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Quality Management in U.S. High Schools: Evidence from the Field ,
Abstract
This article reports on the first stages of a longitudinal study examining the implementation of a reform effort in high schools known as Quality Management (QM). Quality Management is defined as the use of the following seven practices: continuous improvement, customer focus, systems thinking, leadership, studying and evaluating processes, data-based decision making, and training. Interview and survey data from a national sample of purposively chosen high schools show limited results in terms of the effective use and institutionalization of the seven Quality practices by classroom teachers, though the lessons learned and examples of best practices are instructive. Contextual factors that aid or inhibit the implementation QM practices are identified and explicated. The findings provide insight into the implementation of systemic school reform efforts, with particular emphasis on the critical leadership role of principals.
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“Other studies have consistently found that school leaders who are able to effectively use data for decision making are knowledgeable about and committed to data use, and thus they build a strong vision for data use in their schools (e.g., Detert et al., 2000; Mason, 2002; Lachat and Smith, 2005; Mieles and Foley, 2005).”
From Making Sense of Data-Driven Decision Making in Education: Evidence from Recent RAND Research (2006) · cites this paper as Detert et al., 2000
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Cited by
Accountability Policies and Teacher Decision Making: Barriers to the Use of Data to Improve Practice
Ingram, D., Louis, K. S., & Schroeder, R. G. (2004) · Teachers College Record: The Voice of Scholarship in Education · doi:10.1111/j.1467-9620.2004.00379.x · Cited by 373
Making Sense of Data-Driven Decision Making in Education: Evidence from Recent RAND Research
(2006) · RAND Corporation eBooks · doi:10.7249/op170 · Cited by 202
Metadata
- Authors
- Detert, J. R., Kopel, M. E. B., Mauriel, J. J., & Jenni, R. W.
- Venue
- Journal of School Leadership
- Publisher
- SAGE Publications
- Published
- 2000-03
- Volume
- 10
- Issue
- 2
- Pages
- 158-187
- ISSN
- 1052-6846
- Cited by
- 15
- References
- 0
- Language
- en
- Licence
- journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.