Data Analysis for Instructional Leaders

Data Analysis for Instructional Leaders

The Data Analysis for Instructional Leaders web-resource provides participants with information about using the results of screening, diagnosis, progress monitoring, and outcome assessments to guide instructional decision-making in grades K-12. Participants will learn to analyze student data and apply assessment and data analysis skills to instruction, curriculum, and school professional development plans. Use the index below to access and navigate through the content.

Unit 1: Foundations and Uses of Assessment

1.1: Goals and Objectives

1.2: Types of Assessments

1.3: Frame of Reference for Interpreting Scores – NRT and CRT

1.4: Frame of Reference for Interpreting Scores – Commonly Used Test Scores

1.5: Assessment Framework

Unit 2: Data Analysis

2.1: Screening Assessment

2.2: Data Trends and Disaggregated Data

2.3: Two Useful Tools to Analyze Data: DART Model

2.4: Two Useful Tools to Analyze Data: Curriculum Mapping and Focus Calendar

2.5: Data Analysis: Descriptive Statistics

Unit 3: Assessment Framework

3.1: Progress Monitoring

3.2: Diagnostic Assessment

3.3: Expectancy Table

3.4: Outcome Assessment

Data Analysis Resources

Glossary

References

Taking the DAFIL Training for Inservice Credit

Begin with Lesson 1.1 by using the next button below.

The Development of the training was funded through the Florida Department of Education,
and jointly developed by Florida State University and North East FL Educational Consortium.

Data Analysis for Instructional Leaders

Table of Contents