Calculate the effect size (using Eta-Squared) for a One-Way ANOVA if the sum of squares between is 2.0 and the total sum of squares is 12.5
Calculate the effect size (using Eta-Squared) for a One-Way ANOVA if the sum of squares between...
Two measures of proportion of variance for the one-way between-subjects ANOVA are eta-squared and omega-squared. Question 16 options: True False
Given a one way Anova and given the sum of squares for error is 28, the sum of squares between treatments is 86 the mean square error is 7 and the mean square between treatments is 12.5 , Compute the F statistic ?
Question 8 ANOVA Score Sum of Squares df Mean Square F Sig. Between Groups 1746.100 3 582.033 47.686 .000 Within Groups 439.400 36 12.206 Total 2185.500 39 Which value below represents the effect size (eta squared) for this analysis? η2 =.83 η2 =.79 η2 =.59 η2 =.69
21) Consider the partially completed one-way ANOVA summary table. Degrees of Mean Sum Freedom of Squares Sum of Source Squares Between 330 Within Total 1810 1 16 9 The F-test statistic for this ANOVA procedure is A) 2.33 B) 7.33 C) 5.67 D) 3.67
In a two-way ANOVA, mean squares are obtained by dividing each sum of squares by: a) the total number of scores minus one. b) its associated degrees of freedom. c) the total number of scores. d) the number of different cells.
The effect size measure for a linear correlation is Eta squared Cohen’s D |r| All of these are appropriate
The effect size measure for a large chi square contingency table analysis is? A. Eta squared B. Cohen’s D C. Cramer’s V D. All of these are appropriate
The effect size measure for a 2x2 chi square contingency table analysis is Eta squared Cohen’s D Phi All of these are appropriate
8. Which of the following is true of effect size statistics, like Cohen’s d and eta-squared? a. They estimate the magnitude of the treatment effect. b. They are only relevant if the researcher has first determined that there is a significant effect. c. They determine whether there is a significant treatment effect. d. Both a and b
What is the total sum of squares? A. The sum of squared deviations from the mean B. The sum of squared deviations from regression C. The effect of two or more variables on the independent variable