Abstract
Subjects for this study were graduate students enrolled in inferential statistics classes at a midwestern university. The study was conducted to determine the importance of spatial ability, attitudes toward mathematics, mathematical background, masculinity-femininity of interest pattern, attitudes toward feminist issues, student sex, and verbal and mathematical ability as predictors of achievement in applied statistics courses for male and female students. Regression analyses were performed comparing full versus restricted models. The amount of variance in statistics achievement accounted for in the full model which included all the previously mentioned sets of predictor variables was .60. The most important predictor variable set was attitudes toward feminist issues (reduction in R2 = .1861). Sex-related differences were found on all variable sets except verbal and mathematical ability.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
