• Summary
  • Contents
  • Subject index

Interpreting Standardized Test Scores: Strategies for Data-Driven Instructional Decision Making is designed to help K-12 teachers and administrators understand the nature of standardized tests and, in particular, the scores that result from them. This useful manual helps teachers develop the skills necessary to incorporate these test scores into various types of instructional decision making—a process known as “data-driven decision making”—necessitated by the needs of their students.

Student-Level Decision Making
Student-level decision making

The content of this module is a continuation of the process we examined in Module 7. However, the application—and adaptation—of that process in this module focuses on the revision of instruction to meet the needs of individual students. Similarly to the previous module, we will first examine the process, and then we will consider three examples.

A Process for Focusing on Individual Instruction (Intervention)

Standardized test data may also be used very effectively to guide the development of individualized intervention strategies. However, I again offer the same cautionary advice that was provided in Module 7. Remember that, generally speaking, achievement tests are intended to survey basic skills across a broad domain of content. Student performance on any given subtest must be interpreted ...

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