Chapters 5 and 6 Flashcards
(42 cards)
Independent Variable
variable that you manipulate to see effect on DV
Dependent Variable
outcome behavior; measured outcome of experiment
Extraneous Variables
Variables that can’t be controlled
Confounding variables
Extraneous variables that covaries with the independent variable that could provide alternative explanations for results
Manipulated variable
Researchers place participants into conditions
Subject variable
Participants are in condition due to pre-existing condition or self-selected into
Statistical conclusion validity
Extent to which a researcher uses stats properly and draws appropriate conclusions from statistical analysis
Validity
How will a test actually measures what is supposed to measure; accuracy
Construct validity
Adequacy of operational definition
External validity
Generalizability; degree to which research findings generate beyond specific context of experiment being conducted.
Ex) other populations
Internal validity
Methodologically sound; Able to show changes in independent variable causes changes in dependent variable
As Internal validity increases external validity decreases
As external validity increases internal validity decreases
True
Threats to internal validity
Any conn found such as history or maturation
History
Some event occurs between pre-and post test that causes large changes unrelated to treatment progression
Maturation
Producing developmental changes
Regression to the mean
Extreme scores by chance on first measurement move closer to the average when measured a second time
Testing & instrumentation
If pretest and posttest are the same pretest could affect post if you try a different measurement for a post test you may not be measuring the same thing
Selection
Different selective processes for experiment and control group
Selection by maturation
group matures at different times
Selection by history
One event happens to one group but not the other
Attrition
People who don’t come back; people who remain might be different than the larger group
Between subject design
Different participants in each condition
When to use between subject design
Subject variables. Being in one condition negates possibility of being in the other condition
How to create equivalent groups for between subject design
- Random equal chance assignment: participants have an equal chance of being placed in a condition
- Matching/random assignment: pre-test on variable Interest, organize scores in order, matched gets assigned number