outcome articles
What fundamentally distinguishes experimental bias from random error?
Which type of selection bias results from participants dropping out at unequal rates between groups?
What bias involves judging the quality of a decision based on the final outcome rather than the process quality at the time?
What step counters outcome bias by pre-committing to required statistical thresholds before viewing data?
What modern bias involves researchers over-relying on algorithmic output, treating it as inherently superior to human judgment?
What does double-blinding primarily tackle regarding experimenter influence?
How might experimenter bias manifest when grading subjective data?
What procedural rigor prevents researchers from shifting goals or methods post-hoc to fit the observed data?
Selection bias occurs when groups differ systematically from each other due to what aspect of the study setup?