What are the effects of marital status on life satisfaction?

Assignment 5: ANOVA

Open the divorce.sav data file and run the one-way ANOVA to answer the following question: (1 point per lettered question.  Note:  SPSS output required for credit on questions that require SPSS to answer)

What are the effects of marital status on life satisfaction?

1. State the independent and dependent variables.
2. State the null and alternate hypotheses.
3. Run the appropriate analysis using SPSS (Hint: Use the General Linear Models and Univariate Procedure. Select Estimates of Effect Size under the Options tab). Please copy and paste the SPSS output into the assignment.
4. What are the mean and standard deviation for each of the levels of the IV?
5. Report the appropriate F statistic, degrees of freedom, p value, and eta squared (η²).
6. What is your decision regarding the null hypothesis (i.e., did you reject or fail to reject the null)? Explain your decision (1 sentence)
7. Using Morgan et al text (pp. 55-57) write up a sample results section.

Use the goggles.sav data to run a two-way ANOVA. Consider the following example and then answer the subsequent questions: (7.5 points)

Derived from Field (2005), an anthropologist was interested in the effects of alcohol on mate selection at night-clubs. Her rationale was that after alcohol had been consumed, subjective perception of physical attractiveness would become more inaccurate. She was also interested in whether this effect was different for men and women. She picked 48 students: 24 male and 24 female. She then took groups of eight participants to a night-club and gave them either a non-alcoholic lager, 2 pints of strong lager, or 4 pints of strong lager. At the evening she took a photograph of the person that the participant was chatting up. She then got a pool of independent judges to assess the attractiveness of the person in each photograph (out of 100).

3 X 2 factorial design

1. State the independent variables and the dependent variable.
2. State the null and alternate hypotheses. 6 hypotheses in all
3. Run the appropriate analysis and include the Levene’s (Homogeneity of Variance) test and the test of Between-Subjects Effects (Cut and Paste Levene’s Test Output Below – Explain the meaning of this test).

Tests of Between-Subjects Effects (Include Data from Output in the Figure Provided Below)

1. Report the mean and standard deviation for each level of the IV (Cut and Paste Output).
2. What is your decision concerning the null hypothesis (i.e., did you reject or fail to reject the null)? Explain your response in terms of each p-value reported in the table above. You should have 3 decisions here (to match the 3 effects from the table above).
3. Post the Estimated Marginal Means of Attractiveness of Data (i.e., the line graph illustrated in the PPT presentation).
4. Using Morgan et al, write up a sample results section. Be sure to include each of the three p-values in your write up (see the example in the PPT presentation).