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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)
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Powell, Marvin G.; Hull, Darrell M.; Beaujean, A. Alexander – Journal of Experimental Education, 2020
Randomized controlled trials are not always feasible in educational research, so researchers must use alternative methods to study treatment effects. Propensity score matching is one such method for observational studies that has shown considerable growth in popularity since it was first introduced in the early 1980s. This paper outlines the…
Descriptors: Probability, Scores, Observation, Educational Research
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Ünsal Özbek, Elif Bengi; Yetkiner, Alper – International Journal of Psychology and Educational Studies, 2021
The developments and changes that have accompanied the COVID-19 pandemic have affected the educational world and all sectors. Educational institutions around the world have implemented emergency and online educational practises to ensure continuity of education as opposed to the planned distance education activities that were implemented for…
Descriptors: Regression (Statistics), Classification, Instructional Effectiveness, Electronic Learning
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Kemper, Lorenz; Vorhoff, Gerrit; Wigger, Berthold U. – European Journal of Higher Education, 2020
We perform two approaches of machine learning, logistic regressions and decision trees, to predict student dropout at the Karlsruhe Institute of Technology (KIT). The models are computed on the basis of examination data, i.e. data available at all universities without the need of specific collection. Therefore, we propose a methodical approach…
Descriptors: Foreign Countries, Predictor Variables, Potential Dropouts, School Holding Power
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Aksu, Gokhan; Reyhanlioglu Keceoglu, Cigdem – Eurasian Journal of Educational Research, 2019
Purpose: In this study, Logistic Regression (LR), CHAID (Chi-squared Automatic Interaction Detection) analysis and data mining methods are used to investigate the variables that predict the mathematics success of the students. Research Methods: In this study, a quantitative research design was employed during the data collection and the analysis…
Descriptors: Regression (Statistics), Data Collection, Information Retrieval, Predictor Variables
Ong, Adrian; Circelli, Michelle – National Centre for Vocational Education Research (NCVER), 2018
People participate in vocational education and training (VET) for a variety of reasons and at different stages of their life. Some undertake VET to gain the vocational skills necessary to enter the labour market for the first time, while others enter in order to upgrade existing skills, learn new ones, or simply for personal interest. Successful…
Descriptors: Qualifications, Vocational Education, Graduation Rate, Performance Factors
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Hughes, John; Petscher, Yaacov – Regional Educational Laboratory Southeast, 2016
The high rate of students taking developmental education courses suggests that many students graduate from high school unready to meet college expectations. A college readiness screener can help colleges and school districts better identify students who are not ready for college credit courses. The primary audience for this guide is leaders and…
Descriptors: College Readiness, Screening Tests, Test Construction, Predictor Variables
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Thompson, Paul A.; Hulme, Charles; Nash, Hannah M.; Gooch, Debbie; Hayiou-Thomas, Emma; Snowling, Margaret J. – Journal of Child Psychology and Psychiatry, 2015
Background: Causal theories of dyslexia suggest that it is a heritable disorder, which is the outcome of multiple risk factors. However, whether early screening for dyslexia is viable is not yet known. Methods: The study followed children at high risk of dyslexia from preschool through the early primary years assessing them from age 3 years and 6…
Descriptors: Dyslexia, At Risk Persons, Young Children, Genetic Disorders
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Reichert, Frank – Educational Research and Evaluation, 2016
The opinions about what characterises a good citizen are diverse, yet survey research usually employs variable-centred analytical strategies to examine people's concepts of good citizenship. The present study builds on a person-centred approach towards good citizenship and validates previously identified types of good citizenship among Australian…
Descriptors: Foreign Countries, Secondary School Students, Student Attitudes, Citizenship
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Finn, Kevin J.; Saint-Maurice, Pedro F.; Karsai, István; Ihász, Ferenc; Csányi, Tamás – Research Quarterly for Exercise and Sport, 2015
Purpose: The purpose of this study was to test the convergent validity of Omron 306 using Biospace InBody 720. Method: A total of 267 participants (145 boys; aged 10.4-17.9 years) completed testing during a single session. Each measure provided percent body fat (%BF), while the InBody 720 included fat-free mass (FFM). The validity was examined…
Descriptors: Children, Adolescents, Preadolescents, Measurement Equipment
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Ning, Hoi Kwan; Lee, Daphnee; Lee, Wing On – Teachers and Teaching: Theory and Practice, 2016
The development of teacher professional learning communities (PLC) has attracted growing attention among practitioners, policy-makers and researchers. The aims of this study were to identify typologies of professional learning teams based on measures of professional learning engagement, and assess their linkages with teachers' value orientations.…
Descriptors: Foreign Countries, Communities of Practice, Multivariate Analysis, Values
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Hu, Yinin; Martindale, James R.; LeGallo, Robin D.; White, Casey B.; McGahren, Eugene D.; Schroen, Anneke T. – Advances in Health Sciences Education, 2016
Success in residency matching is largely contingent upon standardized exam scores. Identifying predictors of standardized exam performance could promote primary intervention and lead to design insights for preclinical courses. We hypothesized that clinically relevant courses with an emphasis on higher-order cognitive understanding are most…
Descriptors: Correlation, Standardized Tests, Scores, Predictor Variables
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Pittendrigh, Adele; Borkowski, John; Swinford, Steven; Plumb, Carolyn – Journal of General Education, 2016
This study explores the effects of an academic seminar on the persistence of first-year college students, including effects on students most at risk of dropping out. A secondary interest was demonstrating the utility of using classification and regression tree analysis to identify relevant predictors of student persistence. The results of the…
Descriptors: First Year Seminars, Academic Persistence, At Risk Students, Classification
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Zhang, Fan; Litman, Diane – Grantee Submission, 2015
This paper explores the annotation and classification of students' revision behaviors in argumentative writing. A sentence-level revision schema is proposed to capture why and how students make revisions. Based on the proposed schema, a small corpus of student essays and revisions was annotated. Studies show that manual annotation is reliable with…
Descriptors: Notetaking, Classification, Persuasive Discourse, Revision (Written Composition)
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Murphy, Kimberly A.; Justice, Laura M.; O'Connell, Ann A.; Pentimonti, Jill M.; Kaderavek, Joan N. – Journal of Speech, Language, and Hearing Research, 2016
Purpose: The purpose of this study was to retrospectively examine the preschool language and early literacy skills of kindergarten good and poor readers, and to determine the extent to which these skills predict reading status. Method: Participants were 136 children with language impairment enrolled in early childhood special education classrooms.…
Descriptors: Risk, Reading Difficulties, Predictor Variables, Task Analysis
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