (Learning), Multiple Regression Analysis, Secondary School Teachers
Warren, Elizabeth; Miller, Jodie – Mathematics Education Research Journal, 2013
This paper explores the outcomes of the first year of the implementation of a mathematics program ("Representations, oral language and engagement in Mathematics": RoleM) which is framed upon research relating to effectively supporting young Indigenous students' learning. The sample comprised 230 Indigenous students (average age 5.76…
Descriptors: Foreign Countries, Indigenous Populations, Multiple Regression Analysis, Oral Language
Jones, Lakia; Kadhi, Tau – Online Submission, 2009
The purpose of this study was to investigate the relationship between the Texas Higher Education Assessment (THEA) scores and the Graduation rate of college students attending a Historically Black College or University (HBCU). Using a Regressional analysis that tested the predictability of the Reading, Writing, and Mathematics scores on the THEA…
Descriptors: Higher Education, Scores, Predictor Variables, Graduation Rate