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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

Provide easiest way to view interactions

Line graphs