Think qualitative research is hard to evaluate for scientific rigor? Think again! This webinar will develop your skills in identifying the quality in qualitative studies and help you appreciate the value of qualitative research. You will get an overview of qualitative research study designs, learn criteria used to evaluate qualitative research, and develop your skills in quickly reading qualitative research article abstracts to evaluate the quality of a design. You will have the opportunity to share your knowledge and experience in evaluating qualitative research, and you will be invited to work on sample case studies during the session.
By the end of the webinar, you will be able to:
- identify advantages and disadvantages of qualitative approaches
- identify the types of research questions that qualitative approaches can address
- list the criteria used to evaluate qualitative research designs (e.g., reliability and accuracy, potential sources of bias)
- describe the defining features of qualitative approaches (e.g., interviews, focus groups, and participant-observations)
- select tools to evaluate the quality of qualitative research studies
All health information professionals with little or no knowledge of qualitative research.
Susan A. LaValley is an Institutional Research Training Grant (T32) National Research Service Award postdoctoral research fellow at the University at Buffalo Primary Care Research Institute, Department of Family Medicine. She has authored or coauthored a number of qualitative studies on caregiver social support and caregiver health information-seeking behaviors.
- Length: 1.5 hour webinar
- Date/Time: Thursday, September 13, 1:00 p.m.–2:30 p.m., central time
- Technical information: After you have registered, go to My Learning in MEDLIB-ED to access the live webinar, resources, evaluation, and certificate.
- Register, participate, and earn 1.5 MLA continuing education (CE) contact hours.
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You may also be interested in the companion September 5 Webinar...
Lisa Federer will take you through the process of evaluating quantitative studies, which are common in the biomedical literature.