Repeated Measures Assignment

Why? Often traditional experiments are not possible due to an inability to randomly assign subjects to treatment conditions or small sample sizes. Single-factor, within subjects, repeated measures analyses use ANOVA methodology to examine change across time to one group of participants, thereby eliminating the need for multiple groups. There are some distinct advantages (and weaknesses) to this approach. We need to know how to conduct and interpret these analyses.

Assignment

Develop your own data set consisting of 6 people across 4 treatments. You should develop a research situation and substantive hypotheses to guide your data (i.e., don't just make us numbers, make up numbers that follow or discount some research expectation).

Use SPSS to run a repeated measures analysis on your data. Be sure you test the sphericity assumption and have the computer give you the estimated marginal means confidence intervals (these can be used as a rough estimate of a post hoc test for treatment mean differences). Also, have the computer generate a figure to graphically depict your treatment means.

Write a paragraph explaining your research situation. Write a paragraph explaining your research hypotheses.

Write up your results and interpretations in narrative form, which should include an ANOVA summary table and the Figure of the treatment means.

Price: $9.02

Solution: The downloadable solution consists of 5 pages, 402 words and 1 charts.
Deliverable: Word Document