Problem Set 1: The Two-Factor ANOVA for Independent Measures
ScenarioA group of clinical psychologists sets up a treatment study to look at the effects of treatment type & treatment setting (community clinic or university clinic) on symptom severity in a sample of patients with diagnosed Major Depressive Disorder. They recruit 12 participants from each type of clinic (though one person eventually drops out of one group), and divide them further into two groups, one of which receives cognitive-behavioral therapy (CBT) and one of which receives psychodynamic (PD) therapy. The psychologists measure depressive symptomology using the Beck Depression Inventory (Beck et al., 1961), and scores can range from 0 to 62. Their results are in the table below.
Conduct a two-way ANOVA to determine whether treatment type &/or treatment setting have an effect on the severity of depressive symptoms. multiple line graph that shows the difference in BDI scores among the groups.
- Paste SPSS output.
- Results section based on your analysis including independent and dependent variables, confidence interval, effect size, 1 or 2 tailed and the p value.
Problem Set 2: The Two-factor ANOVA for Independent Measures
Research Scenario: In response to media reports of violence on college campuses, a psychologist who works at a local community college decides to study students' perceptions of campus safety. He hopes to use these results to help develop an on-campus violence prevention program. The administration has asked him additionally to look at whether perceptions of safety differ depending on students' year in school and gender. The psychologist administers a questionnaire with possible scores ranging from 1-70, with higher scores indicating higher perceptions of safety on campus, and lower scores indicating perceptions that the campus is less safe. Based on the data collected below, do year in school and/or gender have an effect on perceptions of campus safety?
Using this table, enter the data into a new SPSS data file and run a two-way ANOVA to test whether there is a difference in patients' depression scores among the three therapists. multiple line graph to show the difference among these scores
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