Confounds/Artifacts

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Last updated 12:10 AM on 10/10/26
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19 Terms

1
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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


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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


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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


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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


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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


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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


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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


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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


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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


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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


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participant expectancies

purposely behaving in ways consistent with experimenters’ hypotheses

  • demand characteristics


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participant reactance

purposely behaving in ways inconsistent with experimenters’ hypotheses

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social desirability/evaluation apprehension

behaving in ways to appear socially desirable

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acquiescence

participant inclination to say yes, even if it’s not how we actually feel

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addressing participant bias

cover stories, unobtrusive observations, multiple questions asked in different ways, indirect measures

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addressing experimenter bias

blind/double blind studies, standardized instructions

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threats to generalizability across people

selection bias, homogenous samples, self-selection effects, WEIRD samples

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threats to generalizability across research

fatigue effects, practice effects, experimenter characteristics, measurement time/operationalization

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internal/external validity relationship

inverse relationship; must give up control for generalizability and vice versa