Instructor: Jessie Kemmick Pintor, PhD MPH, Assistant Professor Health Management and Policy, Dornsife School of Public Health & Adaobi Anakwe, PhD, MPH, Assistant Professor Health Management and Policy, Dornsife School of Public Health

Dates:Monday, June 23 - Friday, June 29

Times: 1:00 p.m. - 4:00 p.m. EST

Format: In-person instruction

This course provides an introduction and to qualitative data and analysis and the integration of quantitative and qualitative data in mixed methods research designs. Students will be introduced to a range of qualitative primary data collection approaches and will learn how to analyze qualitative data through both hand coding and with analytic software. The course will also include an introduction to the integration of quantitative and qualitative data and methods. Students will learn about the pragmatic approach to study design in which the research/evaluation question at hand drives the selection of methods. The advantages and challenges to mixed methods research will be covered, as well as an overview of the major mixed methods study designs.

Learning objectives:

Explain the role and describe applications of quantitative and qualitative methods for assessing population health and health equity.
Identify the strengths, limitations, and underlying philosophical assumptions and interpretive framework of qualitative methods, data, and analysis.
Assess the advantages, disadvantages, and complementary nature of qualitative and quantitative data.
Describe ethical considerations in qualitative and mixed methods research.
Analyze and interpret qualitative and mixed methods data.

Prerequisite knowledge: None

Technical requirements: None

Continuing Education Credits*: 1.5 CEU or 15 CPH

Qualitative & Mixed Methods Approaches