Research Bias Evaluation - Eppp Skills
- What is the term for outcome changes due to participants knowing they are being observed?
- Hawthorne effect. Observation awareness prompts behavioral changes as participants react to being studied, not necessarily to the intervention itself.
- What limitation is introduced when outcomes are measured only immediately posttreatment?
- No follow-up; limited durability inference. Absence of long-term assessment prevents conclusions about the persistence or sustainability of treatment effects over time.
- What is the name for systematic differences in how outcomes are assessed across groups?
- Detection (assessment) bias. Variations in assessment methods or rigor between groups can lead to biased outcome detection and inaccurate comparisons.
- What is the bias called when researchers choose analyses after seeing the data?
- Researcher degrees of freedom (p-hacking). Post-hoc analytical choices exploit flexibility to achieve significance, inflating false positives and undermining reproducibility.
- What threat occurs when changes are due to a new rater, instrument, or scoring rule?
- Instrumentation threat. Alterations in measurement tools, raters, or criteria over time can produce apparent changes unrelated to the intervention.
- What is the term for distortion caused by nonrandom loss of participants over time?
- Attrition bias (differential dropout). Uneven participant dropout across groups can skew results by leaving non-comparable samples at study end, affecting validity.
- What internal validity threat occurs when participants change due to time, not treatment?
- Maturation threat. Natural developmental or temporal changes in participants can be misattributed to the treatment in longitudinal studies.
- What bias occurs when the measurement instrument does not capture the intended construct?
- Construct (measurement) validity threat. Inadequate alignment between the measure and the theoretical construct results in invalid inferences about the phenomenon under study.
- What is the term for improvement due to natural fluctuation when selecting extreme scores?
- Regression to the mean. Extreme scores naturally tend toward the average upon retesting due to statistical variability, mimicking treatment effects.
- What bias is present when study groups differ at baseline due to nonrandom assignment?
- Selection bias. Nonrandom assignment creates baseline imbalances in group characteristics, confounding the ability to attribute outcomes to the intervention.
- What is the term for inaccurate recall of past events that systematically biases reports?
- Recall bias. Memory distortions, influenced by current knowledge or biases, lead to systematic errors in retrospective self-reports.
- What is the main limitation when a study uses a convenience sample from one clinic only?
- Limited external validity (generalizability). Convenience sampling from a single site restricts the applicability of findings to broader or diverse populations.
- Identify the bias: participants in the intervention arm receive extra attention time.
- Performance bias (attention confound). Additional attention in the intervention confounds results, as outcomes may stem from nonspecific interaction rather than treatment.
- What is the term for a consistent instrument error that shifts scores in one direction?
- Systematic measurement error (bias). Consistent directional errors in measurement tools produce biased data, deviating systematically from true values.
- Identify the bias: dropouts are mostly severe cases in the treatment group only.
- Differential attrition bias. Uneven dropout of severe cases biases group comparisons, as remaining samples differ systematically in composition.
- What internal validity threat occurs when outside events coincide with the intervention?
- History threat. Concurrent external events can influence outcomes, making it difficult to isolate the intervention's true impact.
- Identify the limitation: the sample excludes non-English speakers in a diverse community.
- Sampling bias; reduced generalizability. Exclusion of subgroups like non-English speakers creates a non-representative sample, limiting applicability to diverse populations.
- What bias occurs when participants alter responses to appear favorable or avoid stigma?
- Social desirability bias. Participants may provide responses they believe are socially acceptable, distorting data on sensitive or normative topics.
- Identify the limitation: a pretest–posttest study has no control group and no randomization.
- Weak internal validity; cannot infer causality. Without controls or randomization, alternative explanations for changes cannot be ruled out, preventing causal claims.
- Which bias occurs when participants who volunteer differ systematically from nonvolunteers?
- Self-selection (volunteer) bias. Volunteers often have distinct characteristics, such as higher motivation or specific traits, leading to non-representative samples in research studies.
- What bias is present when only statistically significant outcomes are published or reported?
- Publication bias (selective reporting). Selective publication of positive results distorts the evidence base, overestimating effects and ignoring null findings.
- Identify the bias: a clinician rates treated clients as improved because they expect benefit.
- Observer-expectancy bias. Researchers' expectations subtly influence observations or ratings, leading to biased confirmation of anticipated outcomes.
- What bias occurs when knowledge of group assignment changes participant behavior?
- Performance bias. Awareness of assignment influences how participants act, potentially altering outcomes independent of the actual treatment effect.
- What threat occurs when repeated testing itself changes subsequent test performance?
- Testing (practice) effect. Familiarity gained from initial testing improves later performance, confounding interpretations of true change.
- Identify the limitation: outcomes are self-report only for a stigmatized behavior.
- Social desirability response bias risk. Self-reports on stigmatized topics are prone to underreporting or distortion to align with social norms, compromising data accuracy.