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one-group pretest-posttest design
measure bhvr, present treatment/internvetion, measure bhvr
maturation
change in bhvr resulting from passage of time (in participants)
To identify: consider how much time passed, consider developmental changes
To prevent: minimize time btwn measurements, include comparison
history
change in bhvr cuz of external events
To identify: consider time passage, what happened between measurements
To detect: include comparison thats also affected and look for changes
regression to the mean
bad things lead to better things “natural balancing act”
To identify: was initial value of DV extreme, anything unusual abt same or conditions?
To detect: include comp group, examine pre-test for equivalence
attrition
participants drop out of study b4 the second measurement.
To identify: is the sample for posttest smaller than pretest?
To correct: remove the dropouts data
testing
taking pretest affects scores on post-test – something learned from pre
To identify: not obvious; be considered w/ pre-post designs
To prevent: use diff version, dont pre-test, include comp group
instrumentation
change in value of DV on post-test bc of change in measure/thing using
To identify: were diff measures/versions used for pre/post?
To prevent: Use equivalent forms of M
design confounds
age, gender, MUST vary systematically w/ ind variable
demand characteristics
aspects of an experiment that provide cues to lead participants to guess hypothesis
Address: BLIND (singleblind/masked; double blind)
observer bias
researchers who are observing participant behavior may bias coding in favor of hypotheses SOLUTION: don’t tell observers hypotheses or condition
placebo effect
ppl dont receive active treatment but change because they BELIEVE they are receving it (reactivity) SOLUTION: double-blind placebo control study