Categories

Journal Article: Using Correlational and Prediction Data to Enhance Student Achievement in K-12 Schools: A Practical Application for School Counselors

Categories

Education, Education/Statistics, Regression analysis, Attitudes toward education, Student achievements/Statistics, Microsoft Excel (Computer program)

Authors

Ware, William B.; Galassi, John P.

Published

2006, June

Abstract

Correlational data and regression analysis provide the school counselor with a method to describe growth in achievement test scores from elementary to high school. Using Microsoft Excel,, this article shows the reader in a step-by-step manner how to describe this growth pattern and how to evaluate interventions that attempt to enhance achievement and to reduce the achievement gap among ethnic groups. Reprinted by permission of the publisher.

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