Not that I'm going to post the whole paper, these are just the specific tests I had run. The # x # refers to the number of groups an independent variable has.
- The first design was a 2 × 10 × 4 between-subjects MANOVA with 4 dependent variables. The effect of gender by subject by level was analyzed.
- For the second design I used a 10 × 2 between-subjects ANOVA, analyzing the effect of subject by gender on learned a lot.
- For the third design I used a 10 × 2 between-subject ANCOVA, analyzing the effects of subject by gender on learned a lot while controlling for level.
- For the fourth design I used a 2 × 10 between-subjects MANCOVA. The effects of gender by subject on learned a lot, satisfied with instruction, recommend instructor, and grades reflect performance was studied while controlling for level was analyzed.
- For the fifth design I used a one way between subjects ANOVA. I tested the effect of gender on learned a lot.
I had analyzed course evaluations for my project, looking at levels of classes (100 v 200 ...), gender, and course subject. Frame of reference for the stats. Now back to cover letters, job postings, and such.