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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
Thomas Muecke; Arya Rao; Hugo Walker; Joshua Tinnion; Daniel Jesudason; Stephen Bacchi; Robert Casson; Weng Onn Chan – Discover Education, 2024
Successful entrance into specialty training represents a pivotal stage in the careers of medical officers. Selection for entrance into specialty training programs may encompass criteria including research experience, regional exposure, clinical experience, professional achievements, diversity, equity and inclusion factors, and extracurricular…
Descriptors: Specialists, Medical Education, Surgery, Selection Criteria
Christ, Tanya; Arya, Poonam; Chiu, Ming Ming – Journal of Education and Learning, 2023
The DigiLit Framework suggests criteria for digital text and tool selection (content accuracy, intuitiveness, interactivity, quality) and integration (model a literacy skill or strategy, guide a literacy skill or strategy, model digital feature use, guide digital feature use) in literacy lessons. Using survey research, we explored which DigiLit…
Descriptors: Educational Technology, Technology Integration, Media Selection, Selection Tools
Sorensen, Erik A.; Keil, Evan D. – Journal of College and University Student Housing, 2021
Significant literature exists exploring interview and selection processes broadly, but little research specific to Resident Assistant (RA) interviews is available. Studies on RA interview processes include quantitative studies connecting interview scores to job performance or discussions of bias within processes. The purpose of this qualitative…
Descriptors: Dormitories, Resident Advisers, Employment Interviews, Personnel Selection
Joao M. Souto-Maior; Kenneth A. Shores; Rachel E. Fish – Annenberg Institute for School Reform at Brown University, 2025
Whether selection processes contribute to group-level disparities or merely reflect pre-existing inequalities is an important societal question. In the context of observational data, researchers, concerned about omitted-variable bias, assess selection-contributing inequality via a kitchen-sink approach, comparing selection outcomes of…
Descriptors: Control Groups, Predictor Variables, Correlation, Selection Criteria
Abizada, Azar; Mirzaliyeva, Fizza – Journal of the National Collegiate Honors Council, 2019
Designing effective selection procedures for honors programs is always a challenging task. In Azerbaijan, selection is based on three main criteria: (i) student performance in the centralized university admission test; (ii) student performance in the first year of studies; and (iii) student performance in the honors program selection test. This…
Descriptors: Foreign Countries, Honors Curriculum, Selection Criteria, Academic Achievement
Rickes, Scott – ProQuest LLC, 2018
The ability to predict accurately college freshman-year grade point average (FYGPA) in a way that minimizes the adverse impact associated with the predictors traditionally used as acceptance criteria has been an important and controversial topic for several decades. FYGPA is an important measure of educational performance because it is related to…
Descriptors: Racial Differences, Predictor Variables, Ethnicity, College Freshmen
Showalter, Daniel A.; Mullet, Luke B. – Mid-Western Educational Researcher, 2017
Selection bias is a persistent, and often hidden, problem in educational research. It is the primary obstacle standing in between increasingly available large education datasets and the ability to make valid causal inferences to inform policymaking, research, and practice (Stuart, 2010). This article provides an accessible discussion on the…
Descriptors: Educational Research, Selection Criteria, Selection Tools, Bias
Billingham, Chase M.; Hunt, Matthew O. – Sociology of Education, 2016
Racial segregation remains a persistent problem in U.S. schools. In this article, we examine how social psychological factors--in particular, individuals' perceptions of schools with varying demographic characteristics--may contribute to the ongoing structural problem of school segregation. We investigate the effects of school racial composition…
Descriptors: Racial Composition, Preferences, Whites, Parent Attitudes
Wolfe, Katie; Pyle, Daniel; Charlton, Cade T.; Sabey, Christian V.; Lund, Emily M.; Ross, Scott W. – Journal of Positive Behavior Interventions, 2016
Tier 2 interventions play an important role within the Positive Behavioral Interventions and Supports framework, bridging the gap between schoolwide Tier 1 interventions and individualized Tier 3 supports. Check-in Check-out (CICO) is a promising Tier 2 intervention for addressing mild problem behavior and potentially preventing the need for more…
Descriptors: Intervention, Behavior Problems, Positive Behavior Supports, Literature Reviews
Oeberst, Aileen; Moskaliuk, Johannes – Educational Technology & Society, 2016
This paper examines whether conversational norms that have been observed for face-to-face communication also hold in the context of a specific type of computer-mediated communication: collaboration (such as in Wikipedia). Specifically, we tested adherence to Grice's (1975) maxim of relation--the implicit demand to contribute information that is…
Descriptors: Computer Mediated Communication, Norms, Web 2.0 Technologies, Relevance (Education)
Aydin, Oya Tamtekin; Bayir, Firat – Educational Sciences: Theory and Practice, 2016
By examining the relevant literature, many factors can be determined as effecting factors on university choice process. However, existing literature does not fully explore the effect of demographic variables on these factors. This research is aimed at identifying the relationship between university selection criteria and demographic variables,…
Descriptors: Demography, College Choice, Predictor Variables, Business Administration Education
Matijevic, Milan; Opic, Siniša – Online Submission, 2016
In Croatian classrooms it is possible to observe teaching scenarios that follow the features of constructivist and traditional teaching theories and many variants and combinations of teaching didactics that are student centered and those that are teacher centered. Teachers struggle to find their way in the selection and design of a media…
Descriptors: Foreign Countries, Predictor Variables, Instructional Design, Educational Environment
Crouch, Suzanne J. – Journal of College Teaching & Learning, 2015
The purpose of this study was to assess the merit of the Watson-Glaser Critical Thinking Appraisal as a pre-admission criterion in conjunction with the frequently utilized admission criteria of the college prerequisite grade point average and the National League of Nursing pre-admission test. Data were collected from 192 first-year nursing…
Descriptors: Nursing Education, Success, Predictor Variables, Admission Criteria
Nadelson, Sandie G.; Nadelson, Louis S. – Journal of College Reading and Learning, 2012
College and university adoption and use of books as common reads has increased over the last several years. The growing popularity has also brought to light significant variations in how colleges and universities select and use common read texts. In some higher educational institutions, one tome is selected for all freshmen to read and discuss…
Descriptors: Reading Material Selection, Selection Criteria, Selection Tools, Educational Practices
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