Data-informed decision making on high-impact strategies: Developing and validating an instrument for principals

Jianping Shen, Van E. Cooley, Xin Ma, Patricia L. Reeves, Walter L. Burt, J. Mark Rainey, Wenhui Yuan

Research output: Contribution to journalArticlepeer-review

17 Scopus citations

Abstract

In this study, the authors connect 3 streams of literature to develop an instrument for measuring the degree to which principals engage in data-informed decision making on high-impact strategies that are empirically associated with higher student achievement. The 3 literature streams are (a) the importance of data-informed decision making, (b) the role of principals in school effectiveness, and (c) high-impact strategies for raising student achievement. The authors used Marzano's (2003) 11 high-impact strategies as a framework to develop items and collected data from 256 principals in Michigan to test the reliability (internal consistency) and (construct and factorial) validities of the instrument. The instrument, "Data-Informed Decision-Making on High-Impact Strategies: An Inventory for Principals," demonstrates good psychometric properties. Theoretical and practical implications are discussed.

Original languageEnglish
Pages (from-to)1-25
Number of pages25
JournalJournal of Experimental Education
Volume80
Issue number1
DOIs
StatePublished - Jan 1 2012

Bibliographical note

Funding Information:
The development of this instrument was part of a grant funded by the Wallace Foundation. The items were developed based on Marzano, R.J. (2003). What Works in Schools. Alexandria, VA: Association for Supervision and Curriculum Development. Both the Wallace Foundation and the Association for Supervision and Curriculum Development are acknowledged.

Keywords

  • data-informed decision-making
  • high-impact strategies
  • leadership measurement and development
  • principal leadership

ASJC Scopus subject areas

  • Education
  • Developmental and Educational Psychology

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