1) Why to observe Need for the study
Hypothesis – what the researcher predicts will happen in the study 2) Whom to observe
Entire population vs. sample
Sample should not be biased
3) How and when to observe
Select instruments (e.g., obtain data from surveys, interviews, direct observations)
1) True experiment Variable is manipulated to observe changes on an outcome or behavior
There is random assignment of participants
Example: Random assignment to physical activity intervention or no intervention
2) Experiment (not true) Existing groups are compared on an outcome or behavior
Example: Compare rates of cardiovascular disease among individuals who exercise and those who do not
Nonexperimental studies – evaluation of a group of participants on their attitudes, beliefs, or behaviors without any manipulation or comparison between groups
Example: Study examining percentage of people who meet ACSM exercise guidelines
Experimental studies are advantageous because can infer cause and effect
Not always possible to do experimental studies
In those cases, can do causal-comparative studies
Causal-comparative study – researchers observe and describe a current condition and try to identify possible causes
Example: Is lack of physical activity related to cardiovascular disease (good nutrition may possibly play a role too); compares people who exercise to those who do not