Applying qualitative comparative analysis (QCA) with mixed methods data from an orphans and vulnerable children project: Unpacking tradeoffs by embracing complex causal pathways
Session Number: 1239
Track: Mixed Methods Evaluation
Session Type: Demonstration
Tags: accelerating evaluation theory, practice, Actionable Results, qualitative research methods
Presenter 1: Zulfiya Charyeva [Senior Research Analyst - MEASURE Evaluation Palladium]
Presenter 2: Nena Do Nascimento [Technical Advisor ]
First Author or Discussion Group Leader: Allison Davis [Deptuy Director of Programs - Global Greengrants Fund]
Second Author or Discussion Group Leader: Nena Do Nascimento [Technical Advisor ]
Third Author or Discussion Group Leader: Jenifer Lynn Chapman [Technical Director, Monitoring, Evaluation and Learning - Palladium]
Time: Nov 15, 2019 (11:30 AM - 12:15 PM)
Room: CC 101 I
Audience Level: Beginner, Intermediate
Session Abstract (150 words):
Qualitative comparative analysis (QCA) is becoming more widely applied in the health sector—though usually in studies with a single data source. This session’s objective is to build participants’ knowledge about the uses of QCA and the skills needed to conduct QCA with mixed-methods data to answer complex questions. Facilitators from the USAID-funded MEASURE Evaluation project will demonstrate how they used QCA with mixed-methods data derived from routine project records and more than 100 interviews with project staff. This QCA study sought to unpack the complex relationship between modifiable attributes (e.g., caseload, training of case worker, supervision structure) of an orphans and vulnerable children project’s case management system and changes in beneficiary outcomes (HIV testing; antiretroviral therapy adherence). The analysis yielded critical information to the program and donor on how to modify the case management system to maximize improvements in beneficiary outcomes, enabling informed dialogue and action to improve efficiency.
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