Chat with us, powered by LiveChat SPSS Worksheet SPSS Worksheet 3: (Two-Way ANOVA) This worksheet was developed by Dr. Kurt Michael of Liberty University © 2015 Name: 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? Answer: 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? 3: (Two-Way ANOVA) | Writedemy

SPSS Worksheet SPSS Worksheet 3: (Two-Way ANOVA) This worksheet was developed by Dr. Kurt Michael of Liberty University © 2015 Name: 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? Answer: 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? 3: (Two-Way ANOVA)

12 Jul SPSS Worksheet SPSS Worksheet 3: (Two-Way ANOVA) This worksheet was developed by Dr. Kurt Michael of Liberty University © 2015 Name: 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? Answer: 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? 3: (Two-Way ANOVA)

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SPSS Worksheet 3: (Two-Way ANOVA)

 

This worksheet was developed by Dr. Kurt Michael of Liberty University © 2015

 

Name:

 

 

 

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?

 

 

 

Answer:

 

 

 

 

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?
 

 

  

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