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Causal Claims
Argues that a change in one
variable is responsible for
the change in another.
3 Criteria for causal claims
Covariance, temporal precedence, elimination of confounds
Variable
Something that varies of changes (variables must have 2+ levels/potential values)
Experiment
At least one variable was manipulated and at least one
variable was measured by the researcher.
Manipulated Variable
The researcher assigns participants to a particular level of the variable
Measured Variable
Research records what happens in terms of behavior of attitudes based on self-report, behavioral observations, or physiological measures.
Independent Variable
Manipulated
Dependent variable
measured outcome variable
Experimental variables
everything but the manipulated variable should be held constant
Control variable
Any variable that an experimenter holds constant
Independent variables answer what question
âcompared to whatâ (comparison group/condition)
Covariance
how two variables change together
Temporal precedence
Cause variable PRECEDES the effect variable
Design Confound
A second variable varies systematically along w/ IV and provides alternative explanation for the results.
If you're testing whether a new teaching method works better, but the group using the new method also gets a better teacher, then the better teacher is a design confound â you canât tell if the improvement is from the method or the teacher.
Selection Effect
When the participants in one level of the IV are systematically different than the participants in the other level or levels of the IV.
- Avoid with random assignment!
ex) ppl choose to join study are ppl who are motivated in the subject. Health study, gym ppl join, they are healthier because they're already active, skewing results.
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