Flashcards in Idk Deck (22):

1

## Factors that effect power

###
1. Sample size

2. Actually effect size

3. Statistical significance

The main way to increase power is to increase sample size

2

## One sample t test

### Limited - don’t know standard

3

## Two sample t test

### More common to compare between two groups

4

## Assumptions of a 2 sample t test

###
Data is normal

Homogeneity of variance

Samples are independent

Scale must be at interval/ratio

5

## T tests

### Allow us to compare two groups at a time

6

## Analysis of variance (anova)

###
Allows us to compare the mean of several groups

-effect if multiple independent variables with 2 or more levels each

7

## Potential types of variance in an anova

###
Assume that all of the populations have the same variance

8

## Within v. Between

### When the null is true, between = variance

9

## When null is not true

### Between > within

10

## F ratio

### Ratio of between to within is greater than 1

11

## Post hoc comparisons

### Attempt to control alpha and maintain it at .05

12

## One sample t test

### 1 group compared to “known”

13

## Two sample t test

### IV has 2 levels (not related)

14

## Paired sample

### 1 IV, 2 levels (related)

15

## One-way anova

### 1 IV > 2 levels

16

## Two or more variables are studied simulateously

### Complex design

17

## To describe a design in written form, include the name of the IV and the levels in parentheses

### Writing designs

18

## The overall effect of one independent variable

### Main effect

19

## What is one main effect possible for

### Every independent variable in the design

20

## The effect of one independent variable changes depending on the level of another IV

### Interaction

21

## Often used when the IV is a nominal variable

### Bar graph

22