How Instructional Coaches Support Data-Driven Decision Making

  • Marsh J
  • Sloan McCombs J
  • Martorell F
  • 39


    Mendeley users who have this article in their library.
  • N/A


    Citations of this article.


This article examines the convergence of two popular school improvement policies: instructional coaching and data-driven decision making (DDDM). Drawing on a mixed methods study of a statewide reading coach program in Florida middle schools, the article examines how coaches support DDDM and how this support relates to student and teacher outcomes. Authors find that although the majority of coaches spent time helping teachers analyze student data to guide instruction, data support was one among many coach activities. Estimates from models indicate that data analysis support, nevertheless, has a significant association with both perceived improvements in teaching and higher student achievement.

Get free article suggestions today

Mendeley saves you time finding and organizing research

Sign up here
Already have an account ?Sign in

Find this document


  • Julie A. Marsh

  • Jennifer Sloan McCombs

  • Francisco Martorell

Cite this document

Choose a citation style from the tabs below

Save time finding and organizing research with Mendeley

Sign up for free