Integrative Mixed Methods Data Analytic Strategies in Research on School Success in Challenging Circumstances

This article illustrates integrative analytic strategies for a mixed methods study focusing on improving urban schools facing challenging circumstances, which featured the iterative nature of mixing data sources at various points and allowed the researchers to pay attention to emergent insights made available through mixed methods research.

Abstract

There are both conceptual and practical challenges in dealing with data from mixed methods research studies. There is a need for discussion about various integrative strategies for mixed methods data analyses. This article illustrates integrative analytic strategies for a mixed methods study focusing on improving urban schools facing challenging circumstances. The research was conducted using a concurrent mixed methods approach. The qualitative and quantitative strands of data were analyzed independently through thematic analysis of qualitative data and factor analysis of survey data, followed by integrative data analytic procedures. The integrative data analytic approach included strategies such as parallel integration for member checking, data transformation for comparison, data consolidation for emergent themes, and case analysis for fine-grained descriptions of school profiles. The integrative data analysis process featured the iterative nature of mixing data sources at various points and allowed the researchers to pay attention to emergent insights made available through mixed methods research.