Computation Homework Assignment

Computation. ( 5 points each )

Use appropriate software or equations to calculate your answers.

1. Using the "marital satisfaction" dataset:
   Perform a multivariate test to determine whether husbands vs. wives had different levels of marital satisfaction, as assessed by four different measures (Q1, Q2, Q3, and Q4).
   What was the overall power for the multivariate tests? What was the overall effect size (multivariate eta-squared)?
   What percent of the variance in each of the four criterion variables can be explained by whether the question respondent was male or female (i.e., husbands vs. wives)?
   Based on your output, were the statistical assumptions of MANOVA met?
   Produce a correlation matrix to show the inter-relationships between variables Q1, Q2, Q3, and Q4. Based on this matrix, do you think MANOVA was an appropriate test to use in part A, and why?
2. Using the "CHD outcomes" dataset:
   Determine whether patients experience a significant change in functioning with increased time after surgery for CHD (variables "outcome1" through "outcome4" show patients’ level of functioning on a five-point scale, at months 1 through 4 after surgery).
   Determine whether the amount of improvement in functioning that patients experience over time is related to pet ownership (yes/no).
   Produce a graph that compares change in functioning over time for the pet owners and for the non-pet owners. Describe this graph in terms of the profile analysis concepts of flatness, parallelism, and differences between groups.
   Does the interaction between pet ownership and amount of change over time remain significant after you control for patients’ marital status and age?
   

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3. Using the "test taking" data set:

Use logistic regression to determine whether you can predict success or failure on a test ("testrslt," where 1 = success and 0 = failure) from the test-taker’s gender ("gender"), the time of day when the test is taken ("time"), the person’s level of life stress ("stress"), the person’s level of social support ("support"), and the person’s anxiety about the test ("anxiety"). Give beta coefficients for each predictor, and indicate (using all of the predictors together) what percentage of cases was correctly classified.

How many predictors would you include in an efficient model to predict test-taking success (i.e., if you were including only those predictors that provide significant independent contributions to the predictive equation)? Using only these predictors, what percentage of cases is correctly classified?

Price: $18.98

Solution: The downloadable solution consists of 11 pages, 798 words and 20 charts.
Deliverable: Word Document