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Download full textKoon, Sharon; Petscher, Yaacov – Regional Educational Laboratory Southeast, 2015
The purpose of this report was to explicate the use of logistic regression and classification and regression tree (CART) analysis in the development of early warning systems. It was motivated by state education leaders' interest in maintaining high classification accuracy while simultaneously improving practitioner understanding of the rules by…
Descriptors: Classification, Regression (Statistics), Models, At Risk Students
Peer reviewedKlein, Alice E. – Educational and Psychological Measurement, 1979
The ability of the Stanford Early School Achievement Test (SESAT) to predict scores on the Stanford Achievement Test (SAT) was assessed, using pupils in grades 1 and 2 from a large midwest suburban school district. Observed SESAT-SAT correlations ranged from .257 to .723. Author/CTM)
Descriptors: Achievement Tests, Correlation, Grade 1, Grade 2
Rubin, Rosalyn A.; And Others – 1976
Relationships between performance on two preschool administrations of the Metropolitan Readiness Tests (MRT) and Stanford Achievement Test (SAT) scores at age nine were examined for a sample of 732 children. Significant correlations, ranging from .50 to .71, were obtained between readiness scores and SAT scores on reading, spelling and arithmetic.…
Descriptors: Academic Achievement, Achievement Tests, Classification, Correlation
