Mixed Methods Research and Evaluation

 

 

 

Mixed Methods Research and Evaluation, August 2021

Instructor: Cherie M. Avent 

This course introduces evaluators and researchers to mixed methods inquiry. Incorporating mixed method approaches can allow for better understanding and solving of 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
August 12, 9 a.m.–12 p.m. EDT

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

  • Define mixed methods
  • Understand the history of why mixed methods emerged
  • Describe the nature and purposes for mixing methods
  • Explain benefits and challenges to mixing methods

Module 2: Designing a Mixed Methods Study 
August 17, 9 a.m.–12 p.m. EDT

Once we understand the purpose(s) for mixing methods, designing a mixed methods study follows. 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 will have the opportunity to 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 
August 19, 9 a.m.–12 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 stud

 

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