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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
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Peijiang Chen; Xueyin Yang – International Journal of Web-Based Learning and Teaching Technologies, 2023
With the development of information technology, blended learning has been widely used in the education field, and the evaluation of blended learning effect has become one of the research hotspots. Taking the automobile theory course as an example, a blended learning process with online and offline is designed, and the main learning behaviors that…
Descriptors: Evaluation Methods, Blended Learning, Multiple Regression Analysis, Learning Processes
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Hunter, Seth B. – AERA Open, 2020
Several state policies link high-stakes consequences to teacher evaluations, which tend to be heavily weighted by observation scores. However, research has only recently investigated the validity of these scores in field settings. This study examines the sensitivity of teacher observation scores to the number of observations assigned by state…
Descriptors: Educational Policy, Observation, Classroom Observation Techniques, Validity
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Richmond, Melissa K.; Pampel, Fred C.; Zarcula, Flavia; Howey, Virginia; McChesney, Brenda – Research on Social Work Practice, 2017
Purpose: Family support programs commonly use self-sufficiency matrices (SSMs) to measure family outcomes, however, validation research on SSMs is sparse. This study examined the reliability of the Colorado Family Support Assessment 2.0 (CFSA 2.0) to measure family self-reliance across 14 domains (e.g., employment). Methods: Ten written case…
Descriptors: Reliability, Family Programs, Case Studies, Correlation
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Yoo, Hanwook; Wolf, Mikyung Kim; Ballard, Laura D. – Practical Assessment, Research & Evaluation, 2023
As the theme of the 2022 annual meeting of the American Education Research Association, cultivating equitable education systems has gained renewed attention amid an increasingly diverse society. However, systemic inequalities persist for traditionally underserved student populations. As a way to better address diverse students' needs, it is of…
Descriptors: Comparative Analysis, Native Language, English Language Learners, Multilingualism
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Conn, Steven M. – Christian Higher Education, 2017
Using hierarchical multiple regression analysis, this study examined the factors that contribute to the variation in students' subjective perceptions of the value of their tuition dollars. This study utilized data on 6,322 undergraduate students from 11 institutions in the Council for Christian Colleges & Universities (CCCU) who completed the…
Descriptors: Tuition, Multiple Regression Analysis, College Admission, Questionnaires
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Setari, R. Renee; Setari, Anthony P. – Journal of Montessori Research, 2018
One goal of Erdkinder schools is for students and teachers to provide academic assistance to their peers, particularly to less-knowledgeable ones. However, traditional educational evaluations do not provide a means to investigate the exchange of academic help. This study piloted the use of social network analysis to describe academic assistance…
Descriptors: Evaluation Methods, Montessori Schools, Secondary School Students, Student Surveys
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Ang, Lawrence; Breyer, Yvonne Alexandra; Pitt, Joseph – Studies in Higher Education, 2018
"Recommendation" is a highly credible and powerful construct in marketing. This article investigates the construct "intention to recommend" in the context of student evaluations of teaching. Motivated by changes in the sector, the study explores what factors drive course recommendation and their relationship with each other. A…
Descriptors: College Faculty, Student Evaluation of Teacher Performance, Evaluation Methods, College Students
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Kazanidis, Ioannis; Theodosiou, Theodosios; Petasakis, Ioannis; Valsamidis, Stavros – Interactive Learning Environments, 2016
Database files and additional log files of Learning Management Systems (LMSs) contain an enormous volume of data which usually remain unexploited. A new methodology is proposed in order to analyse these data both on the level of both the courses and the learners. Specifically, "regression analysis" is proposed as a first step in the…
Descriptors: Foreign Countries, Online Courses, Course Evaluation, Electronic Learning
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Liu, Min; Lin, Tsung-I – Educational and Psychological Measurement, 2014
A challenge associated with traditional mixture regression models (MRMs), which rest on the assumption of normally distributed errors, is determining the number of unobserved groups. Specifically, even slight deviations from normality can lead to the detection of spurious classes. The current work aims to (a) examine how sensitive the commonly…
Descriptors: Regression (Statistics), Evaluation Methods, Indexes, Models
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Wu, Amery D.; Zumbo, Bruno D.; Marshall, Sheila K. – International Journal of Behavioral Development, 2014
This article describes a method based on Pratt's measures and demonstrates its use in exploratory factor analyses. The article discusses the interpretational complexities due to factor correlations and how Pratt's measures resolve these interpretational problems. Two real data examples demonstrate the calculation of what we call the…
Descriptors: Factor Analysis, Correlation, Comparative Analysis, Multiple Regression Analysis
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Pokropek, Artur – Sociological Methods & Research, 2015
This article combines statistical and applied research perspective showing problems that might arise when measurement error in multilevel compositional effects analysis is ignored. This article focuses on data where independent variables are constructed measures. Simulation studies are conducted evaluating methods that could overcome the…
Descriptors: Error of Measurement, Hierarchical Linear Modeling, Simulation, Evaluation Methods
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Logan, Jessica – Journal of Educational Psychology, 2017
The goal of this study was to examine how selected pressure points or areas of vulnerability are related to individual differences in reading comprehension and whether the importance of these pressure points varies as a function of the level of children's reading comprehension. A sample of 245 third-grade children were given an assessment battery…
Descriptors: Multiple Regression Analysis, Reading Comprehension, Individual Differences, Grade 3
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Magin, Parker; Stewart, Rebecca; Turnock, Allison; Tapley, Amanda; Holliday, Elizabeth; Cooling, Nick – Advances in Health Sciences Education, 2017
Underperforming trainees requiring remediation may threaten patient safety and are challenging for vocational training programs. Decisions to institute remediation are high-stakes--remediation being resource-intensive and emotionally demanding on trainees. Detection of underperformance requiring remediation is particularly problematic in general…
Descriptors: Foreign Countries, Predictor Variables, Remedial Programs, Medical Education
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Rosman, Tom; Mayer, Anne-Kathrin; Krampen, Günter – Assessment & Evaluation in Higher Education, 2015
This article examines the significance of information literacy self-assessments in higher education with a special focus on situational conditions increasing their explanatory power. First, it was hypothesised that self-assessments of information literacy correlate higher with factual information literacy if measured after the administration of…
Descriptors: Achievement Tests, Information Literacy, Educational Practices, Higher Education
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