Using logic models in mixed methods research: the example of theIntegrating English randomised controlled trial

This chapter focuses on using logic models as a way of framing mixed methods approaches, which have come to prominence in randomised controlled trials (RCTs). The framework and rationale of logic models motivates a principled eclecticism in our approach to mixed methods research (MMR). It justifies the combination of data collection methods and analyses in measuring and testing the process and outcomes of large-scale research, including RCTs. We summarise an approach to logic models developed in earlier work (Coldwell & Maxwell, 2018) and exemplify its application to a specific RCT, Integrating English, highlighting prompts that can determine an appropriate mix of data collection methods. From these and other applications, we consider issues in the future and challenges involved in applying this approach in MMR. The case is made for MMR exposing the strengths and limitations of logic models and for providing rich, action-oriented data on intervention-based research such as RCTs.

Publication Details

Journal
SHURA (Sheffield Hallam University Research Archive) (Sheffield Hallam University)
Published
2026-02-17
Primary Topic
Health Policy Implementation Science
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article
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article

Using logic models in mixed methods research: the example of theIntegrating English randomised controlled trial

SHURA (Sheffield Hallam University Research Archive) (Sheffield Hallam University)
Health Policy Implementation Science
article

Using logic models in mixed methods research: the example of theIntegrating English randomised controlled trial

article en

Abstract

This chapter focuses on using logic models as a way of framing mixed methods approaches, which have come to prominence in randomised controlled trials (RCTs). The framework and rationale of logic models motivates a principled eclecticism in our approach to mixed methods research (MMR). It justifies the combination of data collection methods and analyses in measuring and testing the process and outcomes of large-scale research, including RCTs. We summarise an approach to logic models developed in earlier work (Coldwell & Maxwell, 2018) and exemplify its application to a specific RCT, Integrating English, highlighting prompts that can determine an appropriate mix of data collection methods. From these and other applications, we consider issues in the future and challenges involved in applying this approach in MMR. The case is made for MMR exposing the strengths and limitations of logic models and for providing rich, action-oriented data on intervention-based research such as RCTs.

SHURA (Sheffield Hallam University Research Archive) (Sheffield Hallam University)
Openalex Percentile: Top 99%
Health Policy Implementation Science
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