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## Running ANOVA for Three Treatment Conditions

You are investigating the effects of three different treatment conditions on depressive symptomatology as measured by the Quick Inventory of Depression Scale (QIDS). Using the dataset from assignment #4 (assignment 4 t test data), run an ANOVA with the three treatment conditions (placebo, SSRI, and CBT) as the Factor (or independent variable) and QIDS Post as the dependent variable.

2. State the null hypothesis for this test:

3. What is the value for SSbetween?

4. What is the value for SSwithin

5. What is the value for dfbetween?

6. What is the value for dfwithin?

7. What is the F-ratio value?

8. According to the output, is there a significant difference between groups?

ANOVA SolutionAns: a. Here is the ANOVA table:   SS DF MS F Within 105 2 52.5 15.3125 Between 72 21 3.7286   Total 177 23     The p-value of the test is less than 0.0001. Thus there is significant difference in student judgements depending on how they see their teachers. b. η^2=105/177 = 0.593 You are investigating the effects of three different treatment conditions on depressive symptomatology as measured by the Quick Inventory of Depression Scale (QIDS). Using the dataset from assignment #4 (assignment 4 t test data), run an ANOVA with the three treatment conditions (placebo, SSRI, and CBT) as the Factor (or independent variable) and QIDS Post as the dependent variable. Result: ANOVA Quick Inventory of Depression Scale - SR PostTx   Sum of Squares df Mean Square F Sig. Between Groups 1148.933 2 574.467 35.308 .000 Within Groups 927.400 57 16.270     Total 2076.333 59       2. State the null hypothesis for this test: Ans: There is no difference in QIDS for the three factors. 3. What is the value for SSbetween? Ans: 1148.933 4. What is the value for SSwithin Ans: 927.4 5. What is the value for dfbetween? Ans: 2 6. What is the value for dfwithin? Ans: 57 7. What is the F-ratio value? Ans: 35.308 8. According to the output, is there a significant difference between groups? Ans: Yes, there is a significant difference between the groups as the p-value is 0.000. 

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