Mixed Methods Research and Evaluation, May 2024

Instructor: Cherie M. Avent

This course introduces evaluators and researchers to mixed methods inquiry. Combining mixed method approaches can allow for better understanding and solving complex problems. Further, mixed methods engage diverse viewpoints. We will explore the nature and purpose of mixed methods, techniques for designing and conducting a mixed-method study, and strategies for reporting findings.

Module 1: History and Purposes of Mixed Methods

May 20, 12 p.m.-3 p.m. EDT

Module 1 builds a foundation for understanding mixed methods. Participants will learn the roots of mixed methods, their advantages and difficulties, and their rationales for conducting mixed methods. The objectives of Module 1 include:

  • Define mixed methods

  • Understand the history of why mixed methods emerged

  • Describe the nature and purposes of mixing methods

  • Explain the benefits and challenges of mixing methods

Module 2: From the Page to the Stage

May 21, 12 p.m.–3 p.m. EDT

Once we understand the purpose(s) of mixing methods, we will design a mixed methods study. Module 2 focuses on creating a mixed-method study, from writing research questions to selecting and implementing a design type. We will explore different mixed methods designs, including but not limited to sequential, convergent, and nested designs. In small groups, participants can practice writing research questions and constructing a mixed-methods study. The objectives of module 2 include:

  • Develop mixed methods research questions

  • Learn components of core mixed method designs

  • Create a mixed-method study

  • Evaluate mixed methods research

Module 3: Integrating Data in Mixed Methods Research and Disseminating Findings

May 22, 12 p.m.–3 p.m. EDT

A key element of mixed methods research and evaluation is integrating qualitative and quantitative data. More specifically, how do the qualitative and quantitative data interact with one another? Module 3 centers on steps for conducting and reporting the findings of data integration. Additionally, we will discuss strategies for disseminating mixed methods results in ways that present a compelling story based on the data while also respecting qualitative and quantitative traditions. The objectives of module 3 include:

  • Define integration

  • Understand practices for integrating qualitative and quantitative data

  • Explore approaches for sharing results of a mixed methods study

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