ANOVA— planned comparisons

Use the Weightloss dataset. Examine the variables in the data set and write a research question that can be answered with a planned comparison in a one-way ANOVA.

Factorial ANOVA

Part I —Using SPSS

Use the data file memory.sav to examine the memorization data where 4 different experimental interventions and a control were used to examine memorization technique and word recall. Answer each of the following questions. Include any relevant output from SPSS.

1. How many factors are there? How many levels in each? How would you describe the factorial ANOVA?
2. What are the main effects that will be tested? What possible interactions do you expect to find?
3. Run the analyses in SPSS. Be sure to examine the homogeneity of variance assumption.
4. What are the column and row means? The grand mean?
5. Make a graph (using either SPSS or excel) to help interpret your findings.
6. Test the following simple effect: Is there a significant difference between age groups in the control condition?
7. What does the structural model look like for any member of the "old / imagery" group? What is the residual for the person in this group with a score of 16?

Part 2-- Exploring Interactions and writing up results

Using the data set from HW#4---weight loss data

Examine the effects of treatment type and clinic on satisfaction with treatment.

Run the ANOVA. If there is an interaction, be sure to run appropriate tests to make sense of the interaction.

Write up the full results of your analysis. Include any test of assumptions and a full explanation of your findings (what do your results mean?). Include the relevant SPSS output.

ANCOVA

Use the data set hw5data_1.sav for the following analyses.

Company XYZ has implemented 5 different treatments in order to attempt to reduce the amount of minutes that employees spend on Facebook each workday. Analyze the data to determine if there are significant differences between the treatment methods.

Follow these steps:

• Analyze the data to determine if there are treatment differences.
• Next, determine if job satisfaction would be an appropriate covariate to include in the analysis. Be sure to test assumptions.
• Run the ANCOVA analyses and explain your findings using APA format
• Note: Select type 1 SS.

Also, answer the following questions:

1 What is the total sums of squares (SS type I column)? How is this number partitioned in the one-way ANOVA (between and within) versus the ANCOVA? [Hint: What numbers add up to the total SS in each analysis?]

2 Examine the treatment group means for the ANOVA and the adjusted means for the ANCOVA. What similarities/differences are there? Is there any change to rank order?

Price: $27.21

Solution: The downloadable solution consists of 13 pages, 1421 words and 2 charts.
Deliverable: Word Document