Lecture #13 Flashcards
Eta-squared:
Eta-squared: computes effect size for the model, ranges from 0 to 1
Equation; Sum of squares between groups/Sum of squarestotal
Conventions for small, .01
Medium, .06
Large, .14
Brown-Forsythe F:
Brown-Forsythe F: alternative to the Welch test- post hoc test, where variances are not assumed.
Grand mean:
Grand mean: the mean of all means. The average of the group means, used to compute sum of squares.
Grand variance:
Grand variance:
Orthogonal:
Orthogonal:
Pairwise comparisons
Comparing two group means. Equation to find number of pairwise comparison k(k-1)/2
When would you conduct a one-way ANOVA? Why would you conduct an ANOVA rather than an independent-samples t test?
When you want to compare multiple pairwise comparisons, with 3 or more groups/levels within the one independent variable.
Be able to determine the number of pairwise comparisons that could be tested based on the number of levels of the independent variable (IV).
3 or more groups within the one independent variable-conduct a one way anova, 2 way anova is for 2 or more independent variables….3 way anova 3 IV’s
to find pairwise comparison use the equation k(k-1)/2
What are the differences between post-hoc tests and planned comparisons?
What are the differences between post-hoc tests and planned comparisons? Post hoc tests: are data driven, after the fact, they are more exploratory, and a posteriori.
The planned comparison- investigates a specific hypothesis, used before we run results. A priori test. Theory driven approach.
Be able to interpret Levene’s test for the equality of (error) variances and corresponding ANOVA SPSS output based on the results of Levene’s test.
P value Greater > than .05 you can assume equal variances, Levene’s test is NOT significant- post hoc test, tukey.
P value less
