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Date(s) - 22/05/2023


EnCompass LLC


Date(s): May 22 and 23, 2 p.m.–5 p.m. EDT

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
May 22, 2 p.m.–5 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
May 23, 2 p.m.–5 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
May 24, 2 p.m.–5 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

For further details and to book your place, click here.