What to experiments test?
Experiments test causal relationships
•Manipulate an independent variable (IV) and measure a dependent
variable (DV)
•Highly controlled situations and equivalent groups
Variable
Characteristics that vary
- Variability based on the participants response
Between group designs
* Helps reduce demand characteristics
Subject variable between group design •Nonequivalent groups
•Limits causal inference
•Best practice is to try and match ppts on relevant variables
Within group designs
Factorial designs
True experiments
Quasi-experiments
•Causal conclusions about the effect of an IV or subject variable on a
DV cannot be made with a lot of confidence
•Incomplete control over the subject variable (or IV)
Longitudinal designs
•Within group measurements are repeatedly taken over an extended
period of time•Special case where a subject variable can differ within a ppt
Challenges of longitudinal studies
* Subject attrition
Cross sectional designs
ex: •Measure people of different ages at the same time
Cohort effcects
A cohort effect is a research result that occurs because of the characteristics of the cohort being studied. A cohort is any group that shares common historical or social experiences, like their year of birth.