Replicable
~~> when others can repeat it and get the same results
falsifiable
~~> must be stated in a way that makes it possible to reject it (can it
be disproved?)
precise
~~> operational definitions to define the variable ( happiness= smiles
per hour)
parsimonious
~~> a...
✓ ~~> (correlational design- magnitude) x and y are the same ( SAT and
ACT score)r=1
weak correlation
✓ ~~> (correlational design- magnitude) x predicts y but not strongly.
harder to predict y from x (SAT scores and college art class grade) r
closer to 0
No correlation
✓ ~~> (correlational design- magnitude) x and y do not "move"
together; knowing x does not help you predict y (SAT scores and what
car you drive) r=0
Correlations
✓ ~~> DOESN'T tell us why x causes y. Only tells us that two variables
move together. Good starting point for figuring out problems.
Experimental design (Experimental)
✓ ~~> one or more manipulated variables and one or more measured
variables. Allows us to conclude whether x causes y.
Master01 | September, 2024/2025 | Latest update
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