Question

***Tutorial/screenshot of how to input this into SPSS! ****

3. A researcher is interested to learn if the level of interaction a women in her 20s has with her mother influences her life satisfaction ratings. Below is a list of women who fit into each of four levels of interaction. Conduct a One-way ANOVA on the data to determine if there are differences between groups; does the level of interaction influence women's ratings of life satisfaction? Report the results of the One-way ANOVA. If significance is found, run the appropriate post-hoc test and report between what levels the significant differences were found. Report the test statistic using correct APA formatting and interpret the results. No Low Moderate High Interaction Interaction Interaction Interaction 2 3 3 10 10 4 5 2 8 4 5 2 2 8 2 3 4 7 10 8 8 4 6 5 ديا 9 4 1 7 8 9 8 4 4 نرا 8

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 FRA 41 : VAR00002 Visible: 2 of 2 Variables var var var var var var var var var var var var var var var var var var VAR0000 1 2.00 4.00 1 2 VAR0000 2 1.00 1.00 1.00 1.00 1.00 3 4 5 6 7 8 9 10 1.00 1.00 1.00 1.00 1.00 4.00 4.00 7.00 8.00 1.00 1.00 8.00 4.00 3.00 3.00 5.00 1.00 2.00 2.00 7.00 8.00 6.00 11 12 2.00 2.00 2.00 13 14 2.00 2.00 15 16 17 18 19 2.00 2.00 2.00 2.00 2.00 20 21 22 23 24 5.00 3.00 10.00 2.00 1.00 2.00 3.00 10.00 8.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 25 26 27 28 29 4.00 3.00 3.00 30 3.00 Data View Variable View IBM SPSS Statistics Processor is ready Unicode:ON

- ta *Untitled1 [DataSetO] - IBM SPSS Statistics Data Editor File Edit View Data Transform Analyze х Graphs Utilities Extensions Window Help A 14 HH 41 : VAR00002 Visible: 2 of 2 Variables var var var var var var var var var var var var var var var var var var VAR0000 1 5.00 VAR0000 2 2.00 13 14 2.00 2.00 15 16 2.00 2.00 17 18 1.00 2.00 2.00 7.00 8.00 6.00 5.00 3.00 10.00 19 20 2.00 2.00 2.00 3.00 3.00 21 22 23 3.00 24 25 26 27 2.00 1.00 2.00 3.00 10.00 8.00 4.00 3.00 9.00 10.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 4.00 28 29 30 31 32 4.00 33 4.00 4.00 34 35 4.00 36 8.00 5.00 8.00 4.00 9.00 4.00 1.00 37 38 4.00 4.00 4.00 4.00 4.00 39 40 8.00 41 42 Data View Variable View IBM SPSS Statistics Processor is ready Unicode:ON

Now, go to Variable View at the bottom next to the Data View option and name the variables.

- х Х ta *Untitled1 [DataSetO] - IBM SPSS Statistics Data Editor File Edit View Data Transform Analyze Graphs Utilities Extensions Window Help Type Width Label Columns Role Name Data 1 8 Decimals 2 2 Values None None Numeric Numeric Missing None None 8 Align Right Right Measure Unknown Unknown Input 2 Groups 8 8 Input 3 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

Also, name the groups by going to Values under Groups option.

X ta *Untitled1 [DataSetO] - IBM SPSS Statistics Data Editor File Edit View Data Transform Analyze Graphs Utilities Extensions Window Help Type Width Label Columns Role 1 Name Data Groups 8 Decimals 2 2 Values None None Numeric Numeric Missing None None 8 Align Right Right Measure Unknown Unknown Input 2 8 8 Input 3 4 5 6 7 8 9 Value Labels x 10 11 -Value Labels 12 Value: 4 Spelling... 13 14 Label: High Interaction 15 16 Add 1.00 = "No Interaction" 2.00 = "Low Interaction" 3.00 = "Moderate Interaction" 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 ta *Untitled1 [DataSetO] - IBM SPSS Statistics Data Editor File Edit View Data Transform Analyze Graphs Utilities Extensions Window Help LES! Type Width Label Columns Role Name Data Groups Decimals 2 1 8 Values Missing None None {1.00, No Int... None Numeric Numeric 8 Align Right Right Measure Unknown Unknown Input Input 2 8 2 8 3 4 5 6 Value Labels 7 Value Labels 8 Value: Spelling... 9 10 Label: 11 12 Add 1.00 = "No Interaction" 2.00 = "Low Interaction" 3.00 = "Moderate Interaction" 4.00 = "High Interaction" 13 Change 14 Remove 15 16 17 OK Cancel Help 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

Now, let's perform the test. Go to Data View > Analyze > Compare Means > One Way ANOVA.

- Х Window Help A 14 Visible: 2 of 2 Variables hr var var var var var var var var var var var var var var M Means... t One-Sample T Test... Independent Samples 1 Test. + Summary Independent Samples T Test Paired-Samples T Test... E One-Way ANOVA. ta *Untitled1 [DataSetO] - IBM SPSS Statistics Data Editor File Edit View Data Transform Analyze Graphs Utilities Extensions Reports Descriptive Statistics Bayesian Statistics Data Groups Tables 13 5.00 2.00 Compare Means 14 1.00 2.00 General Linear Model 15 2.00 2.00 Generalized Linear Models 16 2.00 2.00 Mixed Models 17 7.00 2.00 Correlate 18 8.00 2.00 Regression 19 6.00 2.00 Loglinear 20 5.00 2.00 Neural Networks 21 3.00 3.00 Classify 22 10.00 3.00 Dimension Reduction 23 2.00 3.00 Scale 24 1.00 3.00 25 2.00 3.00 Nonparametric Tests 26 3.00 3.00 Forecasting 27 10.00 3.00 Survival 28 8.00 3.00 Multiple Response 29 4.00 3.00 Missing Value Analysis... 30 3.00 3.00 Multiple Imputation 31 9.00 4.00 Complex Samples 32 10.00 4.00 Simulation... 33 8.00 4.00 Quality Control 34 5.00 4.00 ROC Curve 35 8.00 4.00 Spatial and Temporal Modeling. 36 4.00 4.00 Direct Marketing 37 9.00 4.00 38 4.00 4.00 39 1.00 4.00 40 8.00 4.00 - 41 42 43 Data View Variable View One-Way ANOVA... IBM SPSS Statistics Processor is ready Unicode:ON

Select the groups.

te *Untitled1 [DataSetO] - IBM SPSS Statistics Data Editor File Edit View Data Transform Analyze Graphs Utilities Extensions Window Help A 14 HHH Visible: 2 of 2 Variables var var var var var var var var var var var var var var var var var var 13 14 15 Groups 2.00 2.00 2.00 2.00 2.00 16 One-Way ANOVA Х 17 # One-Way ANOVA: Post Hoc Multiple Comparisons х 18 Data 5.00 1.00 2.00 2.00 7.00 8.00 6.00 5.00 3.00 10.00 2.00 1.00 2.00 Dependent List: Data Contrasts.. ERO 19 20 Post Hoc. 21 2.00 2.00 2.00 3.00 3.00 3.00 3.00 3.00 Options... Bootstrap... 22 Equal Variances Assumed LSD DS-N-K Bonferroni Tukey Sidak Tukey's-b Scheffe Duncan R-E-G-WF Hochberg's GT2 R-E-G-WQ Gabriel 23 Waller-Duncan Type l/Type II Error Ratio: 100 Dunnett Control Category: Last Test 2-sided <Control > Control 24 t 25 Factor Groups 26 27 OK Paste Reset Cancel Help 28 Equal Variances Not Assumed Tamhane's T2 Dunnett's T3 Games-Howell Dunnett's C 29 3.00 10.00 8.00 4.00 3.00 9.00 10.00 3.00 3.00 3.00 3.00 3.00 4.00 4.00 4.00 30 Significance level: 0.05 31 Continue Cancel Help 32 33 34 4.00 35 36 8.00 5.00 8.00 4.00 9.00 4.00 1.00 8.00 37 4.00 4.00 4.00 4.00 4.00 4.00 38 39 40 41 42 43 Data View Variable View IBM SPSS Statistics Processor is ready Unicode:ON

Go to Post Hoc and check Tukey.

te *Untitled1 [DataSetO] - IBM SPSS Statistics Data Editor File Edit View Data Transform Analyze Graphs Utilities Extensions Window Help A 14 HHH Visible: 2 of 2 Variables var var var var var var var var var var var var var var var var var var 13 14 15 Groups 2.00 2.00 2.00 2.00 2.00 16 One-Way ANOVA X 17 One-Way ANOVA: Post Hoc Multiple Comparisons х 18 Data 5.00 1.00 2.00 2.00 7.00 8.00 6.00 5.00 3.00 10.00 2.00 1.00 2.00 Dependent List: Data Contrasts.. ERO 19 20 21 2.00 2.00 2.00 3.00 3.00 3.00 3.00 3.00 Post Hoc. Options... Bootstrap... 22 Equal Variances Assumed DLSD S-N-K Bonferroni Tukey Sidak Tukey's-b Scheffe Duncan R-E-G-WF Hochberg's GT2 R-E-G-WQ Gabriel 23 Waller-Duncan Type l/Type II Error Ratio: 100 Dunnett Control Category: Last Test 2-sided <Control > Control 24 25 Factor Groups 26 27 OK Paste Reset Cancel Help 28 Equal Variances Not Assumed Tamhane's T2 Dunnett's T3 Games-Howell Dunnett's C 29 3.00 10.00 8.00 4.00 3.00 9.00 10.00 3.00 3.00 3.00 3.00 3.00 4.00 4.00 4.00 30 Significance level: 0.05 31 Continue Cancel Help 32 33 34 4.00 35 36 8.00 5.00 8.00 4.00 9.00 4.00 1.00 8.00 37 4.00 4.00 4.00 4.00 4.00 4.00 38 39 40 41 42 43 Data View Variable View IBM SPSS Statistics Processor is ready Unicode:ON

Click Continue and OK.

The output is:

*Output 1 [Document1] - IBM SPSS Statistics Viewer х File Edit View Data Transform Insert Format Analyze Graphs Utilities Extensions Window Help + TH Oneway [DataSeto] *** O- & Output Log ÉE Oneway Title Notes Active Dataset LO ANOVA ÉE Post Hoc Tests Title Multiple Com & Homogeneou Title LO Data ANOVA Data Sum of Squares df Mean Square F Sig. .... 38.275 3 12.758 1.570 .213 Between Groups Within Groups Total 36 8.125 292.500 330.775 39 Post Hoc Tests Multiple Comparisons Dependent Variable: Data Tukey HSD 95% Confidence Interval Mean Difference (1- J) Sig. Lower Bound Upper Bound (1) Groups No Interaction Std. Error 1.27475 1.000 -3.3332 3.5332 .10000 - 30000 -2.30000 1995 -3.7332 3.1332 1.27475 1.27475 .288 -5.7332 1.1332 Low Interaction -10000 1.27475 1.000 -3.5332 3.3332 - 40000 1.27475 989 -3.8332 3.0332 (J) Groups Low Interaction Moderate Interaction High Interaction No Interaction Moderate Interaction High Interaction No Interaction Low Interaction High Interaction No Interaction Low Interaction Moderate Interaction -2.40000 1.27475 253 -5.8332 1.0332 Moderate Interaction 30000 1.27475 .995 -3.1332 3.7332 40000 1.27475 .989 -3.0332 3.8332 -2.00000 1.27475 409 -5.4332 1.4332 High Interaction 2.30000 1.27475 288 -1.1332 5.7332 2.40000 1.27475 .253 -1.0332 5.8332 2.00000 1.27475 .409 -1.4332 5.4332 Homogeneous Subsets IBM SPSS Statistics Processor is ready Unicode:ON

We don't need the Post hoc analysis here but you know now how to do it if there is a significant difference between the groups.

There is no significant difference between the groups. (p = 0.213 > .05)

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