Psychology Reader

Achieving Integration in Mixed Methods Designs

Michael D. Fetters, Leslie A. Curry, and John W. Creswell · 2013 · Health Services Research

Role
Methodological contribution · Major synthesis
Difficulty
Moderate
Full work length
23 pages
Type
Journal article

Access

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Reading focus

Syllabus: How Can We Study Experience and Meaning?

Locate the points where the examples connect data and develop a combined interpretation. Keep discordance visible.

Why you’re reading it. Distinguish an integrated inference from simply placing two sets of findings beside each other.

A question to consider. If students rate belonging highly but describe exclusion in interviews, how could the apparent disagreement refine the question rather than be averaged away?

Why this reading

Collecting numbers and interviews does not by itself explain how their findings belong together. Fetters and colleagues identify where integration can occur and illustrate what an integrated inference adds.

Before you read

A sequential design links stages over time; a convergent design brings separately analyzed evidence together. A joint display relates findings visually. Integration may connect sampling, inform data collection, compare analyses or link evidence at several stages.

Read for

  1. Trace how the hospital-care and adaptive-trial examples connect their questions, data and interpretations.
  2. Distinguish agreement, an expanded understanding and discordant findings; notice the different responses each calls for.

Consider afterwards

  1. If ratings suggest a service works well but interviews reveal serious difficulties, what would you examine before combining the findings?

Editorial context

The framework is illustrated through health-services research. Its examples are not an experiment establishing the superiority of mixed methods. Integration cannot repair a weak component by assertion, and disagreement may be informative rather than an error to eliminate.