Question

Can you show the step by step on how to input this information in SPSS. not hand written but actually screen shots would be greatly appreciated.

5. A researcher is interested in studying the effect that the amount of fat in the diet and amount of exercise has on the mental acuity of middle-aged women. The researcher used three different treatment levels for the diet and two levels for the exercise. The results of the acuity test for the subjects in the different treatment levels are shown below. Diet <30% fat 30% - 60% >60% fat fat Exercise <60 minutes 4 3 1 4 2 4 2 2 3 8 8 3 6 5 4 2 2 2 2 1 5 7 5 5 6 60 minutes or more 7 4 8 5 6 a. Perform a Two-way analysis of variance (ANOVA) and report the results using correct APA style, report whether significance was found for Factor A, Factor B, and/or an interaction between Factors A and B was found. b. If the test statistic is significant, run a post hoc test to determine between what groups significance was found. c. Report an effect size for all significant results.

Answer 1

Enter the data into SPSS.

- Х ta *Untitled1 [DataSetO] - IBM SPSS Statistics Data Editor File Edit View Data Transform Analyze Graphs Utilities Extensions Window Help A 14 HH 5: VAR00002 1.00 Visible: 3 of 3 Variables var var var var var var var var var var var var var var var var var VAR0000 1 1.00 VAR0000 3 4.00 1 2 3 4 VAR0000 2 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 5 1.00 1.00 1.00 1.00 2.00 2.00 2.00 2.00 2.00 6 4.00 2.00 4.00 3.00 6.00 5.00 4.00 4.00 5.00 7 8 9 10 11 2.00 12 13 1.00 1.00 1.00 2.00 2.00 14 1.00 1.00 2.00 2.00 2.00 15 3.00 1.00 2.00 2.00 3.00 8.00 8.00 7.00 8.00 6.00 16 17 18 19 2.00 2.00 2.00 2.00 2.00 2.00 2.00 2.00 3.00 20 21 2.00 1.00 1.00 1.00 22 3.00 23 2.00 2.00 2.00 2.00 1.00 5.00 24 25 1.00 1.00 2.00 2.00 26 3.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 27 7.00 5.00 28 29 2.00 2.00 2.00 5.00 6.00 30 Data View Variable View IBM SPSS Statistics Processor is ready Unicode:ON

Name the variables by going to Variable VIew.

- Х ta *Untitled1 [DataSetO] - IBM SPSS Statistics Data Editor File Edit View Data Transform Analyze Graphs Utilities Extensions Window Help Width Label Columns 1 8 Name Exercise Diet Acuity 8 Type Numeric Numeric Numeric Decimals 2 2 Values None None None Missing None None None Align Right Right Right Measure Unknown Unknown Unknown Role Input Input 2 8 8 3 8 2 8 Input 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 Data View Variable View IBM SPSS Statistics Processor is ready Unicode:ON

Name the groups now by going to values.

X *Untitled1 [DataSetO] - IBM SPSS Statistics Data Editor File Edit View Data Transform Analyze Graphs Utilities Extensions Window Help EEEEEEEE Width Label Columns Role 1 8 Name Exercise Diet Acuity 8 Type Numeric Numeric Numeric Decimals 2 2 Values None None None Missing None None None Align Right Right Right Measure Unknown Unknown Unknown Input Input 2 8 8 3 8 2 8 Input 4 5 6 7 8 9 Value Labels x 10 11 -Value Labels 12 Value: Spelling... 13 14 Label: 15 16 1.00 = "< 60 minutes" 2.00 = "60 minutes or more" Add 17 18 Change Remove 19 20 21 OK Cancel Help 22 23 24 25 26 27 28 29 30 31 32 Data View Variable View IBM SPSS Statistics Processor is ready Unicode:ON

X *Untitled1 [DataSetO] - IBM SPSS Statistics Data Editor File Edit View Data Transform Analyze Graphs Utilities Extensions Window Help Width Label Missing Columns Role 1 8 Name Exercise Diet Acuity 8 Type Numeric Numeric Numeric Decimals 2 2 Values {1.00, < 60... None None None None Align Right Right Right Measure Unknown Unknown Unknown Input Input 2 8 None 8 3 8 2 8 Input 4 5 6 7 8 9 Value Labels x 10 11 -Value Labels 12 Value: Spelling... 13 14 Label: 15 16 Add 1.00 = " < 30% fat" 2.00 = "30%-60% fat" 3.00 = ">60% fat" 17 18 Change Remove 19 20 21 OK Cancel Help 22 23 24 25 26 27 28 29 30 31 32 Data View Variable View IBM SPSS Statistics Processor is ready Unicode:ON

Run the following test. Go to Univariate.

- х HH Visible: 3 of 3 Variables Diet var var var var var var var var var var var var 1 1.00 ta *Untitled1 [DataSetO] - IBM SPSS Statistics Data Editor File Edit View Data Transform Analyze Graphs Utilities Extensions Window Help Reports A 14 Descriptive Statistics Bayesian Statistics Exercise Tables var var var 1.00 1.00 Compare Means 2 1.00 1.00 General Linear Model GM Univariate... 3 1.00 1.00 Generalized Linear Models GM Multivariate... 4 1.00 1.00 Mixed Models He Repeated Measures... 5 1.00 1.00 Correlate 6 2.00 1.00 Variance Components... Regression 7 2.00 Loglinear 8 2.00 1.00 Neural Networks 9 2.00 1.00 Classify 10 2.00 1.00 Dimension Reduction 11 1.00 2.00 Scale 12 1.00 2.00 13 1.00 2.00 Nonparametric Tests 14 1.00 2.00 Forecasting 15 1.00 2.00 Survival 16 2.00 2.00 Multiple Response 17 2.00 2.00 € Missing Value Analysis... 18 2.00 2.00 Multiple Imputation 19 2.00 2.00 Complex Samples 20 2.00 2.00 Simulation... 21 1.00 3.00 Quality Control 22 1.00 3.00 ROC Curve... 23 1.00 3.00 Spatial and Temporal Modeling.. 24 1.00 3.00 Direct Marketing 25 1.00 3.00 Tovu 26 2.00 3.00 5.00 27 2.00 3.00 7.00 28 2.00 3.00 5.00 29 2.00 3.00 5.00 30 2.00 3.00 6.00 31 N Data View Variable View Univariate IBM SPSS Statistics Processor is ready Unicode:ON

Enter the variables.

te *Untitled1 [DataSetO] - IBM SPSS Statistics Data Editor File Edit View Data Transform Analyze Graphs Utilities Extensions Window Help H A 14 HHH Visible: 3 of 3 Variables Diet var var var var var var var var var var var var var var var var var 1 Exercise 1.00 1.00 1.00 2 Acuity 4.00 4.00 2.00 4.00 3.00 1.00 1.00 1.00 1.00 1.00 3 Univariate X 4 1.00 5 Dependent Variable: Acuity Model... 6 1.00 7 Contrasts. Plots... 1.00 6.00 5.00 4.00 1.00 2.00 2.00 2.00 2.00 2.00 1.00 Fixed Factor(s): Exercise Diet 8 1.00 Post Hoc.. 9 4.00 10 Random Factor(s): 1.00 1.00 2.00 2.00 2.00 5.00 3.00 11 EM Means... Save... Options... Bootstrap.. 12 1.00 13 1.00 Covariate(s): 14 15 16 17 1.00 1.00 2.00 2.00 2.00 2.00 2.00 1.00 2.00 2.00 2.00 2.00 2.00 WLS Weight: 1.00 2.00 2.00 3.00 8.00 8.00 7.00 8.00 6.00 2.00 2.00 2.00 18 19 OK Paste Reset Cancel Help 20 2.00 2.00 3.00 3.00 21 22 1.00 23 1.00 24 25 26 3.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 1.00 1.00 2.00 2.00 2.00 2.00 2.00 27 2.00 1.00 5.00 7.00 5.00 5.00 6.00 28 29 30 31 Data View Variable View IBM SPSS Statistics Processor is ready Unicode:ON

Go to Post Hoc and select both variables and check Tukey.

te *Untitled1 [DataSetO] - IBM SPSS Statistics Data Editor File Edit View Data Transform Analyze Graphs Utilities Extensions Window Help H A 14 HHH Visible: 3 of 3 Variables Diet var var var var var var var var var var var var var var var var var 1 Exercise 1.00 1.00 1.00 2 Acuity 4.00 4.00 2.00 4.00 3.00 1.00 1.00 1.00 1.00 1.00 3 X Univariate Univariate: Post Hoc Multiple Comparisons for Observed Means 4 1.00 Х 5 6 1.00 sts... Factor(s): Exercise Diet Post Hoc Tests for: Exercise Diet 7 6.00 5.00 4.00 1.00 1.00 2.00 2.00 2.00 2.00 2.00 1.00 8 1.00 OC... 9 4.00 ns... 10 1.00 1.00 2.00 2.00 2.00 5.00 3.00 11 12 1.00 S... 13 1.00 ap... 14 1.00 1.00 2.00 2.00 2.00 2.00 2.00 1.00 15 16 17 2.00 2.00 2.00 2.00 2.00 1.00 2.00 2.00 3.00 8.00 8.00 7.00 8.00 6.00 2.00 2.00 2.00 Equal Variances Assumed LSD S-N-K Waller-Duncan Bonferroni Tukey Type I/Type ll Error Ratio: 100 Sidak Tukey's-b Dunnett Scheffe Duncan Control Category Last R-E-G-W-F Hochberg's GT2 Test DR-E-G-W-Q Gabriel 2-sided Control > Control 18 19 Equal Variances Not Assumed Tamhane's T2 Dunnett's T3 20 Games-Howell Dunnett's C 2.00 2.00 3.00 3.00 21 22 1.00 Help Continue Cancel 23 1.00 24 25 26 3.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 1.00 1.00 2.00 2.00 2.00 2.00 2.00 27 2.00 1.00 5.00 7.00 5.00 5.00 6.00 28 29 30 31 Data View Variable View IBM SPSS Statistics Processor is ready Unicode:ON

Click continue.

Go to options and check the below option.

te *Untitled1 [DataSetO] - IBM SPSS Statistics Data Editor File Edit View Data Transform Analyze Graphs Utilities Extensions Window Help H A 14 HH Visible: 3 of 3 Variables Diet var Univariate: Options X var var var var var var var var var var 1 Exercise 1.00 1.00 1.00 2 Acuity 4.00 4.00 2.00 4.00 3.00 1.00 1.00 1.00 1.00 1.00 3 U Univariate Х 4 1.00 5 Homogeneity tests Spread vs. level plot Residual plot Lack of fit General estimable function Dependent Variable: Acuity Model... 6 1.00 Display Descriptive statistics Estimates of effect size Observed power Parameter estimates Contrast coefficient matrix Heteroskedasticity Tests Modified Breusch-Pagan test Model... 7 6.00 5.00 4.00 Contrasts Plots... 1.00 1.00 2.00 2.00 2.00 2.00 2.00 1.00 Fixed Factor(s): Exercise Diet 8 1.00 Post Hoc.. 9 4.00 10 EM Means... Ftest Model... White's test Random Factor(s): 1.00 1.00 2.00 2.00 2.00 11 5.00 3.00 1.00 2.00 Breusch-Pagan test Model Save... Options... 12 1.00 13 1.00 Bootstrap.. Covariate(s): 14 Parameter estimates with robust standard errors HCO HC1 15 16 17 1.00 1.00 2.00 2.00 2.00 2.00 2.00 1.00 2.00 2.00 2.00 2.00 2.00 WLS Weight: 2.00 3.00 8.00 8.00 7.00 8.00 6.00 2.00 2.00 2.00 HC2 HC3 HC4 18 19 OK Paste Reset Cancel Help 20 Significance level: 1.05 Confidence intervals are 95.0% 2.00 2.00 3.00 3.00 21 Continue Cancel Help 22 1.00 23 1.00 24 25 26 3.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 1.00 1.00 2.00 2.00 2.00 2.00 2.00 27 2.00 1.00 5.00 7.00 5.00 5.00 6.00 28 29 30 31 Data View Variable View IBM SPSS Statistics Processor is ready Unicode:ON

Click continue.

Click OK.

The output is:

N 15 Between-Subjects Factors Value Label Exercise 1.00 < 60 minutes 2.00 60 minutes or more Diet 1.00 < 30% fat 2.00 30% - 60% fat 3.00 > 60% fat 15 10 10 10 Tests of Between-Subjects Effects Dependent Variable: Acuity Type III Sum Source of Squares df Mean Square F Corrected Model 114.800 5 22.960 34.440 Intercept 529.200 529.200 793.800 Exercise 90.133 90.133 135.200 Sig. Partial Eta Squared .000 .878 .000 .971 1 1 .000 .849 Diet 6.200 2 3.100 4.650 .020 .279 Exercise * Diet 18.467 2 9.233 13.850 .000 .536 Error 16.000 24 .667 Total 660.000 30 Corrected Total 130.800 29 a. R Squared = .878 (Adjusted R Squared = .852)

Post Hoc Tests Diet Multiple Comparisons Dependent Variable: Acuity Tukey HSD 95% Confidence Interval Sig. Lower Bound Upper Bound -1.6119 .2119 .156 .526 -.5119 1.3119 .156 - 2119 Mean Difference (1- (1) Diet (J) Diet J) Std. Error < 30% fat 30% - 60% fat -.7000 .36515 > 60% fat 4000 .36515 30% - 60% fat < 30% fat .7000 .36515 > 60% fat 1.1000 .36515 > 60% fat < 30% fat - 4000 .36515 30% - 60% fat -1.1000 .36515 Based on observed means. The error term is Mean Square(Error) = .667. *. The mean difference is significant at the .05 level. 1.6119 2.0119 .016 .1881 .526 .5119 -1.3119 -2.0119 .016 - 1881

(a) There is a significant main effect of Exercise. (F (1, 24) = 135.2, p = 0.000)

There is a significant main effect of Diet. (F (2, 24) = 4.650, p = 0.020)

There is a significant interaction effect. (F (2, 24) = 13.850, p = 0.000)

(b) There is a significant mean difference between 30%-60% fat and > 60% fat.

(c) The effect size for Exercise is large.

The effect size for Diet is large.

Please give me a thumbs-up if this helps you out. Thank you!

Answer 2

Enter the data into SPSS.

- Х ta *Untitled1 [DataSetO] - IBM SPSS Statistics Data Editor File Edit View Data Transform Analyze Graphs Utilities Extensions Window Help A 14 HH 5: VAR00002 1.00 Visible: 3 of 3 Variables var var var var var var var var var var var var var var var var var VAR0000 1 1.00 VAR0000 3 4.00 1 2 3 4 VAR0000 2 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 5 1.00 1.00 1.00 1.00 2.00 2.00 2.00 2.00 2.00 6 4.00 2.00 4.00 3.00 6.00 5.00 4.00 4.00 5.00 7 8 9 10 11 2.00 12 13 1.00 1.00 1.00 2.00 2.00 14 1.00 1.00 2.00 2.00 2.00 15 3.00 1.00 2.00 2.00 3.00 8.00 8.00 7.00 8.00 6.00 16 17 18 19 2.00 2.00 2.00 2.00 2.00 2.00 2.00 2.00 3.00 20 21 2.00 1.00 1.00 1.00 22 3.00 23 2.00 2.00 2.00 2.00 1.00 5.00 24 25 1.00 1.00 2.00 2.00 26 3.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 27 7.00 5.00 28 29 2.00 2.00 2.00 5.00 6.00 30 Data View Variable View IBM SPSS Statistics Processor is ready Unicode:ON

Name the variables by going to Variable VIew.

- Х ta *Untitled1 [DataSetO] - IBM SPSS Statistics Data Editor File Edit View Data Transform Analyze Graphs Utilities Extensions Window Help Width Label Columns 1 8 Name Exercise Diet Acuity 8 Type Numeric Numeric Numeric Decimals 2 2 Values None None None Missing None None None Align Right Right Right Measure Unknown Unknown Unknown Role Input Input 2 8 8 3 8 2 8 Input 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 Data View Variable View IBM SPSS Statistics Processor is ready Unicode:ON

Name the groups now by going to values.

X *Untitled1 [DataSetO] - IBM SPSS Statistics Data Editor File Edit View Data Transform Analyze Graphs Utilities Extensions Window Help EEEEEEEE Width Label Columns Role 1 8 Name Exercise Diet Acuity 8 Type Numeric Numeric Numeric Decimals 2 2 Values None None None Missing None None None Align Right Right Right Measure Unknown Unknown Unknown Input Input 2 8 8 3 8 2 8 Input 4 5 6 7 8 9 Value Labels x 10 11 -Value Labels 12 Value: Spelling... 13 14 Label: 15 16 1.00 = "< 60 minutes" 2.00 = "60 minutes or more" Add 17 18 Change Remove 19 20 21 OK Cancel Help 22 23 24 25 26 27 28 29 30 31 32 Data View Variable View IBM SPSS Statistics Processor is ready Unicode:ON

X *Untitled1 [DataSetO] - IBM SPSS Statistics Data Editor File Edit View Data Transform Analyze Graphs Utilities Extensions Window Help Width Label Missing Columns Role 1 8 Name Exercise Diet Acuity 8 Type Numeric Numeric Numeric Decimals 2 2 Values {1.00, < 60... None None None None Align Right Right Right Measure Unknown Unknown Unknown Input Input 2 8 None 8 3 8 2 8 Input 4 5 6 7 8 9 Value Labels x 10 11 -Value Labels 12 Value: Spelling... 13 14 Label: 15 16 Add 1.00 = " < 30% fat" 2.00 = "30%-60% fat" 3.00 = ">60% fat" 17 18 Change Remove 19 20 21 OK Cancel Help 22 23 24 25 26 27 28 29 30 31 32 Data View Variable View IBM SPSS Statistics Processor is ready Unicode:ON

Run the following test. Go to Univariate.

- х HH Visible: 3 of 3 Variables Diet var var var var var var var var var var var var 1 1.00 ta *Untitled1 [DataSetO] - IBM SPSS Statistics Data Editor File Edit View Data Transform Analyze Graphs Utilities Extensions Window Help Reports A 14 Descriptive Statistics Bayesian Statistics Exercise Tables var var var 1.00 1.00 Compare Means 2 1.00 1.00 General Linear Model GM Univariate... 3 1.00 1.00 Generalized Linear Models GM Multivariate... 4 1.00 1.00 Mixed Models He Repeated Measures... 5 1.00 1.00 Correlate 6 2.00 1.00 Variance Components... Regression 7 2.00 Loglinear 8 2.00 1.00 Neural Networks 9 2.00 1.00 Classify 10 2.00 1.00 Dimension Reduction 11 1.00 2.00 Scale 12 1.00 2.00 13 1.00 2.00 Nonparametric Tests 14 1.00 2.00 Forecasting 15 1.00 2.00 Survival 16 2.00 2.00 Multiple Response 17 2.00 2.00 € Missing Value Analysis... 18 2.00 2.00 Multiple Imputation 19 2.00 2.00 Complex Samples 20 2.00 2.00 Simulation... 21 1.00 3.00 Quality Control 22 1.00 3.00 ROC Curve... 23 1.00 3.00 Spatial and Temporal Modeling.. 24 1.00 3.00 Direct Marketing 25 1.00 3.00 Tovu 26 2.00 3.00 5.00 27 2.00 3.00 7.00 28 2.00 3.00 5.00 29 2.00 3.00 5.00 30 2.00 3.00 6.00 31 N Data View Variable View Univariate IBM SPSS Statistics Processor is ready Unicode:ON

Enter the variables.

te *Untitled1 [DataSetO] - IBM SPSS Statistics Data Editor File Edit View Data Transform Analyze Graphs Utilities Extensions Window Help H A 14 HHH Visible: 3 of 3 Variables Diet var var var var var var var var var var var var var var var var var 1 Exercise 1.00 1.00 1.00 2 Acuity 4.00 4.00 2.00 4.00 3.00 1.00 1.00 1.00 1.00 1.00 3 Univariate X 4 1.00 5 Dependent Variable: Acuity Model... 6 1.00 7 Contrasts. Plots... 1.00 6.00 5.00 4.00 1.00 2.00 2.00 2.00 2.00 2.00 1.00 Fixed Factor(s): Exercise Diet 8 1.00 Post Hoc.. 9 4.00 10 Random Factor(s): 1.00 1.00 2.00 2.00 2.00 5.00 3.00 11 EM Means... Save... Options... Bootstrap.. 12 1.00 13 1.00 Covariate(s): 14 15 16 17 1.00 1.00 2.00 2.00 2.00 2.00 2.00 1.00 2.00 2.00 2.00 2.00 2.00 WLS Weight: 1.00 2.00 2.00 3.00 8.00 8.00 7.00 8.00 6.00 2.00 2.00 2.00 18 19 OK Paste Reset Cancel Help 20 2.00 2.00 3.00 3.00 21 22 1.00 23 1.00 24 25 26 3.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 1.00 1.00 2.00 2.00 2.00 2.00 2.00 27 2.00 1.00 5.00 7.00 5.00 5.00 6.00 28 29 30 31 Data View Variable View IBM SPSS Statistics Processor is ready Unicode:ON

Go to Post Hoc and select both variables and check Tukey.

te *Untitled1 [DataSetO] - IBM SPSS Statistics Data Editor File Edit View Data Transform Analyze Graphs Utilities Extensions Window Help H A 14 HHH Visible: 3 of 3 Variables Diet var var var var var var var var var var var var var var var var var 1 Exercise 1.00 1.00 1.00 2 Acuity 4.00 4.00 2.00 4.00 3.00 1.00 1.00 1.00 1.00 1.00 3 X Univariate Univariate: Post Hoc Multiple Comparisons for Observed Means 4 1.00 Х 5 6 1.00 sts... Factor(s): Exercise Diet Post Hoc Tests for: Exercise Diet 7 6.00 5.00 4.00 1.00 1.00 2.00 2.00 2.00 2.00 2.00 1.00 8 1.00 OC... 9 4.00 ns... 10 1.00 1.00 2.00 2.00 2.00 5.00 3.00 11 12 1.00 S... 13 1.00 ap... 14 1.00 1.00 2.00 2.00 2.00 2.00 2.00 1.00 15 16 17 2.00 2.00 2.00 2.00 2.00 1.00 2.00 2.00 3.00 8.00 8.00 7.00 8.00 6.00 2.00 2.00 2.00 Equal Variances Assumed LSD S-N-K Waller-Duncan Bonferroni Tukey Type I/Type ll Error Ratio: 100 Sidak Tukey's-b Dunnett Scheffe Duncan Control Category Last R-E-G-W-F Hochberg's GT2 Test DR-E-G-W-Q Gabriel 2-sided Control > Control 18 19 Equal Variances Not Assumed Tamhane's T2 Dunnett's T3 20 Games-Howell Dunnett's C 2.00 2.00 3.00 3.00 21 22 1.00 Help Continue Cancel 23 1.00 24 25 26 3.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 1.00 1.00 2.00 2.00 2.00 2.00 2.00 27 2.00 1.00 5.00 7.00 5.00 5.00 6.00 28 29 30 31 Data View Variable View IBM SPSS Statistics Processor is ready Unicode:ON

Click continue.

Go to options and check the below option.

te *Untitled1 [DataSetO] - IBM SPSS Statistics Data Editor File Edit View Data Transform Analyze Graphs Utilities Extensions Window Help H A 14 HH Visible: 3 of 3 Variables Diet var Univariate: Options X var var var var var var var var var var 1 Exercise 1.00 1.00 1.00 2 Acuity 4.00 4.00 2.00 4.00 3.00 1.00 1.00 1.00 1.00 1.00 3 U Univariate Х 4 1.00 5 Homogeneity tests Spread vs. level plot Residual plot Lack of fit General estimable function Dependent Variable: Acuity Model... 6 1.00 Display Descriptive statistics Estimates of effect size Observed power Parameter estimates Contrast coefficient matrix Heteroskedasticity Tests Modified Breusch-Pagan test Model... 7 6.00 5.00 4.00 Contrasts Plots... 1.00 1.00 2.00 2.00 2.00 2.00 2.00 1.00 Fixed Factor(s): Exercise Diet 8 1.00 Post Hoc.. 9 4.00 10 EM Means... Ftest Model... White's test Random Factor(s): 1.00 1.00 2.00 2.00 2.00 11 5.00 3.00 1.00 2.00 Breusch-Pagan test Model Save... Options... 12 1.00 13 1.00 Bootstrap.. Covariate(s): 14 Parameter estimates with robust standard errors HCO HC1 15 16 17 1.00 1.00 2.00 2.00 2.00 2.00 2.00 1.00 2.00 2.00 2.00 2.00 2.00 WLS Weight: 2.00 3.00 8.00 8.00 7.00 8.00 6.00 2.00 2.00 2.00 HC2 HC3 HC4 18 19 OK Paste Reset Cancel Help 20 Significance level: 1.05 Confidence intervals are 95.0% 2.00 2.00 3.00 3.00 21 Continue Cancel Help 22 1.00 23 1.00 24 25 26 3.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 1.00 1.00 2.00 2.00 2.00 2.00 2.00 27 2.00 1.00 5.00 7.00 5.00 5.00 6.00 28 29 30 31 Data View Variable View IBM SPSS Statistics Processor is ready Unicode:ON

Click continue.

Click OK.

The output is:

N 15 Between-Subjects Factors Value Label Exercise 1.00 < 60 minutes 2.00 60 minutes or more Diet 1.00 < 30% fat 2.00 30% - 60% fat 3.00 > 60% fat 15 10 10 10 Tests of Between-Subjects Effects Dependent Variable: Acuity Type III Sum Source of Squares df Mean Square F Corrected Model 114.800 5 22.960 34.440 Intercept 529.200 529.200 793.800 Exercise 90.133 90.133 135.200 Sig. Partial Eta Squared .000 .878 .000 .971 1 1 .000 .849 Diet 6.200 2 3.100 4.650 .020 .279 Exercise * Diet 18.467 2 9.233 13.850 .000 .536 Error 16.000 24 .667 Total 660.000 30 Corrected Total 130.800 29 a. R Squared = .878 (Adjusted R Squared = .852)

Post Hoc Tests Diet Multiple Comparisons Dependent Variable: Acuity Tukey HSD 95% Confidence Interval Sig. Lower Bound Upper Bound -1.6119 .2119 .156 .526 -.5119 1.3119 .156 - 2119 Mean Difference (1- (1) Diet (J) Diet J) Std. Error < 30% fat 30% - 60% fat -.7000 .36515 > 60% fat 4000 .36515 30% - 60% fat < 30% fat .7000 .36515 > 60% fat 1.1000 .36515 > 60% fat < 30% fat - 4000 .36515 30% - 60% fat -1.1000 .36515 Based on observed means. The error term is Mean Square(Error) = .667. *. The mean difference is significant at the .05 level. 1.6119 2.0119 .016 .1881 .526 .5119 -1.3119 -2.0119 .016 - 1881

(a) There is a significant main effect of Exercise. (F (1, 24) = 135.2, p = 0.000)

There is a significant main effect of Diet. (F (2, 24) = 4.650, p = 0.020)

There is a significant interaction effect. (F (2, 24) = 13.850, p = 0.000)

(b) There is a significant mean difference between 30%-60% fat and > 60% fat.

(c) The effect size for Exercise is large.

The effect size for Diet is large.

Please give me a thumbs-up if this helps you out. Thank you!