EBP#2 Chpt 26: Trustworthiness and Rigor in Qualitative Research

This set of vocabulary flashcards covers the criteria, perspectives, and strategies for ensuring trustworthiness and rigor in qualitative research based on the Lincoln-Guba framework.

Terminology Controversy

One of several controversies surrounding the issue of quality in qualitative studies.

Lincoln–Guba Framework

A framework concerning the “trustworthiness” of qualitative data and analysis, encompassing five specific criteria.

Credibility

Confidence in the truth of the data and interpretations of them, enhanced by carrying out the study in a way that increases the believability of findings.

Dependability

The stability or reliability of data over time and conditions.

Confirmability

A criterion ensuring that data represents participants rather than researchers.

Transferability

The extent to which findings can be transferred to or have applicability in other settings or groups.

Authenticity

The extent to which researchers fairly and faithfully show a range of realities.

Criticality

The researcher’s critical appraisal of every research decision.

Integrity

Demonstrated by ongoing self-scrutiny to enhance the likelihood that interpretations are valid and grounded in the data.

Reflexivity Strategies

Methods such as maintaining a journal or diary and conducting bracketing interviews to examine the researcher's influence.

Data and Method Triangulation

The use of multiple referents (such as data, time, space, person, or method) to draw conclusions about what constitutes truth.

Audit Trail

A comprehensive and vivid recording of information used to enhance quality in qualitative inquiry.

Member Checking

Providing feedback to participants to verify results, which may involve Synthesized member checking (SMC).

Investigator Triangulation

The use of two or more researchers to make coding, analysis, and interpretation decisions.

Theory Triangulation

The use of competing theories or hypotheses in analyzing and interpreting data.

Analysis Triangulation

Using two or more analytic techniques to analyze the same set of data.

Negative Case Analysis

The search for disconfirming evidence and competing explanations during coding and analysis.

Peer Debriefing

Engaging in peer review and discussions to enhance the quality of the inquiry.

Inquiry Audits

The scrutiny of data and supporting documents by an external reviewer.

Thick and Contextualized Description

A quality-enhancement strategy relating to the presentation of findings.

Researcher Credibility

The focus on the researcher's qualifications and experience as a tool for establishing the quality of the study.