1. LCSA - June 8, 2012

2. Continue the use of data for dialogue and decision-making Support compliance reporting for Comprehensive Needs Assessment and School Improvement planning

3. Major Question Data Representations Major Question Data Representations Dialogue Questions – Observations – Inferences Dialogue Questions – Observations – Inferences

4. Predictions Observations Inferences Adapted from Deb Clancy, Washtenaw ISD, 2008, based upon the work of Nancy Love, “Using Data/Getting Results” (2002)

5. Observations – What percentage of our students were at levels 1 and 2? – At which level of performance do we have the most students? Inferences – What school processes by adults might explain the students’ achievement? – What next steps should be taken to address this achievement? Observations – What percentage of our students were at levels 1 and 2? – At which level of performance do we have the most students? Inferences – What school processes by adults might explain the students’ achievement? – What next steps should be taken to address this achievement?

6. Observations – Which strands were our strengths on the test? – Which strands were our weaknesses on the test? Inferences – What school processes by adults might explain the students’ achievement? – What next steps should be taken to address this achievement? Observations – Which strands were our strengths on the test? – Which strands were our weaknesses on the test? Inferences – What school processes by adults might explain the students’ achievement? – What next steps should be taken to address this achievement?

7. Summary Assessments with scores –pre/post, unit tests, literacy scores Item Bank Assessments with standards –tests created with DataDirector items Answer Sheet Assessments with standards –tests created with items outside of DataDirector

8. Using EXPLORE Scores to Predict Future PLAN Scores Highest Probability High Medium Low Lowest Probability 10-11Expected10-11Expected10-11Expected10-11Expected EXPLOREPLANEXPLOREPLANEXPLOREPLANEXPLOREPLAN LastnameFirstnameEnglish Reading Mathematics Science 1919-231213-161617-201617-20 1213-1611 12-15 1617-201617-20 2020-241919-231718-211718-21 2020-241516-191516-191718-21 1819-231617-201919-231819-23 1516-191415-181718-211617-20 1213-161516-191819-231819-23 8 10-13 10 11-14 10 11-14 1213-16 11 12-15 1213-167 10-13 1516-19 9 10-13 10 11-14 1314-171213-16 1314-171213-161617-201617-20 11 12-15 11 12-15 1415-181415-18 1213-169 10-13 1415-181314-17

10. Student Group # Students Nonsense Word FluencyOral Reading Fluency Phoneme Segmentation Fluency All Students 63 Deficit00.00%At Risk23.17%Deficit00.00% Emerging23.17% Some Risk1015.87%Emerging11.59% Established6196.83% Low Risk5180.95%Established6298.41%

11. Performance Level Scaled Score Domain/ Standard Score Benchmark/ GLCE Score Written Curriculum Alignment Analysis of Performance Task Analysis of Student Learning VALIDITYVALIDITY

12. “X” represents opportunities Fall 2009 Fall 2010 Fall 2011 Statewide Assessment (MEAP) XXX Interim Assessment ( NWEA, DIBELS, DRA, STAR ) XXXXXXXXX Classroom Assessment (Unit tests, common writings with rubrics) XXXXXX XXXXXX XXXXXX XXXXXX XXXXXX XXXXXX XXXXXX XXXXXX XXXXXX

14. Performance Level data with MEAP/MME –“On Track” designation with PLAN or EXPLORE –Threshold designation on interim assessments

15. LastFirst STAR EOY 10-11 Grade Equivalency 3.2 4 3.1 2.7 3.1 3.6 3.9 2.9 0 Fall 2011 MEAP PL 3 2 2 2 2 2 2 1 3 3

16. Scaled Scores data with MEAP/MME –Scale Scores with PLAN or EXPLORE –Scale Scores on Interim Assessments

17. LastFirst Fall 2011 MEAP SS 623 644 648 643 627 632 639 609 623 601 Spring 10-11 Test RIT Score 210 217 216 234 202 204 224 178 206 202

18. Standards data with MEAP/MME –Subarea scores with PLAN or EXPLORE –Goal scores on Interim Assessments –Standards data on local assessments

19. Fall 2011 PreTestSpring 2012 MME MATH A1MATH A2MATH L2 Math A1 Math A2 Math L2 Number of Questions5351158 FirstLast 20%0%20%186038 40%100%80%1006050 60%100%20%824050 0%67%60%454038 20%0% 186038 40%67%0%552063 60%100%20%1006088 0%33%20%452038 20%0%20%828088 40%0% 646050 60%67%40%828050 0%67%20%734063 0%67%60%822038 0%67%20%454050 40%67%80%824075 40%67%20%364038

20. Expectations data with MEAP –Item Analysis scores with EXPLORE –Item Analysis on local assessments

21. Classroom TestMEAP WHG 1.2.1 WHG 2.1.4 WHG 3.1.9 WHG 3.2.3W1.2.1W2.1.4W3.1.9W3.2.3 Q1Q2Q3Q4Q8Q9Q11Q13 Name YNNNYNNN YYYYYNYY YYYYYYYY YYYYYNYN YYYYNYNN NNNYYNYY YYYYYYYY YYYYYNYY YYYYYYYY YYYYYYYN YYYYYNNN NNNNYYYY YNNNYYNY

22. Source: Presentation by Dr. Victoria Bernhardt, April 2007