Research Report Data Use for Continuous Quality Improvement: What the Head Start Field Can Learn from Other Disciplines - A Literature Review and Conceptual Framework
Teresa Derrick-Mills, Heather Sandstrom, Sarah L. Pettijohn, Saunji D. Fyffe, Jeremy Koulish
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This report summarizes research on the processes, facilitators, and impediments to data use for continuous quality improvement; develops a conceptual framework representing the elements of data use for continuous quality improvement; provides linkages between the disciplines from which the literature was drawn and the Head Start field; and suggests areas for future research. The review reflects seminal and current works that originate in empirical and professional sources in the fields of educational leadership and management, health care management, nonprofit leadership and management, public management, and organizational learning and development. The resulting conceptual framework describes the elements of leadership, analytic capacity, commitment of resources, professional development, a culture of collaborative inquiry, a continuous cycle, organizational characteristics, and environmental characteristics.
Research and Evidence Research to Action Work, Education, and Labor Family and Financial Well-Being Technology and Data Nonprofits and Philanthropy
Expertise Nonprofits and Philanthropy Research Methods and Data Analysis Early Childhood
Tags Child care Head Start and Early Head Start Early childhood education Child care and early education Data and technology capacity of nonprofits Children and youth Performance measurement and management