# Power Analyses by Test

Please note that at this point the G*Power documentation is still incomplete and preliminary. We take great care to avoid any errors, but of course we cannot guarantee that the documentation is error free.

## Correlation and Regression:

Correlation: Bivariate normal model
Correlation: Point biserial model
Correlation: Tetrachoric model

Correlations: Two dependent Pearson r's (common index)
Correlations: Two dependent Pearson r's  (no common index)
Correlations: Two independent Pearson r's

Linear bivariate regression: One group, size of slope
Linear bivariate regression: Two groups, difference between intercepts
Linear bivariate regression: Two groups, difference between slopes

Linear multiple regression: Fixed model, R2 deviation from zero
Linear multiple regression: Fixed model, R2 increase
Linear multiple regression: Fixed model, single regression coefficient
Linear multiple regression: Random model
Logistic regression
Poisson regression

## Means:

### One group:

Difference from constant

### Two groups:

Two dependent groups, matched pairs
Two independent groups

### Many groups:

ANOVA: One-way (one independent variable)
ANOVA: Main effects and interactions (two or more independent variables)

### Repeated measures:

Between factors, ANOVA-approach
Between factors, MANOVA-approach
Within factors, ANOVA-approach
Within factors, MANOVA-approach
Within-between interactions, ANOVA-approach
Within-between interactions, MANOVA-approach

### Multivariate:

Hotelling T2, one group
Hotelling T2, two groups
MANOVA: Global effects
MANOVA: Special effects and interactions

## Proportions:

### One group:

Difference from constant
Sign test (binomial test)

### Two groups:

Two dependent groups (McNemar)
Two independent groups: Inequality: Fisher's exac test
Two independent groups: Inequality: Unconditional exact
Two independent groups: Inequality: z test
Two independent groups: Inequality (offset)

### Multigroup:

Goodness-of-fit test

One group
Two groups

## Other

Generic binomial test
Generic F test
Generic t test
Generic χ2 test
Generic z test

Sonntag, 19. 05. 2013