Problem Set 2: The Two-factor ANOVA for Independent Measures

Research Scenario:A group of clinical psychologists sets up a treatment study to look at the effects of treatment types and 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 types of clinic, 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.

	Community Clinic1	University Clinic2
CBT1	36 32 19 25 27	31 12 27 20 29
PD2	24 41 38 12 46	42 21 37 53 19

Descriptive Statistics Dependent Variable: BDI Scores Treatment Type Treatment Setting Mean Std. Deviation N CBT Community Clinic 27.80 6.535 5 University Clinic 32.20 13.936 5 Total 30.00 10.520 10 PD Community Clinic 23.80 7.791 5 University Clinic 34.40 14.381 5 Total 29.10 12.252 10 Total Community Clinic 25.80 7.099 10 University Clinic 33.30 13.400 10 Total 29.55 11.124 20Tests of Between-Subjects Effects Dependent Variable: BDI Scores Type Ill Sum of Partial Eta Source Squares df Mean Square F Sig. Squared Corrected Model 333.350 3 111.117 .881 .472 .142 Intercept 17464.050 17464.050 138.494 <.001 .896 treatment_type treatment_setting .155 .122 .381 error total corrected a. r squared=".142">