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confound
variable that systematically varies with the IV and provides an alternative explanation for changes in DV
3rd variables
ex: link between coffee/stress level confounded by poor sleep
pseudoexperiment
exposing people to an IV and then seeing if there are any outcome changes in the DV
creates damaging/false links when they don’t actually exist
ex: MMR vaccine → autism
maturation
systematic changes that occur spontaneously over time not due to variables being studied
ex: kids naturally grow and develop over time
sometimes fixed w/ comparison group
history
something specific occurs during the study period that affects everyone at same time as IV
ex: new anxiety medication + pandemic = unsure if unchanged anxiety levels due to med failing or pandemic overwhelming med’s effects
testing/practice effects
when taking a test/completing a measure previously influences later performance
fixed by comparison groups, excluding pretest scores, time delays between tests
instrumentation
when the way a variable is assessed changes over time within a study
ex: paper test → online format
ex: observational criteria shifts as experience increases
regression to the mean
tendency for extreme scores to become closer to average when measured again within a study
difference between true and observed score
ex: coin flip 10 times and get 9 heads, but on next 10 flips, result naturally balances out closer to 5 heads
fixed by comparison groups or checking between-group differences for similar groups
attrition
systematic drop out when participants leave a study before finishing
ex: PTSD drug trial looks effective because of low anxiety reports at the end, but patients with bad side effects already dropped out
fixed by adjusting study design
assignment bias
when assignment leads to systematically different groups prior to manipulation inside a study
ex: separating students based on intelligence makes it hard to see if tutoring is truly effective
fixed by random assignment
artifacts
variable held constant in a study/studies but might define the context in which any observed IV/DV relationship occurs
affects ability to generalize
ex: memory trick works in silent research room, but fails in loud classroom
participant expectancies
purposely behaving in ways consistent with experimenters’ hypotheses
demand characteristics
participant reactance
purposely behaving in ways inconsistent with experimenters’ hypotheses
social desirability/evaluation apprehension
behaving in ways to appear socially desirable
acquiescence
participant inclination to say yes, even if it’s not how we actually feel
addressing participant bias
cover stories, unobtrusive observations, multiple questions asked in different ways, indirect measures
addressing experimenter bias
blind/double blind studies, standardized instructions
threats to generalizability across people
selection bias, homogenous samples, self-selection effects, WEIRD samples
threats to generalizability across research
fatigue effects, practice effects, experimenter characteristics, measurement time/operationalization
internal/external validity relationship
inverse relationship; must give up control for generalizability and vice versa