a What is the effect size (Hint Partial Eta Squared can be used to obtain Partial Eta Squared, use the General Linear Model approach to the analysis) Tests of Between Subjects Effects Dependent Variable ProdOne Source Type III Sum of Squares df Mean Square F Sig Partial Eta Squared Corrected Model 164 961 a 3 54 987 1 297 291 098 Intercept 55829 625 1 55829 625 1316 379 000 973 Topic 164 961 3 54 987 1 297 291 098 Error 1526 814 36 42 412 Total 59985 000 40 Corrected Total 1691 775 39 a R Squared 098 (Adjusted R Squared 022) b Report the results in a narrative using APA format An analysis c What can be concluded from these results Be sure to consider possible study limitations and provide recommendations for future research 2 Conduct a two way ANOVA to test if there is a significant difference in self esteem (using the EsteemTwo variable in the teachersurvey sav data set) across gender and across topic areas Secondly, is there an interaction effect between these factors

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Question: a.What is the effect size? (Hint: Partial Eta Squared can be used; to obtain Partial Eta Squared, use the General Linear Model approach to the

a.What is the effect size? (Hint: Partial Eta Squared can be used; to obtain Partial Eta Squared, use the General Linear Model approach to the analysis).

Tests of Between-Subjects Effects

Dependent Variable:ProdOne

Source

Type III Sum of Squares

Mean Square

Sig.

Partial Eta Squared

Corrected Model

164.961^a

54.987

1.297

.291

.098

Intercept

55829.625

1316.379

.000

.973

Topic

164.961

54.987

1.297

.291

.098

Error

1526.814

42.412

Total

59985.000

Corrected Total

1691.775

a. R Squared = .098 (Adjusted R Squared = .022)

b.Report the results in a narrative using APA format.

An analysis

c.What can be concluded from these results? Be sure to consider possible study limitations and provide recommendations for future research.

2.Conduct a two-way ANOVA to test if there is a significant difference in self-esteem (using the EsteemTwo variable in the "teachersurvey.sav" data set) across gender and across topic areas. Secondly, is there an interaction effect between these factors?

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