Introduction to focus groups (online)

This course will be offered over two days (1/30 and 2/1 from 10am – 2pm US Eastern) via Zoom only. Attendance is required as the course will not be recorded.

Course Summary:

Focus groups are commonly used to capture rich information about attitudes and beliefs. This class will prepare prospective students to organize and moderate focus groups. Students will learn the most appropriate uses of focus groups, how to segment and recruit audiences, how to develop a moderator’s guide, and how to moderate focus groups. The class will be supplemented with real-life examples and hands-on exercises.

Instructor: Peyton Williams, MPH

Peyton Williams, MPH, is a research associate at RTI International in the Center for Communication Science. He has over 15 years’ experience as a focus group moderator, and is involved with all facets of qualitative data collection from moderator guide and screener generation, to conducting groups, and analyzing and reporting on findings. He has conducted focus groups with an array of audiences, such as physicians, youth, and vulnerable populations, and around a variety of topics including HIV, opioids, and nutrition. Clients he has worked for include the U.S. Centers for Disease Control and Prevention (CDC), the U.S. Food and Drug Administration (FDA), and state health departments.

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Introduction to focus groups (online)

This course will be offered over two days (1/30 and 2/1 from 10am – 2pm US Eastern) via Zoom only. Attendance is required as the course will not be recorded.

Course Summary:

Focus groups are commonly used to capture rich information about attitudes and beliefs. This class will prepare prospective students to organize and moderate focus groups. Students will learn the most appropriate uses of focus groups, how to segment and recruit audiences, how to develop a moderator’s guide, and how to moderate focus groups. The class will be supplemented with real-life examples and hands-on exercises.

Instructor: Peyton Williams, MPH

Peyton Williams, MPH, is a research associate at RTI International in the Center for Communication Science. He has over 15 years’ experience as a focus group moderator, and is involved with all facets of qualitative data collection from moderator guide and screener generation, to conducting groups, and analyzing and reporting on findings. He has conducted focus groups with an array of audiences, such as physicians, youth, and vulnerable populations, and around a variety of topics including HIV, opioids, and nutrition. Clients he has worked for include the U.S. Centers for Disease Control and Prevention (CDC), the U.S. Food and Drug Administration (FDA), and state health departments.

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This online training session will provide an introduction to qualitative research methods. Participants will have the opportunity to ask questions and share experiences conducting qualitative research.

Topics:

• Differences between quantitative and qualitative research
• Qualitative research methodologies
• Strategies for qualitative data collection
• Methods of qualitative data analysis

Presenters:
MaryBeth Grewe, MPH
Engagement and Qualitative Research Specialist
NC TraCS Institute
Simone Frank, MPH
Community Engagement and Outreach Specialist
NC TraCS Institute

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Qualitative data collection (online)

This one-day course will be offered via Zoom only. There will be a 1 hour lunch and (2) 10 minute breaks (1 in morning and 1 in afternoon). Attendance is required as it will not be recorded.

Course Summary:

This 6-hour course provides a general introduction to qualitative data collection methods, with an emphasis on applications within public health. We will examine the two most commonly used qualitative data collection methods – in-depth interviews (IDIs) and focus groups (FG). Supplemental qualitative data collection activities will also be covered. Course structure includes lecture, demonstrations, and hands-on exercises. Examples will include both domestic and international research contexts.

Instructor: Greg Guest, PhD

Greg Guest, PhD, is a Research Scientist in the Center for Health Equity Research at UNC. He is a medical anthropologist with 15+ years of public health research and evaluation experience. He has designed and led health studies among vulnerable and under-served populations in the United States, sub-Saharan Africa and Asia, with funding support from USAID, NIH and the Patient-Centered Outcomes Research Institute. Guest has a longstanding interest in developing and testing novel field research and evaluation methods, particularly in the context of mixed methods designs and multi-sector evaluation. He has authored multiple research methods textbooks including Collecting Qualitative Data: A Field Manual for Applied Research (Sage 2013).

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The SOM Office of Research is offering this online session to support researchers with the upcoming implementation requirements for the new NIH Data Management and Sharing (DMS) Policy . The session will cover the best ways to meet the requirements as well as outline available resources. If you have specific questions or areas of concern, please email them to This email address is being protected from spambots. You need JavaScript enabled to view it. for inclusion in the discussion.

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Effective January 25, 2023, the Data Management and Sharing (DMS) Policy applies to all research that meets these criteria:

• Is funded or conducted in whole or in part by NIH
• Results in the generation of scientific data

Research activities covered by the DMS Policy include the following regardless of funding level:

• Extramural competing grant applications submitted to NIH for January 25, 2023 and subsequent receipt dates.
• Extramural proposals for contracts submitted to NIH on or after January 25, 2023.
• Intramural research projects conducted on or after January 25, 2023.
• Other funding agreements executed on or after January 25, 2023, unless otherwise stipulated by NIH.
• Examples: Research Projects, Certain Career Development Awards (Ks), Small Business SBIR/STTR, Research Centers.

The DMS Policy does not apply to research and other activities that do not generate scientific data. Examples include: Training (Ts), Fellowships (Fs), Certain non-research Career Awards (e.g. KM1), Construction (C06), Conference Grants (R13), Resources (Gs), Research-related Infrastructure programs (e.g., S06) and non-research activities.

For more information and assistance creating your data management plan, visit guides.lib.unc.edu/nih-data-sharing.