Question

1. A clinical psychologist has noted that autistic children seem to respond to treatment better if they are in a familiar environment. To evaluate the influence of environment, the psychologist selects a group of 30 autistic children who are currently in treatment and randomly divides them into three groups. One group continues to receive treatment in the clinic as usual. For the second group, treatment sessions are conducted entirely in the child’s home. The third group gets half of the treatment in the clinic and half at home. After 6 weeks, the psychologist evaluates the progress for each child. The high scores indicate better progress. Do the data indicate any significant differences between the three settings on mean progress scores? Test at the .05 level of significance (α = .05)

Data

Clinic	Home	Clinic/Home
2	2	4
2	7	1
6	2	2
3	4	2
2	5	6
3	7	3
4	8	4
5	5	4
2	4	5
1	5	6

1. (Add the SPSS output (descriptive and F tables) to the preformatted file. Double check to see if you enter the data correctly and if you label the values (1=Clinic, 2=Home, 3 = Clinic/Home).
2. Compare the three means in “Descriptives” table. What conclusion can you draw about the mean differences across three groups?
3. Type your conclusion with APA format (step 4 of hypothesis testing), including an interpretation of η² .

Answer 1

Solution:

1. You can enter the data into an excel file.

2. Import the dataset in spss.

Go to file-> import dataset->excel

3. Then go to the variable view and see whether everything is okay or not. If your independent variable is showing as a string character make change it to scale.

4. Then you can code your variable. Go to variable view-> values -> add value=1 label= clinic, value=2 label= home, value=3 label= clinic_home -> click ok

5.Go to the analyze tab -> compare means -> oneway ANOVA

6. Dialogue box will open

7. Move your independent variable which is scores to the independent variable box and move your setting (clinic,home) to factors box.

8. Click on options -> tick on descriptive,homogeneity of variance and means plot. press OK.

This will give you the results for all the 3.

9. You also need partial ete square so go to analyze tab again-> general linear model ->one way analysis of variance -> move your dependent variable and factors to respective boxes-> options-> click on estimates of effect size -> ok

10. Its done

11. Go to the output page and check for the descriptive statistics, homogeneity of variance, significance level and partial eta square.

(a)I'm attaching the tables here for your reference.

(b) If you check the descriptive statistics table you'll see mean differences between the groups. Children who are getting treated at home are good at their scores followed by clinic/home followed by clinic.

(c)There was no statistically significant difference between groups as determined by one-way ANOVA (F(2,27) = 2.933, p = .070), η²=.178.