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Francesco Innocenti; Math J. J. M. Candel; Frans E. S. Tan; Gerard J. P. van Breukelen – Journal of Educational and Behavioral Statistics, 2024
Normative studies are needed to obtain norms for comparing individuals with the reference population on relevant clinical or educational measures. Norms can be obtained in an efficient way by regressing the test score on relevant predictors, such as age and sex. When several measures are normed with the same sample, a multivariate regression-based…
Descriptors: Sample Size, Multivariate Analysis, Error of Measurement, Regression (Statistics)
Nuri Emrahoglu; Onur Yalçin – Journal of Turkish Science Education, 2025
This research involves a content analysis of studies on modern physics education conducted in Turkey between 2000 and 2023. In this context, 273 studies accessed in full text from different databases were examined. The studies were evaluated using the "Modern Physics Education Publication Classification Form" and analyzed using the…
Descriptors: Foreign Countries, Physics, Science Instruction, Trend Analysis
Mangino, Anthony A.; Bolin, Jocelyn H.; Finch, W. Holmes – Educational and Psychological Measurement, 2023
This study seeks to compare fixed and mixed effects models for the purposes of predictive classification in the presence of multilevel data. The first part of the study utilizes a Monte Carlo simulation to compare fixed and mixed effects logistic regression and random forests. An applied examination of the prediction of student retention in the…
Descriptors: Prediction, Classification, Monte Carlo Methods, Foreign Countries
Sata, Mehmet; Elkonca, Fuat – International Journal of Contemporary Educational Research, 2020
The aim of the study is to analyze how classification performances change in accordance with sample size in logistic regression and CHAID analyses. The dataset used in this study was obtained by means of "Attentional Control Scale." The scale was applied to 1824 students and the analyses were done by randomly choosing the samples from…
Descriptors: Classification, Regression (Statistics), Statistical Analysis, Sample Size
Bradley, Alex; Quigley, Martyn – Studies in Higher Education, 2023
The mass participation in higher education has led to greater spending by governments and students which has increased the focus on graduate outcomes. In England, the Office for Students (OfS) is planning to take regulatory action, using the Proceed metric, against universities and their courses which do not have 60% of students with positive…
Descriptors: Foreign Countries, Higher Education, Education Work Relationship, Outcomes of Education
Aksu, Gökhan; Güzeller, Cem Oktay; Eser, Mehmet Taha – International Journal of Assessment Tools in Education, 2019
In this study, it was aimed to compare different normalization methods employed in model developing process via artificial neural networks with different sample sizes. As part of comparison of normalization methods, input variables were set as: work discipline, environmental awareness, instrumental motivation, science self-efficacy, and weekly…
Descriptors: Sample Size, Artificial Intelligence, Classification, Statistical Analysis
Abulela, Mohammed A. A.; Rios, Joseph A. – Applied Measurement in Education, 2022
When there are no personal consequences associated with test performance for examinees, rapid guessing (RG) is a concern and can differ between subgroups. To date, the impact of differential RG on item-level measurement invariance has received minimal attention. To that end, a simulation study was conducted to examine the robustness of the…
Descriptors: Comparative Analysis, Robustness (Statistics), Nonparametric Statistics, Item Analysis
Toprak, Emre; Gelbal, Selahattin – International Journal of Assessment Tools in Education, 2020
This study aims to compare the performances of the artificial neural network, decision trees and discriminant analysis methods to classify student achievement. The study uses multilayer perceptron model to form the artificial neural network model, chi-square automatic interaction detection (CHAID) algorithm to apply the decision trees method and…
Descriptors: Comparative Analysis, Classification, Artificial Intelligence, Networks
Yagiz, Oktay; Aydin, Burcu; Akdemir, Ahmet Selçuk – Journal of Language and Linguistic Studies, 2016
This study reviews a selected sample of 274 research articles on ELT, published between 2005 and 2015 in Turkish contexts. In the study, 15 journals in ULAKBIM database and articles from national and international journals accessed according to convenience sampling method were surveyed and relevant articles were obtained. A content analysis was…
Descriptors: Journal Articles, Periodicals, Content Analysis, Research Design
Bergman, Lars R.; Nurmi, Jari-Erik; von Eye, Alexander A. – International Journal of Behavioral Development, 2012
I-states-as-objects-analysis (ISOA) is a person-oriented methodology for studying short-term developmental stability and change in patterns of variable values. ISOA is based on longitudinal data with the same set of variables measured at all measurement occasions. A key concept is the "i-state," defined as a person's pattern of variable…
Descriptors: Classification, Statistical Analysis, Structural Equation Models, Sample Size
Solak, Ekrem – Online Submission, 2014
The purpose of this study was to determine the trends of recent research papers in foreign language teaching in Turkish context and to give ideas to researchers and policy makers for future studies. Content Analysis method was used in this study. The focus of the study was 189 research papers published between 2009-2013 years in journals indexed…
Descriptors: Foreign Countries, Second Language Learning, Second Language Instruction, Qualitative Research
Craig, Stewart; Lewandowsky, Stephan; Little, Daniel R. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2011
The assumption in some current theories of probabilistic categorization is that people gradually attenuate their learning in response to unavoidable error. However, existing evidence for this error discounting is sparse and open to alternative interpretations. We report 2 probabilistic-categorization experiments in which we investigated error…
Descriptors: Evidence, Feedback (Response), Associative Learning, Classification
Unsal, Yasin – Hacettepe University Journal of Education, 2010
In several resources, especially in textbooks, there are two or more alternatives for terms. These terms generally come from foreign words and alternative equivalences of these words. The aim of the study is to investigate whether this situation causes students problems in perceiving the terms; in which alternatives, the conceptual perception is…
Descriptors: Textbooks, Physics, Science Education, Foreign Countries
Mushkin, Selma J., Ed. – Office of Education, US Department of Health, Education, and Welfare, 1962
In the past few years an important beginning has been made toward defining and exploring the major issues in the economics of higher education. The research of economists covers a wide range of problems, from that of the Nation's requirements for college-trained people, to detailed questions of financing. Perhaps no single area of this work offers…
Descriptors: Academic Achievement, Educational Policy, Financial Support, Labor Force Development

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