QUALITATIVE RIGOR
Qualitative projects seek to collect and understand non-numerical data by relying on the researcher as the main instrument of data collection and interpretation. Therefore, anyone involved in a qualitative research project must acknowledge how their personal and professional background influence planning, collection, and interpretation of the data. Qualitative rigor addresses concerns about biases that may arise in a project. A rigorous process will result in more trustworthy findings. This done through comparability, confirmability, credibility, and dependability.
What is it? Credibility involves accurately and fairly representing data and interpretation. In some qualitative projects, credibility is also referred to as truth value.
The types and volume data collection could be overwhelming depending on the research questions, aims, and goals, but it is important to provide sufficient information on between the results and data. Credibility can be achieved through member checking which is verifying research findings with participants.
- In qualitative research planning, credibility could be applied through identifying possible coders for the data and planning the steps to address coding decisions.
- You can apply credibility to qualitative data collection by varied types of data collection and spending an extended period of time during that phase.
- For qualitative data analysis, credibility can be applied by identifying negative cases in the coding process and using raw data to provide rationale for applying codes.
How can we help you?
- Identify the most appropriate elements of credibility to apply to your qualitative project
- Coaching on how to coordinate and make decisions about coding when there are multiple coders
FAQ About Credibility
No. It is helpful to have at least one method of comparability in your qualitative project.
Common challenges include researcher biases or preconceptions, limited participant diversity, data collection and interpretation subjectivity, ensuring data saturation, managing researcher-participant relationships, and maintaining confidentiality and ethical standards.
Ensuring credibility enhances the value and impact of qualitative research findings by providing clients with trustworthy and actionable insights. Credible findings support evidence-based decision-making, inform strategic recommendations, and build confidence in offered services and expertise.
Strategies include thorough research planning and design, transparent and ethical data collection practices, systematic data analysis using established frameworks or codes, engaging in continuous reflexivity and peer debriefings, triangulating data sources, and validating findings through member checking or external audits.
Professionals can communicate credibility by transparently explaining research methodologies, validation processes, limitations, and strengths in reports or presentations. Providing examples of data triangulation, member checking outcomes, and researcher reflexivity can further reinforce the credibility of research findings to clients.
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Peggy Ostrander, DNPc, APRN, FNP-C Plano, Texas