feedback Kind
|
Technique |
|
|
|
Independent Variable |
|
|
|
|
Dependent Variable |
|
|
Definition |
|
# of IVs |
Fixed or Random |
# of levels in IV (If Fixed) |
Between or Within Subjects |
|
# of DVs |
Fixed or Random |
|
One Sample t-test |
Compares a sample mean to a known or hypothesized population mean. |
|
1 |
Fixed |
1 |
N/A |
|
1 |
Random |
|
Independent Samples t-test |
Two groups of different people compared |
|
1 (only one manipulation) |
Fixed, people are in one group or the other |
2 (t-tests are always only 2 groups) |
Between (different people in each group) |
|
1 (just one outcome per t-test) |
Random (outcome can take on any value) |
|
Paired Samples t-test (AKA repeated measures t-test or dependent measures t-test) |
Compares two measurements from the same participants or matched pairs. |
|
1 |
Fixed |
2 |
Within |
|
1 |
Random |
|
One-Way ANOVA |
Tests for mean differences among three or more independent groups |
|
1 |
Fixed |
2+ |
Between |
|
1 |
Random |
|
Two-Way ANOVA |
Examines the effects of two independent variables on a single outcome, including interactions
|
|
2 |
Fixed |
2+ |
Between |
|
1 |
Random |
|
Repeated Measures ANOVA |
Tests for mean differences when the same participants are measured three or more times. |
|
1 |
Fixed |
3+ |
Within |
|
1 |
Random |
|
Factorial ANOVA (can also be called a Mixed Factors Factorial ANOVA) |
Combines at least one between-subjects factor and one within-subjects factor to test for main effects and interactions. |
|
2+ |
Fixed |
Depends on Design (At least 2 levels per factor e.g., 2×2, 2×3 designs) |
Mixed |
|
1 |
Random |