**Maximizing NeSA Data: Analysis Techniques & Effective Implementation**

1. RESPONDING TO NeSA DATA NAESP/NSASSP STATE CONFERENCE 2011 Valorie Foy Crete Public Schools Cindy Gray Elkhorn Public Schools ShureenSeery Louisville Public Schools

2. OVERVIEW • NeSA Score Basics • Analyzing NeSA Results • Using Information to Improve

3. NeSA BASICS

4. INFORMED USE OF DATA • Multiple Measures/Indicators • Thoughtful Professional Discussion • Monitoring over Time

5. Basic Test Scores • Raw Score Number Correct (Note that raw scores on NeSA won’t convert to the same scale score from year to year) • Percent Correct e.g., 80% on a final exam (Not used for NeSA)

6. PERCENTILE RANKS FOR NeSA • (%ile) Percent of students in the peer group who performed lower than the student or group • Available on Individual Student Reports and the Student Data File from DRC • %ile Scores should not be averaged

8. Converting Raw Scores to Scale Scores • A raw score is converted to a scale score by a statistical process called equating. • Equating adjusts for slight differences in difficulty between test editions, and ensures that an 11th grader’s score of, say, 90 on one edition of the NeSA-M reflects the same achievement as a score on 90 for 11th graders the next year • Equating also ensures that a student's score does not depend on how well others did on the same edition of the test.

9. Choosing Scores to Report • Scale Score • Influenced by outlier scores • % Mastering • Lets you know % above cut, but students are weighted equally whether they have a perfect score or whether they barely mastered

11. Monitoring Individual Student Performance

12. ARE THEY READING ON GRADE LEVEL?

13. Things to Clarify • Percent Correct • Typically refers to the percent of items that a student answered correctly - Not comparable across assessments • Percent at Mastery • Usually refers to the percent of students who met the mastery level performance on a criterion-referenced assessment. • Percentile Rank • Usually used with norm-referenced assessments - This score indicates relative performance in comparison with a norm group. For example a score of 69%ile indicates that the student scored better than 69% of the students in the norm group. - These scores cannot be used for calculations.

14. ANALYZING NeSA RESULTS

15. NeSA READING

16. [Crete] NeSA READING COHORT DATA

20. IMPROVING

21. TEACHERS—BEFORE TESTING Practice Test: Available with the CAL software download.

22. TEACHERS—BEFORE TESTING • Prediction of Performance • Teachers predict before testing to identify any surprises.

23. USE PERFORMANCE LEVEL DESCRIPTORS AVAILABLE AT DRC’s REPORTS PAGE

24. Standards Instructional Toolshttp://www.education.ne.gov/AcademicStandards/SIT_Intro.html VOCABULARY IDENTIFIERS

25. DEPTH of KNOWLEDGE CHARTS FOUND ON NDE WEBSITE UNDER NeSA

26. AFTER TESTING LOOK FOR PATTERNS Indicator Summary Report

27. DRS: DATA REPORTING SYSTEM Advance Inquiry Click on the table to see data in a bar graph. Right Click on Graph to drill down in the data. http://drs.education.ne.gov/Pages/default.aspx

29. QUESTIONS?