Description
Standardized test scores and other outcome-based data are useful tools but they also paint an incomplete picture that papers over the cracks in our education system. Peel away the layers however and you discover hidden factors that contribute to the achievement gap and chronic low school performance.
Ruth S. Johnson and Robin Avelar La Salle dramatically illustrate how data from nontraditional sources – disciplinary policies teacher attendance special education referrals and more – can be used to uncover and eliminate systemic inequities. This solution-focused guide
Helps you identify sources of data and questions to ask
Examines disparities in graduation rates special education placement and the achievement of English learners
Includes data exercises to help you analyze your school or district as you read
Data Strategies to Uncover and Eliminate Hidden Inequities arms you with the tactics you need to challenge the status quo and take decisive action.
FeaturesTitle – Data Strategies to Uncover and Eliminate Hidden Inequities
Sub Title – The Wallpaper Effect
Authored – Ruth S. Johnson
Primary Author – California State University Los Angeles
Binding – Paperback
Pages – 312
Publication Date – 04-Aug-10
Primary Subject Code – Data-Driven Decision Making – CAC
Year – 2010
Item weight – 22oz.
About the AuthorRuth S. Johnson is a professor emeritus at California State University Los Angeles. She has served in a variety of educational settings in New Jersey and California. Ruth received her Ed.D. in 1985 from Rutgers The State University of New Jersey. Her dissertation was titled An Exploratory Study of Academic Labeling Student Achievement and Student Ethnographic Characteristics. At the K-12 level she served as a classroom teacher an instructional consultant
