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What is Confirmability

Handbook of Research on Mixed Methods Research in Information Science
In qualitative studies, this refers to the extent to which the outcomes of the scientific investigation could be verified by other researchers.
Published in Chapter:
Using Mixed Methods Research to Explore User Loyalty in Selected Academic Libraries in Ghana With an Emphasis on Rigorousness
Dominic Dankwah Agyei (University of Health and Allied Sciences, Ghana)
DOI: 10.4018/978-1-7998-8844-4.ch018
Abstract
In recent times, there has been a progressive increase in the use of mixed methods research design among library and information science (LIS) researchers. While this observation is encouraging, the challenge that needs to be resolved by stakeholders is the quality of the findings of these studies. Just as studies that use qualitative or quantitative research designs have quality indicators, studies that are guided by mixed methods research designs should also be measured with appropriate quality indicators. Methodological rigor (how rigorous a study is conducted) has thus become a keen focus in mixed methods research. This chapter is a report on the experience of how rigor was achieved in a Ph.D. thesis that used an exploratory sequential mixed methods research design to explore strategies for building user loyalty in selected academic libraries in Ghana. This chapter contributes to the debate on mixed methods research in LIS by highlighting basic rigor indicators.
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More Results
Self-Discovery: Data Collection From Self and Others for Individual and Societal Implications
Confirmability of qualitative data may be assured as data are checked and rechecked throughout the data collection and analysis process to assess repeatability and as one measure for overall data trustworthiness. Traditional qualitative methods of confirmability may not apply to self-as-subject research as these intrinsic and highly personal results may not be corroborated, and critics have noted this is a challenge for methods such as autoethnography and heuristic inquiry as lacking the rigor of conventional research. However, evaluation of confirmability within self-as-subject research can be adapted by alternative means for authenticity and transparency or post-data analysis reflections on bias or distortion.
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