IV, DV, OD, or CV?
Impact of sugar on ATTENTION.
DV
A pro - lots of information, fast; A con - people could lie
The larger group which you wish to study (ie: people with smartphones)
Population
The phrasing of a quesiton could impact the results/responses.
Wording effect.
Your name is listed in the experiment.
Confidentiality.
Adding EARRINGS to increase attractiveness.
A pro - very indepth; a con - can't generalize
Case study
The group that you pull from the larger group to study (ie: 100 people with smart phones)
Sample
You could go into research overly certain of the answer and it could impact your results.
Overconfidence bias.
You left an experiment feeling distressed and can't sleep.
No harm.
Determining the impact of LIGHT on sleepiness.
IV
Identifying connections between two different things - sleep and happiness.
Correlation
A test gets similar results each time you take it.
Reliable
You "knew it all along".
Hindsight bias.
You had no idea what you were agreeing to.
Informed consent.
If I am studying how pets impact happiness, what could be a confounding variable?
Family life, friends, stressors, etc.
The only method that shows cause and effect.
Experiment
Valid
If the sample does not look like the actual population (race, age, etc), it is not a good:
representative sample
Go over the results after the research is done.
Debriefing
Administering 50 mL of a medication for two weeks after meals. Give the operational definitions.
50mL, same medication, with meals, two weeks.
A pro - you don't influence behaviors; a con - the observer could have bias.
Naturalistic Observation
Use this to ensure that there is as little bias as possible.
Random sample.
You can ensure less researcher bias by not giving them all the information - this is called:
Double-blind experiment
Being able to leave whenever you'd like.
Right to withdraw.