CPSY 501 Fall 2010 HW Assignment #3:
Mixed-Design ANOVA
Total: 20pts. Due: Fri 19Nov 09:00am, uploaded to myCourses
Dataset
Please download and use the
HW3-Schultz_WEL.sav data file
for this assignment. This data is an excerpt from Ben Schultz's thesis,
"Weight Loss Self-Efficacy and Modeled Behaviour: Gaining Competence
through Example."
Mixed-Design ANOVA
Your data set consists of adults who participated in a workshop on exercise and
health promotion supporting health weight maintenance. Some participants viewed
a video that modelled success in exercise while others viewed a video of
relaxing waves on the shoreline to support relaxation and stress management.
Some participants had access to the videos for use at home during the follow-up
period. The DV for this exercise is the Weight Efficacy Life-Style
Questionnaire (WEL), tapping their current beliefs about their ability to lose
weight.
Conduct a Mixed-Design ANOVA to explore change in the workshop participants'
WEL levels. For the purposes of this assignment, assume that the assumptions of
interval-level measurement and normally distributed outcome variable have been
met.
Questions
-
Outliers (2 marks)
Screen the data for problems with univariate outliers for the group as a
whole (do not break down for gender or treatment group).
Also perform basic data preparation / cleaning (e.g., check for missing
data). Report any problems that you identify.
However, do not remove / alter / transform the data here to
adjust for outliers, or in any other part of this assignment.
-
Sphericity and Equality of Covariance (2 marks)
Check the assumptions of sphericity and equality of covariances.
For each assumption, explain how you obtained your answer and report the
appropriate statistics. If either assumption is violated, explain how this
impacts our analysis.
-
Time Effect and Interaction (6 marks)
Do participants' WEL levels change significantly over time?
How does this change relate to the "treatment effect" (interaction)?
Interpret the interaction effect, illustrating with graphs as appropriate.
Explain how you reached these conclusions, and report the appropriate
statistical information.
(Reminder: make sure you choose the procedure that
matches your conclusion about the assumption of sphericity.)
-
Gender as a Moderator (8 marks)
Using the appropriate tests, identify and interpret all significant
interactions with gender in this investigation. Conduct and report the
tests, plot the appropriate graphs, and describe what that information tells
us. How does this pattern of results change our interpretation of the treatment
effect, if at all?
APA Style (2 marks)
Please format your answers as a complete APA-style paper.
Be sure to include a title page, running headers, etc., and especially
pay attention to formatting your statistical results in proper APA style,
including reporting the effect sizes, df, test statistics, and
p-values.
Include relevant tables and figures within your document,
following APA style.
Write up your answers in a clear and well-formatted document (e.g., Word).
Also, upload a properly labelled SPSS output file,
and refer to the output to support your answer.
Turn-in
You should upload to myCourses the following:
- Your write-up as a Word .doc (or similar), in APA style
- Your clean SPSS output file (.spv)