Statistical - Write up of Results
For each problem, submit a document that describes:
1. (1) the research question(s) of interest
2. (2) the method of analysis and why it is appropriate
3. (3) the assumptions that underlie the method
4. (4) the statistical tests to be conducted
5. (5) a discussion of results that will answer the research question
Assume you are writing the "methods" section of a research paper to be submitted to a professional journal.
Problem Set 2 answer
1- The research questions
Is to determine whether the means of the outcome variables described above differ depending on performance level.
2- The method of analysis used in this case is MANOVA and why it is appropriate Multivariate analysis of variance (MANOVA) is simply an ANOVA with several dependent variables. That is to say, ANOVA tests for the difference in means between two or more groups, while MANOVA tests for the difference in two or more vectors of means this is why we have to used here.
3- Assumptions
· Equality regarding covariance matrices
· Each sample group is taken from a normally distributed population
· The observations are sampled independently and randomly of each other
4- the statistical tests to be conducted
It's better to conduct Bonferroni is more flexible and easier to compute, it has limitations. Bonferroni assumes that tests are independent while calculating familywise error
-5-discussion of results that will answer the research question
- Discussion of results - MANOVA
Test Criteria and Exact F Statistics. for the Hypothesis of No Overall PERLEVEL Effect
H = Anova SSCP Matrix for PERLEVEL E = Error SSCP Matrix
S=1 M=1.5 N=36
Statistic Value F Value Num DF Den DF Pr > F
Wilks' Lambda 0.67500180 7.13 5 74 <.0001
Pillai's Trace 0.32499820 7.13 5 74 <.0001
Hotelling-Lawley Trace 0.48147752 7.13 5 74 <.0001
Roy's Greatest Root 0.48147752 7.13 5 74 <.0001
(p-values for MANOVA test of Ho: no mean vector differences between the 2 PERLEEVEL groups)
Levene's Test for Homogeneity of EFFORT Variance
Sum of Mean
Source DF Squares Square F Value Pr > F
PERLEVEL 1 1.0414 1.0414 0.30 0.5832
p-value for testing equality of variances in DV for 2 PERLEVEL groups
(Fail to reject Ho implies equality of variances)
- Discussion of results - ANOVA
1st Dependent Variable analyzed EFFORT
Corrected Total 79 136.1875000
R-Square Coeff Var Root MSE EFFORT Mean
0.167933 28.78363 1.205315 4.187500
Source DF Anova SS Mean Square F Value Pr > F
PERLEVEL 1 22.87039385 22.87039385 15.74 0.0002
· There is a significant difference in the mean
2en Dependent Variable analyzed UND
Source DF Squares Mean Square F Value Pr > F
Model 1 9.3002113 9.3002113 3.92 0.0513
Error 78 185.1872887 2.3741960
Corrected Total 79 194.4875000
R-Square Coeff Var Root MSE UND Mean
0.047819 36.36207 1.540843 4.237500
Source DF Anova SS Mean Square F Value Pr > F
PERLEVEL 1 9.30021129 9.30021129 3.92 0.0513
· There is NO significant difference in the mean
3rd Dependent Variable analyzed QUALIT
Source DF Squares Mean Square F Value Pr > F
Model 1 7.6597701 7.6597701 5.45 0.0221
Error 78 109.5402299 1.4043619
Corrected Total 79 117.2000000
R-Square Coeff Var Root MSE QUALITY Mean
0.065356 28.90385 1.185058 4.100000
Source DF Anova SS Mean Square F Value Pr > F
PERLEVEL 1 7.65977011 7.65977011 5.45 0.0221
• There is NO significant difference in the mean
4rd Dependent Variable analyzed LUCK
Source DF Squares Mean Square F Value Pr > F
Model 1 10.5261663 10.5261663 3.64 0.0599
Error 78 225.2738337 2.8881261
Corrected Total 79 235.8000000
R-Square Coeff Var Root MSE LUCK Mean
0.044640 37.35052 1.699449 4.550000
Source DF Anova SS Mean Square F Value Pr > F
PERLEVEL 1 10.52616633 10.52616633 3.64 0.0599
• There is NO significant difference in the mean
5rd Dependent Variable analyzed DIFF
Source DF Squares Mean Square F Value Pr > F
Model 1 4.3206981 4.3206981 2.50 0.1180
Error 78 134.8668019 1.7290616
Corrected Total 79 139.1875000
R-Square Coeff Var Root MSE DIFF Mean
0.031042 39.69624 1.314938 3.312500
Source DF Anova SS Mean Square F Value Pr > F
PERLEVEL 1 4.32069811 4.32069811 2.50 0.1180
• There is NO significant difference in the mea