Chat with us, powered by LiveChat Please write up and interpret the results for the following repeated measures ANOVA, using the Activity 6.sav data set. Score_0 through Score _12 is the repeated measure (7 levels) and gender is a fixed factor. Discuss especially both main effects and the presence/absence of an interaction between the two. All of the relevant data is given below. Within-Subjects Factors Measure: MEASURE_1 Score Dependent Variable 1 Score_0 2 Score_2 3 Score_4 4 Score_6 5 Score_8 6 Score_10 7 Score_12 Between-Subjects Factors Value Label N Gender F Female 8 M Male 4 Descriptive Statistics Gender Mean Std. Deviation N Pre-test score Female 28.25 8.172 8 Male 32.25 19.432 4 Total 29.58 12.221 12 Week 2 score Female 29.75 6.319 8 Male 39.75 13.889 4 Total 33.08 10.113 12 Week 4 score Female 33.63 5.181 8 Male 39.00 16.432 4 Total 35.42 9.885 12 Week 6 score Female 35.88 6.556 8 Male 35.25 17.802 4 Total 35.67 10.671 12 Week 8 score Female 39.38 5.370 8 Male 41.00 16.633 4 Total 39.92 9.718 12 Week 10 score Female 44.88 5.743 8 Male 47.25 13.961 4 Total 45.67 8.690 12 Week 12 score Female 48.38 8.518 8 Male 53.25 13.793 4 Total 50.00 10.189 12 Multivariate Testsa Effect Value F Hypothesis df Error df Sig. Score Pillai's Trace .961 20.439b 6.000 5.000 .002 Wilks' Lambda .039 20.439b 6.000 5.000 .002 Hotelling's Trace 24.526 20.439b 6.000 5.000 .002 Roy's Largest Root 24.526 20.439b 6.000 5.000 .002 Score * Gender Pillai's Trace .491 .804b 6.000 5.000 .607 Wilks' Lambda .509 .804b 6.000 5.000 .607 Hotelling's Trace .965 .804b 6.000 5.000 .607 Roy's Largest Root .965 .804b 6.000 5.000 .607 a. Design: Intercept + Gender Within Subjects Design: Score b. Exact statistic Mauchly's Test of Sphericitya Measure: MEASURE_1 Within Subjects Effect Mauchly's W Approx. Chi-Square df Sig. Epsilonb Greenhouse-Geisser Huynh-Feldt Lower-bound Score .001 56.876 20 .000 .441 .674 .167 Tests the null hypothesis that the error covariance matrix of the orthonormalized transformed dependent variables is proportional to an identity matrix. a. Design: Intercept + Gender Within Subjects Design: Score b. May be used to adjust the degrees of freedom for the averaged tests of significance. Corrected tests are displayed in the Tests of Within-Subjects Effects table. Tests of Within-Subjects Effects Measure: MEASURE_1 Source Type III Sum of Squares df Mean Square F Sig. Score Sphericity Assumed 3246.536 6 541.089 20.609 .000 Greenhouse-Geisser 3246.536 2.646 1227.164 20.609 .000 Huynh-Feldt 3246.536 4.045 802.659 20.609 .000 Lower-bound 3246.536 1.000 3246.536 20.609 .001 Score * Gender Sphericity Assumed 182.155 6 30.359 1.156 .342 Greenhouse-Geisser 182.155 2.646 68.853 1.156 .341 Huynh-Feldt 182.155 4.045 45.035 1.156 .344 Lower-bound 182.155 1.000 182.155 1.156 .307 Error(Score) Sphericity Assumed 1575.321 60 26.255 Greenhouse-Geisser 1575.321 26.456 59.546 Huynh-Feldt 1575.321 40.447 38.948 Lower-bound 1575.321 10.000 157.532 | Writedemy

Please write up and interpret the results for the following repeated measures ANOVA, using the Activity 6.sav data set. Score_0 through Score _12 is the repeated measure (7 levels) and gender is a fixed factor. Discuss especially both main effects and the presence/absence of an interaction between the two. All of the relevant data is given below. Within-Subjects Factors Measure: MEASURE_1 Score Dependent Variable 1 Score_0 2 Score_2 3 Score_4 4 Score_6 5 Score_8 6 Score_10 7 Score_12 Between-Subjects Factors Value Label N Gender F Female 8 M Male 4 Descriptive Statistics Gender Mean Std. Deviation N Pre-test score Female 28.25 8.172 8 Male 32.25 19.432 4 Total 29.58 12.221 12 Week 2 score Female 29.75 6.319 8 Male 39.75 13.889 4 Total 33.08 10.113 12 Week 4 score Female 33.63 5.181 8 Male 39.00 16.432 4 Total 35.42 9.885 12 Week 6 score Female 35.88 6.556 8 Male 35.25 17.802 4 Total 35.67 10.671 12 Week 8 score Female 39.38 5.370 8 Male 41.00 16.633 4 Total 39.92 9.718 12 Week 10 score Female 44.88 5.743 8 Male 47.25 13.961 4 Total 45.67 8.690 12 Week 12 score Female 48.38 8.518 8 Male 53.25 13.793 4 Total 50.00 10.189 12 Multivariate Testsa Effect Value F Hypothesis df Error df Sig. Score Pillai’s Trace .961 20.439b 6.000 5.000 .002 Wilks’ Lambda .039 20.439b 6.000 5.000 .002 Hotelling’s Trace 24.526 20.439b 6.000 5.000 .002 Roy’s Largest Root 24.526 20.439b 6.000 5.000 .002 Score * Gender Pillai’s Trace .491 .804b 6.000 5.000 .607 Wilks’ Lambda .509 .804b 6.000 5.000 .607 Hotelling’s Trace .965 .804b 6.000 5.000 .607 Roy’s Largest Root .965 .804b 6.000 5.000 .607 a. Design: Intercept + Gender Within Subjects Design: Score b. Exact statistic Mauchly’s Test of Sphericitya Measure: MEASURE_1 Within Subjects Effect Mauchly’s W Approx. Chi-Square df Sig. Epsilonb Greenhouse-Geisser Huynh-Feldt Lower-bound Score .001 56.876 20 .000 .441 .674 .167 Tests the null hypothesis that the error covariance matrix of the orthonormalized transformed dependent variables is proportional to an identity matrix. a. Design: Intercept + Gender Within Subjects Design: Score b. May be used to adjust the degrees of freedom for the averaged tests of significance. Corrected tests are displayed in the Tests of Within-Subjects Effects table. Tests of Within-Subjects Effects Measure: MEASURE_1 Source Type III Sum of Squares df Mean Square F Sig. Score Sphericity Assumed 3246.536 6 541.089 20.609 .000 Greenhouse-Geisser 3246.536 2.646 1227.164 20.609 .000 Huynh-Feldt 3246.536 4.045 802.659 20.609 .000 Lower-bound 3246.536 1.000 3246.536 20.609 .001 Score * Gender Sphericity Assumed 182.155 6 30.359 1.156 .342 Greenhouse-Geisser 182.155 2.646 68.853 1.156 .341 Huynh-Feldt 182.155 4.045 45.035 1.156 .344 Lower-bound 182.155 1.000 182.155 1.156 .307 Error(Score) Sphericity Assumed 1575.321 60 26.255 Greenhouse-Geisser 1575.321 26.456 59.546 Huynh-Feldt 1575.321 40.447 38.948 Lower-bound 1575.321 10.000 157.532

12 May Please write up and interpret the results for the following repeated measures ANOVA, using the Activity 6.sav data set. Score_0 through Score _12 is the repeated measure (7 levels) and gender is a fixed factor. Discuss especially both main effects and the presence/absence of an interaction between the two. All of the relevant data is given below. Within-Subjects Factors Measure: MEASURE_1 Score Dependent Variable 1 Score_0 2 Score_2 3 Score_4 4 Score_6 5 Score_8 6 Score_10 7 Score_12 Between-Subjects Factors Value Label N Gender F Female 8 M Male 4 Descriptive Statistics Gender Mean Std. Deviation N Pre-test score Female 28.25 8.172 8 Male 32.25 19.432 4 Total 29.58 12.221 12 Week 2 score Female 29.75 6.319 8 Male 39.75 13.889 4 Total 33.08 10.113 12 Week 4 score Female 33.63 5.181 8 Male 39.00 16.432 4 Total 35.42 9.885 12 Week 6 score Female 35.88 6.556 8 Male 35.25 17.802 4 Total 35.67 10.671 12 Week 8 score Female 39.38 5.370 8 Male 41.00 16.633 4 Total 39.92 9.718 12 Week 10 score Female 44.88 5.743 8 Male 47.25 13.961 4 Total 45.67 8.690 12 Week 12 score Female 48.38 8.518 8 Male 53.25 13.793 4 Total 50.00 10.189 12 Multivariate Testsa Effect Value F Hypothesis df Error df Sig. Score Pillai’s Trace .961 20.439b 6.000 5.000 .002 Wilks’ Lambda .039 20.439b 6.000 5.000 .002 Hotelling’s Trace 24.526 20.439b 6.000 5.000 .002 Roy’s Largest Root 24.526 20.439b 6.000 5.000 .002 Score * Gender Pillai’s Trace .491 .804b 6.000 5.000 .607 Wilks’ Lambda .509 .804b 6.000 5.000 .607 Hotelling’s Trace .965 .804b 6.000 5.000 .607 Roy’s Largest Root .965 .804b 6.000 5.000 .607 a. Design: Intercept + Gender Within Subjects Design: Score b. Exact statistic Mauchly’s Test of Sphericitya Measure: MEASURE_1 Within Subjects Effect Mauchly’s W Approx. Chi-Square df Sig. Epsilonb Greenhouse-Geisser Huynh-Feldt Lower-bound Score .001 56.876 20 .000 .441 .674 .167 Tests the null hypothesis that the error covariance matrix of the orthonormalized transformed dependent variables is proportional to an identity matrix. a. Design: Intercept + Gender Within Subjects Design: Score b. May be used to adjust the degrees of freedom for the averaged tests of significance. Corrected tests are displayed in the Tests of Within-Subjects Effects table. Tests of Within-Subjects Effects Measure: MEASURE_1 Source Type III Sum of Squares df Mean Square F Sig. Score Sphericity Assumed 3246.536 6 541.089 20.609 .000 Greenhouse-Geisser 3246.536 2.646 1227.164 20.609 .000 Huynh-Feldt 3246.536 4.045 802.659 20.609 .000 Lower-bound 3246.536 1.000 3246.536 20.609 .001 Score * Gender Sphericity Assumed 182.155 6 30.359 1.156 .342 Greenhouse-Geisser 182.155 2.646 68.853 1.156 .341 Huynh-Feldt 182.155 4.045 45.035 1.156 .344 Lower-bound 182.155 1.000 182.155 1.156 .307 Error(Score) Sphericity Assumed 1575.321 60 26.255 Greenhouse-Geisser 1575.321 26.456 59.546 Huynh-Feldt 1575.321 40.447 38.948 Lower-bound 1575.321 10.000 157.532

Posted at 00:01h in 2General studies by

cowing repeated measures ANOVA, using the Activity 6.sav data set. Score_0 through Score _12 is the repeated measure (7 levels) and gender is a fixed factor. Discuss especially both main effects and the presence/absence of an interaction between the two.

 

All of the relevant data is given below.

 

 

Within-Subjects Factors
Measure:   MEASURE_1
Score Dependent Variable
1 Score_0
2 Score_2
3 Score_4
4 Score_6
5 Score_8
6 Score_10
7 Score_12

 

Between-Subjects Factors
  Value Label N
Gender F Female 8
M Male 4

 

 

Descriptive Statistics
  Gender Mean Std. Deviation N
Pre-test score Female 28.25 8.172 8
Male 32.25 19.432 4
Total 29.58 12.221 12
Week 2 score Female 29.75 6.319 8
Male 39.75 13.889 4
Total 33.08 10.113 12
Week 4 score Female 33.63 5.181 8
Male 39.00 16.432 4
Total 35.42 9.885 12
Week 6 score Female 35.88 6.556 8
Male 35.25 17.802 4
Total 35.67 10.671 12
Week 8 score Female 39.38 5.370 8
Male 41.00 16.633 4
Total 39.92 9.718 12
Week 10 score Female 44.88 5.743 8
Male 47.25 13.961 4
Total 45.67 8.690 12
Week 12 score Female 48.38 8.518 8
Male 53.25 13.793 4
Total 50.00 10.189 12

 

Multivariate Testsa
Effect Value F Hypothesis df Error df Sig.
Score Pillai’s Trace .961 20.439b 6.000 5.000 .002
Wilks’ Lambda .039 20.439b 6.000 5.000 .002
Hotelling’s Trace 24.526 20.439b 6.000 5.000 .002
Roy’s Largest Root 24.526 20.439b 6.000 5.000 .002
Score * Gender Pillai’s Trace .491 .804b 6.000 5.000 .607
Wilks’ Lambda .509 .804b 6.000 5.000 .607
Hotelling’s Trace .965 .804b 6.000 5.000 .607
Roy’s Largest Root .965 .804b 6.000 5.000 .607
a. Design: Intercept + Gender

Within Subjects Design: Score
b. Exact statistic
 

Mauchly’s Test of Sphericitya

  
Measure:   MEASURE_1  
Within Subjects Effect Mauchly’s W Approx. Chi-Square df Sig. Epsilonb  
Greenhouse-Geisser Huynh-Feldt Lower-bound  
Score .001 56.876 20 .000 .441 .674 .167  
Tests the null hypothesis that the error covariance matrix of the orthonormalized transformed dependent variables is proportional to an identity matrix.  
a. Design: Intercept + Gender

Within Subjects Design: Score

  
b. May be used to adjust the degrees of freedom for the averaged tests of significance. Corrected tests are displayed in the Tests of Within-Subjects Effects table.  

 

Tests of Within-Subjects Effects
Measure:   MEASURE_1
Source Type III Sum of Squares df Mean Square F Sig.
Score Sphericity Assumed 3246.536 6 541.089 20.609 .000
Greenhouse-Geisser 3246.536 2.646 1227.164 20.609 .000
Huynh-Feldt 3246.536 4.045 802.659 20.609 .000
Lower-bound 3246.536 1.000 3246.536 20.609 .001
Score * Gender Sphericity Assumed 182.155 6 30.359 1.156 .342
Greenhouse-Geisser 182.155 2.646 68.853 1.156 .341
Huynh-Feldt 182.155 4.045 45.035 1.156 .344
Lower-bound 182.155 1.000 182.155 1.156 .307
Error(Score) Sphericity Assumed 1575.321 60 26.255    
Greenhouse-Geisser 1575.321 26.456 59.546    
Huynh-Feldt 1575.321 40.447 38.948    
Lower-bound 1575.321 10.000 157.532    

 

Our website has a team of professional writers who can help you write any of your homework. They will write your papers from scratch. We also have a team of editors just to make sure all papers are of HIGH QUALITY & PLAGIARISM FREE. To make an Order you only need to click Ask A Question and we will direct you to our Order Page at WriteDemy. Then fill Our Order Form with all your assignment instructions. Select your deadline and pay for your paper. You will get it few hours before your set deadline.

Fill in all the assignment paper details that are required in the order form with the standard information being the page count, deadline, academic level and type of paper. It is advisable to have this information at hand so that you can quickly fill in the necessary information needed in the form for the essay writer to be immediately assigned to your writing project. Make payment for the custom essay order to enable us to assign a suitable writer to your order. Payments are made through Paypal on a secured billing page. Finally, sit back and relax.

Do you need an answer to this or any other questions?

About Writedemy

We are a professional paper writing website. If you have searched a question and bumped into our website just know you are in the right place to get help in your coursework. We offer HIGH QUALITY & PLAGIARISM FREE Papers.

How It Works

To make an Order you only need to click on “Order Now” and we will direct you to our Order Page. Fill Our Order Form with all your assignment instructions. Select your deadline and pay for your paper. You will get it few hours before your set deadline.

Are there Discounts?

All new clients are eligible for 20% off in their first Order. Our payment method is safe and secure.

Hire a tutor today CLICK HERE to make your first order

Print page