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A Framework for Understanding Community Colleges' Organizational Capacity for Data Use: A Convergent Parallel Mixed Methods Study

Kerrigan, Monica Reid

Journal of mixed methods research. Volume 8:Number 4 (2014, October); pp 341-362 -- Sage Publications on behalf of Mixed Methods International Research Association

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  • Title:
    A Framework for Understanding Community Colleges' Organizational Capacity for Data Use: A Convergent Parallel Mixed Methods Study
  • Author: Kerrigan, Monica Reid
  • Found In: Journal of mixed methods research. Volume 8:Number 4 (2014, October); pp 341-362
  • Journal Title: Journal of mixed methods research
  • Subjects: Mixed methods research--Periodicals; Research--Evaluation--Periodicals; Social sciences--Research--Methodology--Periodicals; data-driven decision making--capital--mixed methods--case study--quantitizing; Dewey: 507.21
  • Rights: legaldeposit
  • Publication Details: Sage Publications on behalf of Mixed Methods International Research Association
  • Abstract:

    This convergent parallel design mixed methods case study of four community colleges explores the relationship between organizational capacity and implementation of data-driven decision making (DDDM). The article also illustrates purposive sampling using replication logic for cross-case analysis and the strengths and weaknesses of quantitizing qualitative data in a mixed methods design. The findings suggest that community colleges' organizational capacity for data-driven decision making is a function of human and social capital, but not physical capital. Methodologically, the data analyses suggest that researchers considering quantitizing qualitative data should consider an exploratory sequential design to better understand the phenomenon under study before reducing qualitative data to numbers.


  • Identifier: System Number: LDEAvdc_100058231431.0x000001; Journal ISSN: 1558-6898; 10.1177/1558689814523518
  • Publication Date: 2014
  • Physical Description: Electronic
  • Shelfmark(s): ELD Digital store

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