In: Math
Chapter 15 Discussion Group Question
Gender differences in dream content are well documented (see Winget & Kramer, 1979). Suppose a researcher studies aggression content in the dreams of men and women. Each participant reports his or her most recent dreams. Then each dream is judged by a panel of experts to have low, medium, or high aggression content. The observed frequencies are shown in the following matrix:
Aggression Content
Low | medium | high | |
female | 18 | 4 | 2 |
male | 4 | 17 | 15 |
1. Write null and alternative hypotheses (in words and notation) for both ways of framing/interpreting this data (both 'Versions') for a Chi-Square Test of Independence.
2. Using Table 15.6 from your textbook as a model, create a frequency distribution matrix for this data set. Determine the observed and expected frequencies for this data set.
3. Write out the formula for degrees of freedom. Calculate degrees of freedom for this data set.
4. Determine the critical value from Appendix B in your textbook.
5. Compute a Chi-Square Test of Independence, use an α =.05. Include the Chi-Square result and the significance value (e.g., χ2 (1, n=200) = …., p < .05)
6. Would we use Cramer’s V or Phi-Coefficient to determine effect size for this data set? Use the test you just determined to find effect size for this data set.
7. Write the results and conclusions in an APA formatted results paragraph.Page 11 of the Help Guide should be helpful.
1. H0: There is no association between Gender and Aggression
content
H1: There is association between Gender and Aggression content
2. From the given data, The observed frequencies are
3. Degrees of freedom (row -1) * (column-1) = (2-1)*(3-1)= 2
4.
3
5.
6.
7. Since chi-square value > Chi-square critical value so we reject H0
Thus we conclude that there is association between Gender and Aggression content