Multiple Measures: Accurate Ways to Assess Student Achievement / Edition 1

Multiple Measures: Accurate Ways to Assess Student Achievement / Edition 1

ISBN-10:
0761976809
ISBN-13:
9780761976806
Pub. Date:
03/31/2000
Publisher:
SAGE Publications
ISBN-10:
0761976809
ISBN-13:
9780761976806
Pub. Date:
03/31/2000
Publisher:
SAGE Publications
Multiple Measures: Accurate Ways to Assess Student Achievement / Edition 1

Multiple Measures: Accurate Ways to Assess Student Achievement / Edition 1

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Overview

This easy-to-use guide to evaluating compensatory education programs offers a synthesis and an expansion of handouts, reports, graphs and charts, and communiques related to the authors' work with 50 school districts.


Product Details

ISBN-13: 9780761976806
Publisher: SAGE Publications
Publication date: 03/31/2000
Edition description: New Edition
Pages: 120
Product dimensions: 6.00(w) x 9.00(h) x (d)

About the Author

John Hollingsworth is president of Data WORKS Educational Research, a company originally created to use real data to improve student achievement. Although Data WORKS started by analyzing learning outcomes (test scores), it soon refocused towards analyzing learning inputs (classroom instructional practices).  Data WORKS now focuses mainly on providing staff development to schools on classroom instruction.  John is an active researcher and presenter and has published numerous articles in educational publications.  He spends much of his time on the road training teachers.

Dr. Silvia Ybarra, Ed.D., began her career in education as a physics and chemistry teacher at Roosevelt High School in Fresno, California.  Next, Silvia became principal of Wilson Middle School in Exeter, California, which under her leadership became a prestigious Distinguished School.  Silvia was then named assistant superintendent of Coalinga-Huron School District. Her focus progressed from helping one classroom to helping one school to helping an entire district.  Silvia is the head researcher at Data WORKS.  

Table of Contents

Introduction
A Multiple Measure Imperative
Testing
General Information
Testing
Reliability, Validity and Fairness
How to Combine Multiple Measures
Multiple Measures and Special Populations
Multiple Measures and Standards
Data-Driven School Improvement
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