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# SPSS WORKSHEET 3: (TWO-WAY ANOVA)

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SPSS Worksheet 3: (Two-Way ANOVA)
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Instructions: Lesson 26 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.

Note: The two-way ANOVA looks at three null hypotheses at one time.

H01: There is no significant difference among the amount of time fathers play with their children with no disability, a physical disability, or an intellectual disability.
H02: There is no significant difference between the amount of time fathers play with their male or female children.
H03: There is no significant interaction among the amount of time fathers play with their male or female children with no disability, a physical disability, or an intellectual disability.
Assumptions
Outliers: Create a Box and Whisker plot for each group. Hint: Go to Graph > Legacy Dialog > Boxplot and use the Cluster function. See page 184 in the Salkind and Green textbook for more information on how to display results.
Insert Graph or Table Here
Fill in the blanks:
Group

Outliers (Item #)

Are there any outliers?

Male Typically

Male Physical

Male Mental

Female Typically

Female Physical

Female Mental

< Note: Remove any outliers from the dataset before continuing.>
Assumption of Normality: Run a normality test each group. Hint: Begin by going to Data > Split File > Organize output by groups (see lesson 15, p. 64), then run Analyze > Descriptive > Explore (see lesson 40, p. 327). Insert six Tests of Normality tables below:
Insert Graph or Table Here
Fill in the blanks:
Should you use a Shapiro-Wilks or Kolmogorov-Smirnov test? Why?

Groups

Significance

Is the assumption of normality met?

Male Typically

Male Physical

Male Mental

Female Typically

Female Physical

Female Mental

Assumption of Equal Variance: Insert Levene's Test of Equality of Error Variancesa table(s) below. Hint: Begin by going to Data > Split File > RESET > then run the Analyze.
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

Differences among disabilities

Fill in the blanks:
Results for Disability:

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?

(more)
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