1. 2012 Data Coach Training Day 3 Dr. Yuwadee Wongbundhit Curriculum and Instruction

2. Recap Monitoring Tool for FCAT 2.0 Content Assessed Benchmarks PurposeFeatures FCAT 2.0/EOC Scores 2011 Equivalent Scores Proposed New FCAT 2.0 Scores New FCAT Achievement Level Policy Definition Data Report Disaggregated Data Year-at-a- Glance Data Analysis Scheme

3. Recap (Continued) Data Analysis Dig Deeper into Data Tips for Data Analysis Protocol and Essential Questions Data Sources Acct. Reports SPI and Edusoft Report Builder files Acct.-SPI Templates Excel Move/Copy Sheet Freeze, hide, borders, filter, Print Page Layout Pivot Table and Vlookup Function

4. Data Coach Day 3 Topics Predictive Scores of Fall IA Fall IA School Performance Reports Data Analysis and Science Fair Game Benchmarks Update Data Base

5. Predictive Performance Levels of Interim Assessments Satisfactory Progress: Predictive values within FCAT 2.0 Levels 3-5 Limited Progress (Not sure) Insufficient Progress: Predictive values within FCAT 2.0 Levels 1-2

6. Performance Level of Interim Assessments Default Proficient Levels (70% or higher) Proficient and Non- proficient: Overall Reporting Category Baseline Assessments First time implementation of new assessments, such as 2010-11 Reading Fall IA and Reading Winter IA. Predictive Performance Levels Performance band for total score: Satisfactory Progress Limited Progress Insufficient Progress No predictive value available for report category Second Year or more of new assessments, such as Reading 2011-12 Fall IA and Winter IA.

7. Performance Level Definition

8. 2011-12 Math Fall IA Predictive Performance Levels Grade Total Points Insufficient Progress Limited Progress Satisfactory Progress %Insufficient Progress % Limited Progress % Satisfactory Progress Raw Score% Scores 3300 - 1415 - 1718 - 300 to 47%50% - 57%60% or higher 4340 - 1516 - 1819 - 340 to 44%47% - 53%56% or higher 5340 - 1819 - 2021 - 340 to 53%56% - 59%62% or higher 6370 - 1516 - 1819 - 370 to 41%43% - 49%51% or higher 7390 - 1516 - 1819 - 390 to 38%41% - 46%49% or higher 8400 - 1718 - 2021 - 400 to 43%45% - 50%53% or higher ALG340 - 1112 - 1415 - 340 to 32%35% - 41%44% or higher

9. 2011-12 Reading Fall IA Predictive Performance Levels Grade Total Points Insufficient Progress Limited Progress Satisfactory Progress %Insufficient Progress % Limited Progress % Satisfactory Progress Raw Score% Scores 3560 - 2728 - 3132 - 560 to 48%50% - 55%57% or higher 4560 - 3031 - 3435 - 560 to 54%55% - 61%63% or higher 5560 - 3132 - 3536 - 560 to 55%57% - 63%64% or higher 6540 - 2930 - 3334 - 540 to 54%56% - 61%63% or higher 7560 - 2728 - 3233 - 560 to 48%50% - 57%59% or higher 8610 - 3132 - 3637 - 610 to 51%52% - 59%61% or higher 9570 - 2930 - 3435 - 570 to 51%53% - 60%61% or higher 10530 - 2425 - 2930 - 530 to 45%47% - 55%57% or higher

10. Where can you find the cut scores in Edusoft? Click on Benchmark Click on Assessments Select Assessment Click on View Details Under Performance Bands, click on View Details

11. School Performance Reports as of 11-25-2011

12. Analyzing Student Progress Baseline Aug. 2011 Fall IA Oct. 2011 Jan. 2012 2012 FCAT2.0 EOC Apr./ May 2012 Winter IA PG Q1 PG Q2 All

13. Data Analysis Scheme (G3-8) Grade 3/6 BL, FIA, WIA, FCAT 2010-11 Grade 4/7 BL, FIA, WIA, FCAT Grade 5/8 BL, FIA, WIA, FCAT Grade 3/6 BL, FIA, WIA, FCAT 2011-12 Grade 4/7 BL, FIA, WIA, FCAT Grade 5/8 BL, FIA, WIA, FCAT Grade 3/6 BL, FIA, WIA, FCAT 2012-13 Grade 4/7 BL, FIA, WIA, FCAT Grade 5/8 BL, FIA, WIA, FCAT

14. Data Analysis Scheme, High School in Reading Grade 9 BL, FIA, WIA, FCAT 2010-11 Grade 10 BL, FIA, WIA, FCAT Retaker BL, FIA, WIA, FCAT Grade 9 BL, FIA, WIA, FCAT 2011-12 Grade 10 BL, FIA, WIA, FCAT Retaker BL, FIA, WIA, FCAT Grade 9 BL, FIA, WIA, FCAT 2012-13 Grade 10 BL, FIA, WIA, FCAT Retaker BL, FIA, WIA, FCAT

15. Data Analysis Scheme, High School - EOC Algebra I BL, FIA, WIA, EOC 2010-11 Algebra I BL, FIA, WIA, EOC 2011-12 Geometry BL, FIA, WIA, EOC Biology BL, FIA, WIA, EOC Algebra I BL, FIA, WIA, EOC 2012-13 Geometry BL, FIA, WIA, EOC Biology BL, FIA, WIA, EOC

16. Year-at-a Glance Report Note

17. Year-at-a Glance Summary Report (E)

18. Year-at-a Glance Detailed Report (E)

19. Year-at-a Glance Summary Report (M)

20. Year-at-a Glance Detailed Report (M)

21. Year-at-a Glance Summary Report (H)

22. Year-at-a Glance Detailed Report (H)

23. Benchmark Analysis (E)

24. Benchmark Analysis (M)

25. Benchmark Analysis (HS)

26. Science Fair Game Benchmarks Principals’ Liaison Committee Meeting Dr. Yuwadee Wongbundhit Curriculum and Instruction 11/28/2011 and 11/30/2011

27. Science Fair Game Principle “The Fair Game Principle” refers to the science concepts that students have been taught in previous years. Science fair game items are items that require the student to apply knowledge described in NGSSS benchmarks from lower grades. On the FCAT 2.0, some of these fair game benchmarks are assessed as AA and some are “Assessed as”

28. Benchmark Classification System Each benchmark in the NGSSS is labeled with a system of numbers and letters.

29. Science Fair Game Benchmark, Grade 5

30. Monitoring Tool

31. Science Fair Game Benchmark, Grade 8

32. Monitoring Tool

33. Science Fair Game Benchmarks, Gr. 5 There are 25 AA Benchmarks. Gr. 3 1 BenchmarkSC.3.L.14.1 Gr. 4 6 BenchmarksSC.4.E.5.4SC.4.E.6.2SC.4.E.6.3SC.4.E.6.4SC.4.L.16.4SC.4.L.17.3 Gr. 5 18 Benchmarks (72%)

34. Science Fair Game Benchmarks, Grade 8 There are 32 AA Benchmarks. Gr. 6 10 Benchmarks 31% Gr. 7 13 Benchmarks 41% Gr. 8 9 Benchmarks28%

35. Grade 8 Fair Game AA Benchmarks  Grade 6 (10 out of 32, 31%):  SC.6.N.2.2SC.6.P.13.1SC.6.P.13.3  SC.6.E.7.4SC.6.E.7.5SC.6.L.14.1  SC.6.L.14.2SC.6.L.14.4SC.6.L.14.5  SC.6.L.15.1  Grade 7 (13 out of 32, 41%):  SC.7.N.1.2 SC.7.N.1.5 SC.7.N.3.1  SC.7.E.6.2 SC.7.E.6.4 SC.7.E.6.5  SC.7.P.10.1 SC.7. P.10.3 SC.7. P.11.2  SC.7.P.11.4 SC.7.L.15.2 SC.7.L.16.1  SC.7.L.17.2

36. Science Data Interpretation Do not compare the 2011 results to the 2010 results. The average % correct can be compared from the baseline to the Fall IA and to the Winter IA. For 2011 only, the % proficient (70% of higher) can be compared from the baseline to the Fall IA and to the Winter IA

37. 2011-2012 Fall Interim Assessment by Subgroup

45. Student Master File “Student ID” is used as a lookup value to merge the data from different files using Excel formula “V-Lookup” Master File Account ability SPI Baseline and Interim Assessment File Download Manager =VLOOKUP(LOOKUP_VALUE, TABLE_ARRAY, COLUMN INDEX NUMBER, FALSE) Student ID

46. Acct. FilesReadingMathSPI Files SPI data files Edusoft Files BaselineFall IA Winter IA Data Base Files ReadingMathTemplatesReadingMath 2011-2012 School Database File Structure

47. VLOOKUP FUNCTION =VLOOKUP(LOOKUP_VALUE, TABLE_ARRAY, COLUMN INDEX NUMBER, FALSE) Lookup_Value: What value are you searching for? Excel will look for a match to this value in the leftmost column of the lookup table Table_Array: Where do you want to search? Use absolute references to “lock” the range by pressing F4 key Col_index_num Which column contains the search result? Count over from the first column to figure out what this number should be, starting with 1. FALSE To force Excel to lookup value be exact match =VLOOKUP($A3,‘IA File Name'!$B$13:$R$739,3,FALSE)

48. Practice Test Day 3 48 123 Student ID FIA R-%CorrFIA R-RawSC Student IDFIA R-RawSC FIA R-%Corr 4 18713% 5 12916% 1 61221% 7 11730% 15 22036% 9 32239% 10 42443% 20 52545% 12 72545% 3 82646% 92748% 102850% 112952% 133054% 143359% 163461% 173766% =VLOOKUP(LOOKUP_VALUE, TABLE_ARRAY, COLUMN INDEX NUMBER, FALSE) Go to Data Coach Website and down load “Practice Vlookup Day 3” Go to Data Coach Website and down load “Practice Vlookup Day 3”

49. Merging File Structure AJ3 = VLOOKUP($A3,‘IA File Name'!$B$13:$R$739,3,FALSE) Interim Assessment Data A 1B1B 2C2C 3D3D 4E4E 5F5F 17 R Student Name Student ID Grade Raw Score % Correct Performance Data Base A AG or AI Student ID Student Name Accountability Report Data FCAT Reporting Category Scores Database with Interim Assessment Data A AIAJ (3)AK (4)AM (5) Student ID Student Name Raw Score % Correct Performance AK3 = VLOOKUP($A3,‘IA File Name'!$B$13:$R$739,4,FALSE) AM3 = VLOOKUP($A3,‘IA File Name'!$B$13:$R$739,5,FALSE)

50. Column Label with 4 Reporting Categories 50 Label Column Headers Report Builder Files (Baseline ) BL-RawSc BL-%Corr BL-Perf BL-CT1RawSc BL-CT1%Corr BL-CT1Perf BL-CT2RawSc BL-CT2%Corr BL-CT2Perf BL-CT3RawSc BL-CT3%Corr BL-CT3Perf BL-CT4RawSc BL-CT4%Corr BL-CT4Perf 34567891011121314151617 Label Column Headers Report Builder Files (Fall IA) FL-RawSc FL-%Corr FL-Perf FL-CT1RawSc FL-CT1%Corr FL-CT1Perf FL-CT2RawSc FL-CT2%Corr FL-CT2Perf FL-CT3RawSc FL-CT3%Corr FL-CT3Perf FL-CT4RawSc FL-CT4%Corr FL-CT4Perf 181920212223242526272829303132

51. Download File Download Manager

52. Format File Download Manager Step 1. Rename the sheet tab, sample “All Courses”. Next, Filter and Freeze Panes Step 2. Fill in leading zero on “Course Subject Code” Field (column F). Highlight Column F On the Home menu, find Format. Next select “Format Cells” Under Number Tab, select Custom Under Type: type 0000000 (seven zeros) Click OK Step 3. Sort “Course Subject Code” by clicking on filter arrow and select from smallest to largest Fill leading 2 zeros for Column I (Class Section) Step 4. Convert Student ID from Number value to Text value Highlight Column B On the Home menu, select Insert Sheet Column. Now, Column B is blank. Type “Student ID” on Cell B1 to be a new column header On B2, type formula as follow: =text(A2,”0000000”) File down from Cell B2 to the last row. Highlight Column B and select copy. Next Select Paste “Value” Delete Column A (old Student ID)

53. EOC Subject Areas Algebra 1 1200310 - Algebra 1 1200320 - Algebra 1 Hon. 1200380 - Algebra 1B 1209810 - Pre-AICE Mathematics 1 1200390 - IB Middle Years Program – Algebra 1 Hon. Geometry 1206310 - Geometry 1206320 - Geometry Hon. 1206810 - IB Middle Years Program Geometry Hon. 1209820 - Pre-AICE Mathematics 2 Biology 2000310 - Biology 1 2000320 - Biology 1 Hon. 2000322 - Pre-AICE Biology 2000430 - Biology Technology 2000800 - Biology 1 PreIB 2000850 - IB Middle Years Program Biology Hon. 2002440 - Integrated Science 3 2002450 - Integrated Science 3 Hon.