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DeBerard, M. Scott; Spielmans, Glen I.; Julka, Deana L. – College Student Journal, 2004
The freshman year represents a stressful transition for college students. Despite a multitude of social, academic, and emotional stressors, most college students successfully cope with a complex new life role and achieve academic success. Other students are less able to successfully manage this transition and decide to leave higher education…
Descriptors: College Freshmen, Grade Point Average, Academic Achievement, Predictor Variables
O'Brien, Francis J., Jr. – 1987
This paper is part of a series of applied statistics monographs intended to provide supplementary reading for applied statistics students. In the present paper, derivations of the unbiased standard error of estimate for both the raw score and standard score linear models are presented. The derivations for raw score linear models are presented in…
Descriptors: Error of Measurement, Estimation (Mathematics), Goodness of Fit, Higher Education

Lottes, Ilsa L.; And Others – Teaching Sociology, 1996
Defines and illustrates basic concepts of dichotomous logistic regression (DLR) and presents strategies for teaching these concepts. Strategies include using analogies between ordinary least squares regression and logistic regression; illustrating concepts with contingency tables; and linking logistic regression concepts to interpretation of…
Descriptors: Analysis of Variance, Causal Models, Higher Education, Instructional Improvement
Hsu, Wen-Kai K.; Huang, Show-Hui S. – Journal of Educational Computing Research, 2006
The purpose of this article is to discuss determinants of computer self-efficacy from the perspective of participant internal learning motivations and external learning environments. The former consisted of three motivations--interest, trend, and employment--while the latter comprised two environments--home and school. Through an intermediate…
Descriptors: Family Environment, Educational Environment, Computer Uses in Education, Causal Models