Lecture 12 Flashcards
(20 cards)
mixed methods designs
- some factors are within subjects, some factors are between subjects
ex) handedness and memory for images vs words
non experimental and quasi experimental designs
research designs where we can’t be certain of cause and effect relationship between variables
non experimental designs
are not concerned with trying to maximize internal validity
quasi experimental designs
do their best to maintain internal validity
when do we use non experimental
-true experimental would be too difficult or unethical
why can we not be certain of a cause and effect relationship
-the levels of the “independent variable” are pre determined, not manipulated, true random assignment is not possible, cannot counter balance to avoid order effects
differential research design
- between subjects non experimental
- groups are defined by pre existing category
post test only designs
- single group measured once following treatment
- non experimental
pre test post test designs
-single group measured before and after treatment
post test only designs addition
-non-equivalent control group added
pre test post test designs addition
- non-equivalent control group
- second control group is measured twice
- quasi experimental because there is an extra attempt at control
time series designs
- similar to other pre test post test designs however multiple measures are taken before and after treatment
- can also include non-equivalent control group
developmental research
research questions revolves around changes in behavior with time/age
-experimental because you cant manipulate age
longitudinal research designs
-studying the same group of participants/subjects over time
cross sectional research designs
-studying different cohorts at the same time
cross sectional longitudinal designs
combination of two designs
-effort to eliminate the drawbacks of each
longitudinal research pros
- cause and effect relationship
- get very detailed info
- no cohort effects
longitudinal cons
- very time consuming
- expensive
- people may drop out
- measured repeatedly
cross sectional research pros
- cheaper
- easier
- takes less time
cross sectional research cons
- lose detail
- cohort effects
