Question

Please note that for all problems in this course, the standard cut-off (alpha) for a test of significance will be .05, and you always report the exact power unless SPSS output states p=.000 (you’d report p<.001). Also, remember when hand-calculating, always use TWO decimal places so that deductions in grading won’t be due to rounding differences.

Problem Set 2: A product developer wanted to know if advertising strategy for a new toothpaste differs between males and females. He had 20 males and 20 females evaluate three different versions of advertisements for the toothpaste. Each person indicated their favorite version of the advertisement, as indicated in the table below. Did the preferred advertisement version differ between males and females? (Note –conclusions may not be a good reflection of the data due to the small sample size – this example is purely for educational purposes) Gender TOTALS Male Female Advertisement type (version) A 5 3 8 B 11 14 25 C 4 3 7 TOTALS 20 20 40

1. Paste appropriate SPSS output. (2 pts)

2. Paste appropriate SPSS graph. (2 pts)

3. Write an APA-style Results section based on your analysis. All homework “Results sections” should follow the examples provided in the presentations and textbooks. They should include the statistical statement within a complete sentence that mentions the type of test conducted, whether the test was significant, and if relevant, effect size and/or post hoc analyses. Don’t forget to include a decision about the null hypothesis. (3 pts)

Answer 1

Now we need to weight the cases with respect to Freq. Click Data > Weight Cases

Click Weight cases by, then double-click Freq to move it to the Frequency Variable field. Click OK.

Running the Test

1. Open the Crosstabs dialog (Analyze > Descriptive Statistics > Crosstabs).
2. Select Smoking as the row variable, and Gender as the column variable.
3. Click Statistics. Check Chi-square, then click Continue.
4. (Optional) Check the box for Display clustered bar charts.
5. Click OK.