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Crawley, Frank E.; Black, Carolyn B. – 1990
This study explores the utility of the theory of planned behavior for understanding and predicting the behavioral intentions of secondary science students. Data were collected from secondary science students enrolling in earth science (8th grade), biology (9th grade), physical science (10th grade), or chemistry (11th grade). Cause-effect relations…
Descriptors: Course Selection (Students), Enrollment Influences, Path Analysis, Physics

Erwin, T. Dary; Nelson, Randall B. – Journal of Educational Computing Research, 1986
Describes development of a causal model to test effects of scholastic ability, computing attitudes, and computing background of university undergraduates on use of a computer-assisted instructional system, PLATO-LDEC; on attitudes toward PLATO-LDEC; on computing attitudes after students' PLATO-LDEC experience; and on course grade. (Author/MBR)
Descriptors: Academic Ability, Computer Assisted Instruction, Courseware, Engineering Education
Ethington, Corinna A.; Wolfle, Lee M. – 1984
An extensive body of research indicates that men on the average achieve higher scores in mathematics than women. Despite this extensive research, conclusions about sex differences in mathematics achievement have suffered from various inadequacies in the use of measures of association among coursework experiences, sex, and other correlates of…
Descriptors: Correlation, Mathematics Achievement, Mathematics Instruction, Mathematics Skills
Nolen, Susan Bobbitt; Haladyna, Thomas M. – 1989
This paper describes a model of the influence of personal and environmental factors on students' valuing of two deep-processing strategies for studying expository texts. In the model, task orientation (a form of intrinsic motivation in which learning and understanding are the major goals) interacts with perceptions of the teacher's goals to…
Descriptors: Academic Aspiration, Educational Objectives, High Schools, Learning Motivation
Hilton, Thomas L.; And Others – 1985
Since the mean score for a sample composed of several subgroups can be viewed as the sum of the mean of each subgroup weighted by the proportional size of the subgroup, then the mean change in a time period--in this case, from 1972 to 1980--is the sum of the differences between the means for each subgroup, with each mean weighted by its…
Descriptors: Analysis of Covariance, Cohort Analysis, Cross Sectional Studies, Educational Trends