Conducting 4x3 Omnibus ANOVA and Planned Contrasts for the A Way

Why? Planned contrasts offer a more precise way of asking questions of your data and testing theoretically driven hypotheses. Because planned contrasts do not test all possible combinations of groups means (as omnibus hypotheses do), they tend to have more power because less testwise correction for Type I error is need to keep experimentwise Type I error at a given level.

Assignment

Part I

Make up substantive hypotheses and data for a 4x3 ANOVA. Your hypotheses should reflect some substantive research issue in your field. There should be 3 persons per cell. Follow these guidelines when making your data:

A Way - Make the mean of group 1 at least 4 points higher than the mean of group 2. Make the mean of group 2 no more than 2 points higher than the mean of group 3. Make the mean of group 4 at least 7 points higher than the mean of group 1.

B-Way- Make your means to be anything you want them to be.

Conduct a 4x3 omnibus ANOVA with appropriate post hoc tests. You should test for homogeneity of variance as well as generate descriptive statistics and an appropriate interaction plot.

Part II

Conduct planned contrasts for the A Way only as a secondary analysis. (This is for the purposes of this assignment only! Normally you would not follow an omnibus ANOVA with planned contrasts. Instead, you would decide which you wish to run and do the analysis.) You will use the Regression procedure in SPSS to do this.

Write up your results from the omnibus ANOVA and the planned contrasts as appropriate for a journal article. Include a paragraph describing the research scenario and include tables that you feel are needed/relevant. Be sure to make interpretive statements about what your findings mean.

Submit your write-up, SPSS data file, and SPSS output file.

Price: $16.66

Solution: The downloadable solution consists of 10 pages, 666 words and 2 charts.
Deliverable: Word Document