Your analysis must produce a significant ANOVA F for the B main effect and the AB interaction effect. What happens to the A main effect is up to you.

NOTE: You may find that you need to modify the data in order to achieve the results you are looking for. A very large ANOVA F ratio contrast would usually indicate that MSE (mean square error) is implausibly small, given the pattern of differences between means. For the purpose of this exercise, an ANOVA F of 100 or greater will be regarded as implausible.

3. Having carried out overall tests for each effect, use PSY for the post-hoc contrasts analysis. Base your analysis on tests and raw confidence intervals.

Choose a plausible set of follow-up contrasts (for B main effect contrasts and AB product interaction contrasts). Do not include simple effect contrasts in your analysis.

Your chosen contrasts should allow for a satisfactory account of the data, with minimal redundancy. Avoid including an exhaustive set of contrasts in your write-up.

Your post-hoc contrasts analysis must produce at least one significant B main effect

complex contrast and at least one significant AB interaction complex contrast (product of A contrast with B complex contrast). What happens to the other contrasts is up to you.

Whatever the outcome, the results should be plausible.

With respect to confidence interval inference, you should propose a minimum difference in dependent variable units of theoretical or practical importance.

Write up of Exercise (this is what you need to submit)

You should create a single word or pdf document for upload to the Turnitin submission link on Moodle that includes all of the following (in this order):

.   A brief description and rationale for the design, clearly stating the independent and dependent variables and how these are to be operationalised.

.   A write up of the overall tests, clearly indicate the decision rule being applied and include an ANOVA summary table (as produced by SPSS or Jamovi)

.   A clearly labelled table of means and plot of cell means.

.   A clearly labelled table of A, B and AB contrast coefficients, identifying which contrasts are included in your analysis (and the levels of A and B that each of the JK coefficients   refer to).

.   A summary of the outcome of your contrast analysis (both tests and raw confidence

intervals). State the decision rule used for tests. Include the PSY summary table (test output) and edited CI table in the body of your report. Provide a concise interpretation for your contrasts analysis (what does it all mean?). Your interpretation should include directional and confidence interval inference.

. Appendix – At the end of your single Assignment document, copy and paste into a single Appendix the text from your PSY input file(s), and text from the complete

(unedited) PSY output file(s).

What is meant by unedited PSY files? Include the complete text content of your PSY input

files and output content for each run through PSY. Clearly label each run of PSY. PSY output should show contrasts, descriptive statistics and test and CI output as given for each run.

This will allow the marker to check against the relevant tables you have provided in the body of your report. Your Assignment cannot be marked unless the analyses can be verified from the PSY input and unedited PSY output.

Note: Make sure all your tables and graphs are clearly labelled.

Summary of tables/chart to include in your report:

o ANOVA Summary Table

o a table of cell means

o plot of cell means

o table of contrast coefficients

o PSY Summary table

o PSY confidence interval table (edited from PSY output to produce a single table for A, B and AB contrasts).

Length:

There is no strict word length for Assignment 2. However, you should find that you are able to provide a description of your design and a written account of your analysis (excluding tables and graphs) in about eight typed pages or fewer (1½ spacing, 1500-2000 words).

Evaluation: Assignments will be evaluated on the basis of:

.   The rationale of the design (Do your two factors make sense in combination with each other? Are the levels of each factor sensible and appropriate to your research question?).

.   A clear description of variables (How is the DV operationalised? How are the factors and factor levels operationalised?).

.   The plausibility of the data and choice of contrasts (given the pattern of means).

.   The data analysis (correct execution of overall tests using SPSS or Jamovi; and correct contrasts analysis in PSY).

.    Interpretation of overall tests and the clarity and conciseness of the interpretation of the contrasts analysis.

Rambling or lengthy reports will not be highly regarded. You do not need to include a long introduction or a literature review. If you wish to refer to one or two key references in the course of showing the relevance of the design to (say) a theory, then by all means do so, but in most cases this should not be necessary.

Provide enough background information to enable the reader to understand the logic of the design and how the variables were operationalised, but no more than this.