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Kursten Carlson – ProQuest LLC, 2023
This study is focused on seven states, Colorado, Delaware, Kansas, Minnesota, Washington, Washington D.C., and Wisconsin and the written special education complaints filed from July 1, 2014-June 30th, 2019. The problem addressed by this quantitative, correlational design study was the lack of information on the effects of multiple predictor…
Descriptors: Special Education, Predictor Variables, Compliance (Legal), Socioeconomic Status
V. Paul Poteat; Hirokazu Yoshikawa; Robert A. Marx; S. Henry Sherwood; Abigail Richburg; Gabriel R. Murchison; Arthur Lipkin; Megan K. Yang; Jerel P. Calzo – Grantee Submission, 2023
Gender-Sexuality Alliances (GSAs) are school clubs for LGBTQ+ youth and peer allies to support one another. This eight-week weekly diary study considered whether a youth's positive and negative affect during a given week could be predicted by experiences in their most recently attended GSA meeting. Ninety-nine GSA members (M[subscript age] =…
Descriptors: LGBTQ People, Clubs, Sexual Identity, Sexual Orientation
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Chuan Cai; Adam Fleischhacker – Journal of Educational Data Mining, 2024
We propose a novel approach to address the issue of college student attrition by developing a hybrid model that combines a structural neural network with a piecewise exponential model. This hybrid model not only shows the potential to robustly identify students who are at high risk of dropout, but also provides insights into which factors are most…
Descriptors: College Students, Student Attrition, Dropouts, Potential Dropouts