Flashcards in Lecture #13 Deck (10):

1

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Eta-squared:

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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

2

## Brown-Forsythe F:

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Brown-Forsythe F: alternative to the Welch test- post hoc test, where variances are not assumed.

3

## Grand mean:

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Grand mean: the mean of all means. The average of the group means, used to compute sum of squares.

4

## Grand variance:

### Grand variance:

5

##
Orthogonal:

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Orthogonal:

6

## Pairwise comparisons

### Comparing two group means. Equation to find number of pairwise comparison k(k-1)/2

7

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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.

8

## Be able to determine the number of pairwise comparisons that could be tested based on the number of levels of the independent variable (IV).

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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

9

## What are the differences between post-hoc tests and planned comparisons?

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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.

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