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Yannick Rothacher; Carolin Strobl – Journal of Educational and Behavioral Statistics, 2024
Random forests are a nonparametric machine learning method, which is currently gaining popularity in the behavioral sciences. Despite random forests' potential advantages over more conventional statistical methods, a remaining question is how reliably informative predictor variables can be identified by means of random forests. The present study…
Descriptors: Predictor Variables, Selection Criteria, Behavioral Sciences, Reliability
Predicting Student Success in a Magnet School Setting through Intelligence and Non-Cognitive Factors
John Jeffrey McCann Jr. – ProQuest LLC, 2024
Magnet schools have been a main tool or innovation in urban education settings in the United States, originating in the early 1970's and expanding into most large urban districts today (Blank, 1989). While some magnet schools do not rely on a specific criterion to determine entry, many do. This study focuses on such a setting where students must…
Descriptors: Intelligence Tests, Magnet Schools, Urban Schools, Screening Tests
Ruijs, Nienke M.; Van der Veen, Ineke; Peetsma, Thea T. D. – Educational Research, 2010
Background: In the debate on inclusive education, students without special educational needs (SEN) are an important topic. However, there is a lot unknown about differences between these typical students in inclusive and non-inclusive classes. For example, the neutral results that are often found in earlier research could be caused by positive…
Descriptors: Educational Needs, Academic Achievement, Questionnaires, Foreign Countries
Giroir, Elizabeth Marie Elbert – ProQuest LLC, 2009
The purpose of this study was to determine the retention rate of students who had received academic scholarships versus students who had not received academic scholarships but met the qualifications to receive the scholarships and the effects of emotional intelligence on these students. The data collection mechanisms for this study included the…
Descriptors: Stress Management, Emotional Intelligence, Academic Persistence, Doctoral Dissertations
Harnqvist, Kjell; Stahle, Gun – 1977
A written intelligence test with verbal, reasoning, and spatial subscales was administered to two comparable national samples of 1,000 thirteen-year olds in Sweden, tested in 1961 and in 1966. The increases were greater for girls than for boys, and the changes occurred simultaneously with several changes in social and educational conditions. To…
Descriptors: Comparative Testing, Environmental Influences, Equal Education, Family Environment
Peer reviewedBradley, Robert H.; And Others – Journal of Educational Psychology, 1977
The ability of an environmental process measure and socioeconomic status (SES) measures to predict Stanford-Binet IQ at 3 years of age was compared in a separate analysis by sex and race. The environmental process measure predicted IQ as well as a combination of process and status measures, and was superior to SES measures alone. (Author/CP)
Descriptors: Comparative Testing, Family Environment, Family Influence, Intelligence Quotient
Peer reviewedZeidner, Moshe – Evaluation and Program Planning, 1985
Two experiments were conducted in Israeli elementary schools to test the assumption that disadvantaged students perform poorly on ability tests because of situational factors related to the testing process. Testing atmosphere and examiner status were examined with respect to verbal and nonverbal ability and intelligence. The assumption was not…
Descriptors: Analysis of Variance, Comparative Testing, Disadvantaged Youth, Examiners

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