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Heiny, Robert L.; Heiny, Erik L.; Raymond, Karen – Journal of College Student Retention: Research, Theory & Practice, 2017
Two approaches, Linear Discriminant Analysis, and Logistic Regression are used and compared to predict success or failure for first-time freshmen in the first calculus course at a medium-sized public, 4-year institution prior to Fall registration. The predictor variables are high school GPA, the number, and GPA's of college prep mathematics…
Descriptors: College Freshmen, College Mathematics, Calculus, Student Placement
Tamboer, Peter; Vorst, Harrie C. M.; Oort, Frans J. – Annals of Dyslexia, 2014
Methods for identifying dyslexia in adults vary widely between studies. Researchers have to decide how many tests to use, which tests are considered to be the most reliable, and how to determine cut-off scores. The aim of this study was to develop an objective and powerful method for diagnosing dyslexia. We took various methodological measures,…
Descriptors: Dyslexia, Foreign Countries, Adults, College Students
Houser, Latisha Cheree-Square; An, Shuhua – Urban Education, 2015
This study examined how gender; race/ethnicity; language; socioeconomic status; California Standards Test (CST) scores in mathematics, science, and ELA; and California High School Exit Exam mathematics predict college-ready results on the Early Assessment Program (EAP) in mathematics in urban areas of southern California. Approximately 1,700 high…
Descriptors: High School Students, Minority Group Students, College Readiness, Standardized Tests
Lin, Jien-Jou – ProQuest LLC, 2013
Every year a group of graduates from high schools enter the engineering programs across this country with remarkable academic record. However, as reported in numerous studies, the number of students switching out of engineering majors continues to be an important issue. Previous studies have suggested various factors as predictors for student…
Descriptors: Success, Prediction, Predictive Measurement, Predictive Validity
Lampropoulos, Georgios K.; Schneider, Mercedes K.; Spengler, Paul M. – Journal of Counseling & Development, 2009
Despite the existence of counseling dropout research, there are limited predictive data for counseling in training clinics. Potential predictor variables were investigated in this archival study of 380 client files in a university counseling training clinic. Multinomial logistic regression, predictive discriminant analysis, and classification and…
Descriptors: Dropout Research, Dropouts, Predictor Variables, Discriminant Analysis
Luyten, Hans; Tymms, Peter; Jones, Paul – School Effectiveness and School Improvement, 2009
The research findings presented in this paper illustrate how the "value added" of schooling can be assessed empirically using cross-sectional data. Application of the regression-discontinuity approach within a multilevel framework produces both an estimate of the absolute effect of 1 year schooling and an estimate of the variation across…
Descriptors: Academic Achievement, Longitudinal Studies, Sampling, Achievement Gains
Finch, W. Holmes; Schneider, Mercedes K. – Educational and Psychological Measurement, 2006
This study compares the classification accuracy of linear discriminant analysis (LDA), quadratic discriminant analysis (QDA), logistic regression (LR), and classification and regression trees (CART) under a variety of data conditions. Past research has generally found comparable performance of LDA and LR, with relatively less research on QDA and…
Descriptors: Classification, Sample Size, Effect Size, Discriminant Analysis
Kuyini, Ahmed Bawa; Desai, Ishwar – Journal of Research in Special Educational Needs, 2007
Surveys and observations were undertaken in selected primary schools in Ghana to determine whether principals' and teachers' attitudes towards and knowledge of inclusive education, as well as principals' expectations of teachers in implementing inclusion, were predictors of effective teaching practices in their classrooms. The sample of 128…
Descriptors: Inclusion, Discriminant Analysis, Regression (Statistics), Foreign Countries
Moore, James D., Jr. – 1996
The serious problems associated with the use of stepwise methods are well documented. Various authors have leveled scathing criticisms against the use of stepwise techniques, yet it is not uncommon to find these methods continually employed in educational and psychological research. The three main problems with stepwise techniques are: (1)…
Descriptors: Computer Software, Discriminant Analysis, Educational Research, Error of Measurement
Wilkinson, L. David; Frazer, Linda H. – 1990
In the 1988-89 school year, the Austin (Texas) Independent School District's Office of Research and Evaluation undertook a new dropout research project. Part of this initiative, termed Project GRAD, attempted to develop a statistical equation by which one could predict which students were likely to drop out. If reliable predictive information…
Descriptors: Discriminant Analysis, Dropout Prevention, Dropout Research, Ethnic Groups
Chiu, Marcus Y. L.; Hung, Rommel C. H. – Journal of Intellectual Disability Research, 2006
Background: In the light of the existence of lengthy waiting lists for out-of-home placements, this study examines the factors affecting the decision to apply or not to apply for this facility in a city traditionally characterized by a cultural and policy emphasis on family responsibility and by relatively low levels of welfare commitment to…
Descriptors: Foreign Countries, Decision Making, Caregivers, Adults
Gregory, Robin; And Others – 1996
This study examined gender differences in laterality, socialization, and educational achievement in fourth graders and determined which characteristics predicted mathematical and language achievement. The participants were four fourth grade classes comprised of 32 boys and 45 girls at an elementary school in a small rural town. Measures used were…
Descriptors: Academic Achievement, Children, Discriminant Analysis, English