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regression
use of extreme groups
subject-selection assignment
bias in assignment to groups; existing differences in group characteristics affect study results
attrition
(mortality) participants drop out before completing the study for reasons that affect outcomes
expectancy bias
beliefs, opinions, or expectations (researchers or participants) skew the results
subject-selection regression
use of extreme groups/subjects that are not representative of the population for generalization
maturation effects
natural growth or changes in participant development over time that affects the results
history effects
external events occur between measurements that influence outcomes (ex. tutoring sessions between study sessions)
practice/testing effects
performing experimental tasks or taking tests more than once alter the subject’s performance
infidelity
study treatment or procedures were not implemented as planned
reactivity-hawthorne effect
subjects behave differently because they know they are in a study
pygmalion effect
higher expectations lead to an increase in performance
john henry effect
(compensatory rivalry) individuals in the control group work harder to compete with those in the experimental group
sequencing effects
order of experimental tasks influences the outcome (learning effects or fatigue influences the next assessment)
diffusion effects
components of an experimental treatment unintentionally ‘diffuse’ or ‘spillover’ to the control group
social desirability bias
participants tend to answer questions in a manner that will be viewed favorably by others