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Hayford, Barbara; Blomstrom, Sally; Mumpower, Lori – Journal on Excellence in College Teaching, 2015
The purpose of the authors' research was to create a tool to evaluate science, technology, engineering, and mathematics (STEM) literacy in service-learning projects. The researchers posited that components of service-learning, which in this case included the deliverable and reflections, are examples of fundamental STEM literacy and thus can be…
Descriptors: STEM Education, Literacy, Service Learning, Student Evaluation
Carson, Andrew D. – Journal of Educational Computing Research, 2011
This study tested the degree to which subscales of the "LASSI for Learning Online" (LLO) (Weinstein & Palmer, 2006), a measure of learning strategies and study skills, predict student success in the form of passing grades, using a combination of large training (N = 4,409) and cross-validation (N = 3,203) samples. Discriminant function analysis…
Descriptors: College Students, Online Courses, Electronic Learning, Academic Achievement
Huberty, Carl J.; Mourad, Salah A. – 1979
Methods for ordering and selecting variables for discriminant analysis in multiple group comparison or group prediction studies include: univariate Fs, stepwise analysis, learning discriminant function (LDF) variable correlations, communalities, LDF standardized coefficients, and weighted standardized coefficients. Five indices based on distance,…
Descriptors: Discriminant Analysis, Evaluation Methods, Group Membership, Groups
Martinez, Daniel – 2001
This document discusses how community colleges often under-utilize collected student data. For example, community colleges use student pre-college assessment data to place students in specific courses. The paper suggests that student data can also be used to predict academic success (a grade of A, B, or C) in community college courses. Some of the…
Descriptors: Academic Achievement, Community Colleges, Discriminant Analysis, Educational Research
Kleinke, David J. – 1971
Change Group Analysis is suggested as a technique for examining the correlates of the differential effects of a compensatory education program within the group of enrolled pupils. It is based on using pretest-posttest relative changes for forming criterion groups and then using multiple disciminant analysis to uncover patterns of predictor…
Descriptors: Academic Achievement, Analysis of Covariance, Change, Compensatory Education
Kissel, Mary Ann – 1986
The use of stepwise discriminant analysis as a means to select entering students who would benefit from a special program for the disadvantaged was studied. In fall 1984, 278 full-time black students were admitted as first-time students to a large urban university. Of the total, 200 entered a special program for the disadvantaged and 78 entered…
Descriptors: Black Students, College Admission, College Students, Compensatory Education