EDUC 812-D SPSS Worksheet 4
(ANCOVA)
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SPSS Worksheet 4: (ANCOVA)
Instructions: Lesson 27 Exercise File 2 is located at
the end of the chapter under the heading Exercises in your Green and Salkind
textbook. Complete the exercise and then complete the worksheet below by
filling in the blanks and answering the questions.
H01:
There is no significant difference among the depression scores of
students who receive Journal and Counseling therapy, Journal therapy only, or Counseling
therapy only, while controlling for pre-test depression scores.
Assumptions
Outliers: Create
a Box and Whisker plot for each group.
Insert
Grapsh or Table Here
Fill in the blanks:
Group (Pre-Test):
|
Outliers (Item #)
|
Are there any outliers?
|
Journal and Counseling
|
|
|
Journal only
|
|
|
Counseling only
|
|
|
Group (Post-Test):
|
Outliers (Item #)
|
Are there any outliers?
|
Journal and Counseling
|
|
|
Journal only
|
|
|
Counseling only
|
|
|
< Note:
Remove any outliers from the dataset before continuing.>
Assumption of
Normality: Run a normality test for each group. Insert Tests of Normality table below:
Insert
Graph or Table Here
Fill in the blanks:
Should you use a Shapiro-Wilks or Kolmogorov-Smirnov test? Why?
Answer:
|
Groups (Pre-Test)
|
Significance
|
Is the assumption of normality met?
|
Journal and Counseling
|
|
|
Journal only
|
|
|
Counseling only
|
|
|
Groups (Post-Test)
|
Significance
|
Is the assumption of normality met?
|
Journal and Counseling
|
|
|
Journal only
|
|
|
Counseling only
|
|
|
Assumption of
Linearity: Hint: Run a series of scatter plots between the pre-test
variable and post-test variable for each group. Begin by going to Data >
Split File (see lesson 15, p. 64), and then make the plots. Add line of fit. See
Warner p. 168- 172. After making the scatterplots, go to Data > Split File
> RESET before continuing with the analysis.
Insert
Graph or Table Here
Fill in the blanks:
Variables
|
Is the assumption of linearity met?
|
Journal & Counseling (Pre) Journal & Counseling (Post)
|
|
Journal only (Pre) Journal only (Post)
|
|
Counseling only (Pre) Counseling only (Post)
|
|
Assumption of
Bivariate Normal Distribution: Hint: Run a series of scatter plots
between the pre-test variable and post-test variable for each group (Same as
above). Look for the classic “cigar
shape.” See Warner p. 168- 172.
Insert
Graph or Table Here
Fill in the blanks:
Variables
|
Is the assumption of Bivariate Normal Distribution met?
|
Journal & Counseling (Pre) Journal & Counseling (Post)
|
|
Journal only (Pre) Journal only (Post)
|
|
Counseling only (Pre) Counseling only (Post)
|
|
Assumption of
Homogeneity of Slopes: Hint: Remember to go to Univariate > Model
> Custom and look for an interaction.
Insert
Graph or Table Here
Fill in the blanks:
F-stat
|
Significance
|
Is the assumption of Homogeneity-of- Slopes met?
|
|
|
|
Assumption of
Equal Variance: Insert Levene's Test of Equality of
Error Variancesa table(s) below:
Insert
Graph or Table Here
Fill in the blanks:
Significance
|
Is the assumption of equal variance met?
|
|
|
Results
Insert Tests of Between-Subjects Effects table(s) below:
Insert
Graph or Table Here
Fill in the blanks:
|
Value
|
d.f. between Groups
|
|
d.f. within Groups
|
|
F-statistic
|
|
F-critical (See Appendix C in
Warner)
|
|
p- value
|
|
Partial Eta Squared
|
|
Is the F- statistic greater
than F-critical?
Answer:
|
Is the p- value less than
.05?
Answer:
|
Should you reject or fail to reject the null?
Answer:
|
What is the effect size small, medium, or large (See Table 5.2 in
Warner, p. 208)?
Answer:
|
Should you run post hoc analysis?
Answer:
|
Descriptive Statistics
Groups (Pre-Test)
|
Mean
|
S.D.
|
Journal and Counseling
|
|
|
Journal only
|
|
|
Counseling only
|
|
|
Groups (Post-Test)
|
Mean
|
S.D.
|
Journal and Counseling
|
|
|
Journal only
|
|
|
Counseling only
|
|
|
Groups (Estimates)
|
Adjusted Mean
|
S.E.
|
Journal and Counseling
|
|
|
Journal only
|
|
|
Counseling only
|
|
|
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