The study will employ path analysis procedures to examine the relations among
several computer-related aective variables. Path analysis employs a set of regressions
conducted to test the significance of relations (paths) between variables proposed in
a theoretical model. The model is tested against a correlation matrix. The model is
judged to `fit' the data to the extent that its paths reproduce the correlation matrix
with little residual correlation. The model tested here will examine computer-related
attitudes, anxiety, and self-efficacy, their motivational antecedents, and impact on
grades in computer courses.