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Martin, Anna M. – Journal of Digital Learning in Teacher Education, 2020
As both universities and students demonstrate an increasing interest in offering and taking online courses, a better understanding of the causes of student outcomes, such as student achievement has become increasingly important. This study investigated an additional variable, the role of the teacher, which has been hidden within and in many…
Descriptors: Teacher Characteristics, Academic Achievement, College Faculty, Online Courses
Ferrer, Carlos A.; Haderlein, Tino; Maryn, Youri; de Bodt, Marc S.; Nöth, Elmar – Journal of Speech, Language, and Hearing Research, 2018
Purpose: The aim of the study was to address the reported inconsistencies in the relationship between objective acoustic measures and perceptual ratings of vocal quality. Method: This tutorial moves away from the more widely examined problems related to obtaining the perceptual ratings and the acoustic measures and centers in less scrutinized…
Descriptors: Objective Tests, Acoustics, Reliability, Perception Tests
Zekeri, Andrew A.; Diabate, Youssouf; Nnedu, Cordelia C.; Zekeri, Lilian U. – College Student Journal, 2019
Drawing on data from the survey of former students, the primary purpose of this analysis is to identify determinants of students' performance in a sociological statistics class. Multiple correlation regression was used in analyzing the data. The results revealed that student status, previous courses taken in mathematics and statistics were the…
Descriptors: Academic Achievement, Statistics Education, College Students, Sociology
Astivia, Oscar L. Olvera; Zumbo, Bruno D. – Practical Assessment, Research & Evaluation, 2019
Within psychology and the social sciences, Ordinary Least Squares (OLS) regression is one of the most popular techniques for data analysis. In order to ensure the inferences from the use of this method are appropriate, several assumptions must be satisfied, including the one of constant error variance (i.e. homoskedasticity). Most of the training…
Descriptors: Multiple Regression Analysis, Least Squares Statistics, Statistical Analysis, Error of Measurement
McCahey, Angela; Allen, Kelly-Ann; Arslan, Gokmen – Psychology in the Schools, 2021
School belonging is an important component of adolescent well-being, yet little is known about its relationship with adolescents' Information Communication Technology (ICT) use. This study aimed to examine the relationship between school belonging and various ICT use types in Australian adolescents. The sample was drawn from 14,530 Australian…
Descriptors: Technology Uses in Education, Information Technology, Communication (Thought Transfer), Sense of Community
Ishitani, Terry – College and University, 2020
This study investigated the relationship between institutional graduation rates of students with Pell grants and institutional/financial aid characteristics. Study findings suggest that increasing the proportion of Pell recipients was related to a decrease in Pell student graduation rates, while increasing institutional grants was associated with…
Descriptors: Graduation Rate, Federal Aid, Grants, Student Financial Aid
Lisnyj, Konrad T.; Russell, Regan; Papadopoulos, Andrew – Canadian Journal of Higher Education, 2020
This survey study measured the association between risk and protective factors of anxiety and its implications on the academic performance of 1,053 students at a four-year, public post-secondary institution in southwestern Ontario. Logistic regression analyses revealed 13 significant variables at the univariable level, while the multivariable…
Descriptors: Risk, Anxiety, Academic Achievement, College Students
Van Dusen, Ben; Nissen, Jayson – Physical Review Physics Education Research, 2019
Physics education researchers (PER) often analyze student data with single-level regression models (e.g., linear and logistic regression). However, education datasets can have hierarchical structures, such as students nested within courses, that single-level models fail to account for. The improper use of single-level models to analyze…
Descriptors: Physics, Science Education, Educational Research, Hierarchical Linear Modeling
Forslund Frykedal, Karin; Chiriac, Eva Hammar; Rosander, Michael – Educational Studies, 2021
The aim of this study was to investigate factors that can predict collective efficacy in student work groups year 5 and 8 at compulsory school and to see if there are gender and year differences for efficacy beliefs and aspects of interdependence. A total of 283 completed questionnaires were analysed. Hierarchical multiple regression was used to…
Descriptors: Self Efficacy, Group Dynamics, Student Evaluation, Cooperative Learning
Thompson, Gene; Aizawa, Ikuya; Curle, Samantha; Rose, Heath – International Journal of Bilingual Education and Bilingualism, 2022
English medium instruction (EMI) is a growing phenomenon in higher education contexts across the globe, and EMI programs are expanding rapidly in Japan as part of their internationalization efforts. This paper explores the relationship between student self-beliefs and their success in an EMI course within a bilingual business program. It analyzed…
Descriptors: Self Efficacy, Academic Achievement, English (Second Language), Second Language Learning
Mundfrom, Daniel J.; DePoy Smith, Michelle L.; Kay, Lisa W. – AERA Online Paper Repository, 2017
It is widely known that the presence of multicollinearity in a dataset can have detrimental effects on determining which predictors are responsible for the variation in the response (e.g. Pedhazur, 1982). There also exist some indication that the presence of multicollinearity does not impact one's ability to accurately estimate/predict the value…
Descriptors: Prediction, Predictor Variables, Multiple Regression Analysis, Sample Size
Tentama, Fatwa; Subardjo; Mulasari, Surahma Asti – Journal of Education and Learning (EduLearn), 2019
Many factors can affect employability in Vocational High School students, including independence and disciplinary factors. This study aims to determine the role of independence and discipline towards student employability. As many as 225 students of class XII Vocational High School 1 Kalasan Yogyakarta, Indonesia participated in this study. The…
Descriptors: Personal Autonomy, Employment Potential, Vocational High Schools, High School Students
Radhy, Zainb Hassan – International Electronic Journal of Mathematics Education, 2019
The Linear multiple regression model is one of the prediction models whose parametric estimations could be achieved in different methods. With the advent of modern technologies and modern information technologies and its impact on various aspects of life, using it as a tool to facilitate learning in all the courses, and in particular mathematics,…
Descriptors: Multiple Regression Analysis, Technology Uses in Education, Teaching Methods, Mathematics Education
Byon, Kevin K.; Zhang, James J. – Measurement in Physical Education and Exercise Science, 2019
Sport management research has evolved significantly despite its relatively short history as an academic discipline. Although the pace of scholarly progress has been impressive, the extent to which many research efforts have aided sport management in becoming a distinct academic discipline is, at times, questionable. A major challenge many scholars…
Descriptors: Athletics, Research, Statistical Analysis, Research Methodology
Wang, Yali; Gu, Chuanhua; Lu, Jiamei – Journal of Creative Behavior, 2019
The neural mechanism underlying creativity has been identified and confirmed by numerous studies. This current exploratory study compared the neural basis between social creativity and general creativity and explored the effect of creative personality on their neural basis by employing multiple regression analysis. The EEG activities of 34…
Descriptors: Brain Hemisphere Functions, Creativity, Personality Traits, Task Analysis