Question

In: Statistics and Probability

Problem Set 1: The One-way ANOVA Research Scenario: Depressed patients are randomly assigned to 1 of...

Problem Set 1: The One-way ANOVA

Research Scenario: Depressed patients are randomly assigned to 1 of 3 therapists. At the end of 3 months, each patient completes a standardized test of depression (higher scores indicate higher level of depression). The patients’ scores are shown below. Analyze the data to determine how effective these 3 therapists are at treating depression (assume that before the treatment, all 3 groups of patients had the same average depression score).

Using this table, enter the data into a new SPSS data file and run a one-way ANOVA to test whether there is a difference in patients’ depression scores among the three therapists. Create a boxplot to show the difference among these scores.

Data: Therapist 1: 35,37,35,37,36,33,39

Therapist 2: 36,37,37,31,39,35,32

Therapist 3: 29,32,25,28,33,30,32

  1. Paste SPSS output. (7 pts)
  1. Write an APA-style Results section based on your analysis. Include your boxplot as an APA-style figure as demonstrated in the APA writing presentation. (Results = 8 pts; Graph = 5 pts) Please include this section, as it it important!!!! Thank you!

Solutions

Expert Solution

Solution:

Here, we have to use one way analysis of variance or ANOVA F test for checking the given claim or hypothesis. The null and alternative hypotheses for this test are given as below:

Null hypothesis: H0: There is no any significant difference in the average depression scores due to three different therapists.

Alternative hypothesis: Ha: There is a significant difference in the average depression scores due to three different therapists.

We assume level of significance = α = 0.05 = 5%

The required ANOVA table and box plot for this test by using SPSS are given as below:

The box plot is given as below:

From above box plots, it is observed that there is a significant difference between average depression scores due to three different therapists.

The ANOVA table is given as below:

Descriptive Statistics

Depression score

N

Mean

Std. Deviation

Std. Error

95% Confidence Interval for Mean

Minimum

Maximum

Lower Bound

Upper Bound

Therapist 1

7

36.0000

1.91485

.72375

34.2291

37.7709

33.00

39.00

Therapist 2

7

35.2857

2.87021

1.08484

32.6312

37.9402

31.00

39.00

Therapist 3

7

29.8571

2.79455

1.05624

27.2726

32.4417

25.00

33.00

Total

21

33.7143

3.71676

.81106

32.0224

35.4061

25.00

39.00

ANOVA

Depression score

Sum of Squares

df

Mean Square

F

Sig.

Between Groups

158.000

2

79.000

12.022

.000

Within Groups

118.286

18

6.571

Total

276.286

20

From above ANOVA table, we have

P-value = 0.000

So, P-value < α = 0.05

So, we reject the null hypothesis

There is sufficient evidence to conclude that there is a significant difference in the average depression scores due to three different therapists.


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