Evidence-Based Practice and Research Methodology Vocabulary

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Comprehensive vocabulary flashcards covering research ethics, integrity, study design, validity, statistical appraisal, and evidence-based practice concepts.

Last updated 1:55 PM on 9/15/26
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37 Terms

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Fabrication

The practice of making up research data or results.

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Falsification

The manipulation of research processes or data to misrepresent findings.

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Plagiarism

The act of using someone else's work or ideas without proper creditation.

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Conflict of Interest (COI)

A situation where an individual's personal or financial interests could potentially influence their professional actions or decisions.

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p-hacking

The practice of manipulating data or statistical analyses until statistically significant results (p<0.05p < 0.05) are obtained.

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HARKing

Hypothesizing After Results are Known; generating hypotheses after study results are known and presenting them as if formulated prior to data collection.

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Spin

The deliberate overemphasis of positive trends or distortion of findings in scientific publications to misrepresent inconclusive or non-significant results.

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Autonomy

Self-determination; the ethical principle recognizing the capacity of individuals to make decisions affecting their lives and to act on those decisions.

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Beneficence

The ethical obligation to attend to the well-being of research participants by maximizing potential benefits and minimizing possible risks or harms.

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Justice

The ethical principle requiring fairness in research, specifically the equitable distribution of the benefits and burdens among subject populations.

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Institutional Review Board (IRB)

An administrative committee that reviews research protocols to protect the rights and welfare of human subjects and ensure compliance with ethical standards.

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Practice Effects

Performance changes that occur in a repeated measures study because participants become familiar with the task or testing procedure.

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Carryover Effects

A threat to validity in repeated measures designs where the lingering effects of one intervention persist and influence participant performance during a subsequent condition.

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Order Effects

The biasing effect of test sequence in repeated measures studies caused by learning, fatigue, or sequence changes when all participants receive treatments in the same sequence.

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Quantitative Research

Research focused on the measurement of outcomes using numerical data under standardized conditions to enable statistical analysis.

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Qualitative Research

Research focused on a deep understanding of a phenomenon through narrative descriptions, open-ended questions, interviews, and observations.

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Basic Research

Empirical research typically conducted in a laboratory setting ('bench' research) to obtain data for developing, refining, or testing theories.

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Applied Research

Research directed toward solving pressing practical problems with functional applications under real-world clinical conditions.

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Translational Research

The bidirectional process of transferring scientific findings from 'bench to bedside' and back from 'bedside to bench' to develop clinical guidelines and therapies.

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Descriptive Research

Research that documents the characteristics of a group of individuals on a set of specified variables.

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Exploratory Research

Observational research designed to examine a phenomenon of interest and explore how it relates to other factors within populations (e.g., cohort or case-control studies).

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Explanatory Research

Experimental research that compares two or more conditions or interventions to establish cause-and-effect relationships.

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Pretest-Posttest Control Group Design

An experimental design evaluating intervention effects by taking baseline (pretest) and post-intervention (posttest) measures across two or more randomized groups.

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Posttest-Only Control Group Design

An experimental design where participants are randomly assigned to groups and evaluated only after the intervention is administered.

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Factorial Design

An experimental design evaluating the main and interaction effects of two or more independent variables across unique combination groups.

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Repeated Measures Design

An experimental study design where a single group of participants is exposed to all experimental conditions, with each subject acting as their own control.

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Mixed Design

A study design combining at least one between-subjects independent factor (e.g., intervention group) and at least one within-subjects repeated factor (e.g., time points).

<p>A study design combining at least one between-subjects independent factor (e.g., intervention group) and at least one within-subjects repeated factor (e.g., time points).</p>
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Internal Validity

The degree to which a study accurately demonstrates a causal relationship between independent and dependent variables without confounding factors.

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External Validity

The extent to which study findings can be generalized to other populations, clinical settings, or real-world timeframes.

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p-value

The probability that observed experimental results occurred by chance, where values less than 0.050.05 (p<0.05p < 0.05) are typically considered statistically significant.

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Confidence Interval (CI)

A calculated range within which the true effect size is expected to lie with a specified level of confidence (typically 95%95\%).

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Effect Size

A quantitative measure of the magnitude of a difference between groups or the strength of a relationship between variables (e.g., Cohen's d).

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Selection Bias

Bias introduced when study sample selection produces a non-representative group, compromising generalizability to the target clinical population.

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Measurement Bias

Systematic error introduced by inaccurate measurement tools or inconsistent data collection procedures.

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Reporting Bias

Selective reporting of study outcomes, such as suppressing non-significant or null findings.

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<p>Hierarchy of Evidence</p>

Hierarchy of Evidence

A systematic grading framework ranking research designs based on their inherent quality and control of bias, ranging from background/expert opinion at the base to systematic reviews at the top.

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<p>International Classification of Functioning, Disability and Health (ICF) Model</p>

International Classification of Functioning, Disability and Health (ICF) Model

A framework depicting human functioning as a dynamic interaction between health conditions, body functions/structures, activities, participation, and contextual (environmental/personal) factors.