Meta-Modeling Housing First

A Theory-Based Synthesis Approach

Authors

  • Sebastian Lemire University of California, Los Angeles
  • Christina A. Christie University of California, Los Angeles

DOI:

https://doi.org/10.3138/cjpe.52945

Keywords:

causation coding, Housing First, meta-analysis, meta-modeling, mixed methods, qualitative comparative analysis, theory-based synthesis

Abstract

Research synthesis has become an increasingly popular approach for summarizing primary research. In the past two decades, interest in mixed methods reviews has steadily grown, followed, more recently, by an increased attention to theory-based syntheses. This article advances and illustrates a practical application of meta-modeling—a mixed methods, theory-based synthesis approach. The proposed methodology combines meta-analytic and qualitative comparative techniques in developing a program theory—a meta-model—of how and why a program works. As the article illustrates, meta-modeling provides for a structured and transparent synthesis approach for building program theories across existing studies.

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Published

2019-01-21

How to Cite

Lemire, S., & Christie, C. A. (2019). Meta-Modeling Housing First: A Theory-Based Synthesis Approach. Canadian Journal of Program Evaluation, 33(3), 395–413. https://doi.org/10.3138/cjpe.52945

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