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Need APA explanation of the included SPSS Output related to an analysis of variance with repeated measures using the TutorMarks.sav Document Preview: Descriptives NotesOutput Created29-SEP...

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Need APA explanation of the included SPSS Output related to an analysis of variance with repeated measures using the TutorMarks.sav
Document Preview: Descriptives NotesOutput Created29-SEP XXXXXXXXXX:43:08CommentsInputDataC:\Users\agavila\Desktop\WALDEN Assigments\Q8 - Advanced Quantitative\Week 3 ANOVA\DSUS3 SPSS Files\TutorMarks.savActive DatasetDataSet1FilterWeightSplit FileN of Rows in Working Data File8Missing Value HandlingDefinition of MissingUser defined missing values are treated as missing.Cases UsedAll non-missing data are used.SyntaxDESCRIPTIVES VARIABLES=tutor1 tutor2 tutor3 tutor4 /STATISTICS=MEAN STDDEV MIN MAX.ResourcesProcessor Time00:00:00.00Elapsed Time00:00:00.00 [DataSet1] C:\Users\agavila\Desktop\WALDEN Assigments\Q8 - Advanced Quantitative\Week 3 ANOVA\DSUS3 SPSS Files\TutorMarks.sav Descriptive StatisticsNMinimumMaximumMeanStd. DeviationDr. Field8627868.885.643Dr. Smith8587364.254.713Dr. Scrote8547565.256.923Dr. Death8456557.387.909Valid N (listwise)8 GLM tutor1 tutor2 tutor3 tutor4 /WSFACTOR=lecturer 4 Polynomial /METHOD=SSTYPE(3) /PLOT=PROFILE(lecturer) /EMMEANS=TABLES(OVERALL) /EMMEANS=TABLES(lecturer) COMPARE ADJ(BONFERRONI) /PRINT=DESCRIPTIVE ETASQ /CRITERIA=ALPHA(.05) /WSDESIGN=lecturer. General Linear Model NotesOutput Created29-SEP XXXXXXXXXX:48:34CommentsInputDataC:\Users\agavila\Desktop\WALDEN Assigments\Q8 - Advanced Quantitative\Week 3 ANOVA\DSUS3 SPSS Files\TutorMarks.savActive DatasetDataSet1FilterWeightSplit FileN of Rows in Working Data File8Missing Value HandlingDefinition of MissingUser-defined missing values are treated as missing.Cases UsedStatistics are based on all cases with valid data for all variables in the model.SyntaxGLM tutor1 tutor2 tutor3 tutor4 /WSFACTOR=lecturer 4 Polynomial /METHOD=SSTYPE(3) /PLOT=PROFILE(lecturer) /EMMEANS=TABLES(OVERALL) /EMMEANS=TABLES(lecturer) COMPARE ADJ(BONFERRONI) /PRINT=DESCRIPTIVE ETASQ /CRITERIA=ALPHA(.05) ...
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Answered Same Day Dec 24, 2021

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Robert answered on Dec 24 2021
106 Votes
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Here, we wish to determine whether the four lecturer score does not differ significantly.
The mean student score given by tutor 1 (Dr. Field) is 68.88 with a standard deviation of 5.643.
The mean student score given by tutor 2 (Dr. Smith) is 64.25 with a standard deviation of 4.713.
The mean student score given by tutor 3 (Dr. Scorte) is 65.25 with a standard deviation of 6.923.
The mean student score given by tutor 4 (Dr. Field) is 57.38 with a standard deviation of 7.909.
On comparing the mean scores, we see that tutor 1 (Dr. Field) scores in favor of the students by
placing more marks when compared with other three tutors.
Most of the parametric tests are based on the assumption of normality and independence.
Since, in repeated measure design different data are measured from same group, these
assumptions are not appropriate. That is, the data are related and hence independence assumption
cannot hold true in our case. Therefore, we perform a special assumption called...
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