This course will take place over three mornings (10/2/23, 10/4/23, and 10/6/23), 2.5 hours per morning, and will be offered via Zoom. Attendance is required as the course will not be recorded.

This course introduces participants to constructivist grounded theory (CGT). Grounded theory (GT) methods consist of flexible guidelines to fit particular research problems, not to apply mechanically. With these guidelines, you expedite and systematize data collection and analysis. GT methods can assist researchers in making their work more analytic, precise, and compelling.

In this course, following an exploration of the history and development of GT, we examine GT basic guidelines and major strategies, including initial line-by-line and focused coding, the use of gerunds, memoing, diagramming, theoretical sampling, and categorising. Throughout the sessions, there is an emphasis on CGT's epistemological foundation and resultant adaptations to the research process, including regarding the literature review, researcher positionality/ies and reflexivity, and participant involvement.

The course will include a number of hands-on exercises to exemplify, and give participants an opportunity to practice, the strategies being discussed. For the coding exercise, you may bring and use some of your own qualitative data, or if you do not have data yet, some will be supplied. Clear guidelines and support are provided to course participants with regard to all aspects of CGT.

The sessions will utilise CGT readings and resources from Kathy Charmaz, Robert Thornberg, Adele Clarke, and the presenter, Elaine Keane, and will draw on the extensive scholarship of Barney Glaser and Anselm Strauss. A pack of materials will be shared with participants in advance of the course. This course will be of interest to those doing full CGT studies but also to those who may be interested in learning about and potentially using some of the powerful GT strategies (such as coding) in studies with a different overall methodological approach.

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In this session, participants will have the opportunity to ask questions and seek feedback on their qualitative analysis from facilitators and other attendees. This session serves as a workshop in which participants get a chance to discuss and review qualitative analysis techniques while also learning from others.

To attend, participants must be working on a qualitative data analysis project and can seek feedback on any step in the process (e.g., coding, creating matrices/diagrams/other products, developing categories or themes, summarizing data). Participants must have attended an Introduction to Qualitative Data Analysis training offered by NC TraCS (either the session offered on September 26, 2023 or a previously offered session).

Please note: We will not be presenting information about qualitative analysis in this session; instead, we will ask participants to share where they are in their analysis process, ask questions about their analyses, and collectively discuss strategies for moving our analyses forward.

Facilitators:
MaryBeth Grewe, MPH, Engagement and Qualitative Research Specialist
Simone Frank, MPH, Community Engagement and Outreach Specialist
Courtney Canter, MA, Qualitative Research Specialist

Eligibility Screener

This course will take place over three mornings (10/2/23, 10/4/23, and 10/6/23), 2.5 hours per morning, and will be offered via Zoom. Attendance is required as the course will not be recorded.

This course introduces participants to constructivist grounded theory (CGT). Grounded theory (GT) methods consist of flexible guidelines to fit particular research problems, not to apply mechanically. With these guidelines, you expedite and systematize data collection and analysis. GT methods can assist researchers in making their work more analytic, precise, and compelling.

In this course, following an exploration of the history and development of GT, we examine GT basic guidelines and major strategies, including initial line-by-line and focused coding, the use of gerunds, memoing, diagramming, theoretical sampling, and categorising. Throughout the sessions, there is an emphasis on CGT's epistemological foundation and resultant adaptations to the research process, including regarding the literature review, researcher positionality/ies and reflexivity, and participant involvement.

The course will include a number of hands-on exercises to exemplify, and give participants an opportunity to practice, the strategies being discussed. For the coding exercise, you may bring and use some of your own qualitative data, or if you do not have data yet, some will be supplied. Clear guidelines and support are provided to course participants with regard to all aspects of CGT.

The sessions will utilise CGT readings and resources from Kathy Charmaz, Robert Thornberg, Adele Clarke, and the presenter, Elaine Keane, and will draw on the extensive scholarship of Barney Glaser and Anselm Strauss. A pack of materials will be shared with participants in advance of the course. This course will be of interest to those doing full CGT studies but also to those who may be interested in learning about and potentially using some of the powerful GT strategies (such as coding) in studies with a different overall methodological approach.

Register

NC BERD Seminar: Statistical Power: Understanding the inputs and how you come up with them

This session will cover approaches to estimate statistical power, sample size, and effect estimates to be considered in the study design phase.

Presenter: Walter Ambrosius, PhD
Professor, Biostatistics and Data Science, Wake Forest University School of Medicine

This event is hosted by Wake Forest and being cross-promoted by the NC BERD Consortium, a collaboration of the CTSA-funded BERD cores at UNC-Chapel Hill, Wake Forest University School of Medicine, and Duke University School of Medicine.

Join the UNC Program for Precision Medicine in Health Care (PPMH) for Cystic Fibrosis: Precision Treatment of a Rare Monogenic Disease, a free virtual mini-symposium.

Cystic fibrosis (CF) is caused by two single-nucleotide changes to a single gene, the cystic fibrosis transmembrane conductance regulator (CFTR). The CFTR gene contains the instructions for making a protein that carries water and salt across cell membranes. When the CFTR gene is not working correctly, mucus can accumulate in the lungs and digestive system.

Speakers will address research into developing new CF therapies, methods for determining which therapy will most benefit individual patients with CF, and how the EHR can be leveraged to streamline treatment for patients with CF.

Presentations

Developing small-molecule therapies to rescue rare CFTR variants
Rhianna Lee, PhD
Postdoctoral associate, Duke University, Cell Biology Department

Personalized medicine, the fight against antibiotic resistance, and precision dosing
Gauri Rao, PharmD
Associate Professor, USC Mann School of Pharmacy and Pharmaceutical Sciences, University of Southern California Adjunct Associate Professor, UNC Eshelman School of Pharmacy, UNC Chapel Hill

From Data to Dosing: Streamlining CF modulator choices
Michael Adams, MD
Clinical Instructor, Division of Genetics & Metabolism, Department of Pediatrics, UNC School of Medicine

For more information, visit www.med.unc.edu/ppmh.

register

Contact This email address is being protected from spambots. You need JavaScript enabled to view it. with any questions.

This course will be offered IN-PERSON only (10/5/23 from 9:30am – 4pm US Eastern) in Davis Library Room 219. Attendance is required as the course will not be recorded.

Cognitive interviewing in survey research is a methodology researchers use to gain a better understanding of how respondents think when answering specific survey items. Data gathered using the cognitive interview approach help researchers identify and remedy issues with their questionnaires. This short course is designed to provide participants with fundamentals on how to design, conduct, and analyze cognitive interviews. Participants will have the opportunity to practice specific cognitive interviewing techniques, including think-alouds, probing, and observation. Participants will also learn about revising survey questions based on interpreting cognitive interview results.

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AI Health Virtual Seminar: Introduction to Machine Learning and Artificial Intelligence in Health

The transformation in artificial intelligence (AI) and machine learning (ML) is impacting clinical medicine with potential for benefit but also harm. In this one-hour virtual seminar, we'll introduce AI and ML, highlight capabilities of current methods for images, text, and other big data in clinical settings, and discuss considerations in how to use these powerful methods responsibly.

This session will be a high-level introduction accessible to people with no prior knowledge of artificial intelligence.

Speaker:
Matthew Engelhard, MD, PhD
Assistant Professor of Biostatistics and Bioinformatics
Director of the Duke AI Health Data Science Fellowship Program

Host:
Shelley Rusincovitch, MMCi
Managing Director
Duke AI Health

This event is sponsored by Duke AI Health; the Duke University Departments of Biostatistics & Bioinformatics, Computer Science, and Electrical and Computer Engineering; the Duke Center for Computational Thinking; Duke CTSI; CTSI CREDO; and the Pratt School of Engineering. It is being cross-promoted by the North Carolina BERD Consortium (Duke University School of Medicine, University of North Carolina-Chapel Hill, and Wake Forest School of Medicine).

This course will take place over three mornings (10/2/23, 10/4/23, and 10/6/23), 2.5 hours per morning, and will be offered via Zoom. Attendance is required as the course will not be recorded.

This course introduces participants to constructivist grounded theory (CGT). Grounded theory (GT) methods consist of flexible guidelines to fit particular research problems, not to apply mechanically. With these guidelines, you expedite and systematize data collection and analysis. GT methods can assist researchers in making their work more analytic, precise, and compelling.

In this course, following an exploration of the history and development of GT, we examine GT basic guidelines and major strategies, including initial line-by-line and focused coding, the use of gerunds, memoing, diagramming, theoretical sampling, and categorising. Throughout the sessions, there is an emphasis on CGT's epistemological foundation and resultant adaptations to the research process, including regarding the literature review, researcher positionality/ies and reflexivity, and participant involvement.

The course will include a number of hands-on exercises to exemplify, and give participants an opportunity to practice, the strategies being discussed. For the coding exercise, you may bring and use some of your own qualitative data, or if you do not have data yet, some will be supplied. Clear guidelines and support are provided to course participants with regard to all aspects of CGT.

The sessions will utilise CGT readings and resources from Kathy Charmaz, Robert Thornberg, Adele Clarke, and the presenter, Elaine Keane, and will draw on the extensive scholarship of Barney Glaser and Anselm Strauss. A pack of materials will be shared with participants in advance of the course. This course will be of interest to those doing full CGT studies but also to those who may be interested in learning about and potentially using some of the powerful GT strategies (such as coding) in studies with a different overall methodological approach.

Register

Evaluating quantitative research beyond statistical significance: Abelson's MAGIC criteria

The NC TraCS Biostatistics Seminar Series helps clinical and translational researchers collaborate more effectively with consulting biostatisticians by building deeper understanding of key statistical concepts and methods. Researchers then are better able to (1) evaluate relevance of the concept or method for research aim(s) definition and choice of study design; and (2) properly interpret the results of data analysis.

How should we evaluate the results from a quantitative study? A common, but unfortunate way is to examine the p-value. If it's not significant, the study wasn't good; if it's significant, then good; and if it's highly significant, then very good. In this seminar, Jeff Laux, PhD, will introduce Robert Abelson's MAGIC criteria for evaluating quantitative results.

Laux is a consulting biostatistician and research associate with the Biostatistics Service at NC TraCS Institute and an adjunct instructor with the Department of Biostatistics in the Gillings School of Global Public Health.

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Hybrid Studies Should Not Sacrifice Rigorous Methods

This NIH Collaboratory Rethinking Clinical Trials Grand Rounds features:

Speaker: David M. Murray, PhD
NIH Associate Director for Prevention and Director, NIH Office of Disease Prevention

Moderator: Jonathan C. Moyer, PhD
Statistician, NIH Office of Disease Prevention

Learn More