2. AARRGGHH!! Data Analysis! Just Do It For Me & Tell Me What It Says! Laura Boudreaux Pitre Merry Jane Bourgeois WORKING DRAFT 5/24/06

3. Why is Data Analysis Important? Successful changes cannot occur until you know what you are changing!

4. How to Build Unsuccessful Schools Large Grade Segregated High Mobility Large Classes Low % of Highly Qualified Teachers High Poverty High Minority POOR LEADERSHIP

5. How to Build Unsuccessful Schools Large Grade Segregated High Mobility Large Classes Low % of Highly Qualified Teachers High Poverty High Minority POOR LEADERSHIP FAILED SCHOOL

6. Your School’s Data What You Need to Know & How to Find the Answers

7. Statistics You Should Know About Your School  Enrollment Trends  Class Sizes  Dropout Rates  Retention Rates  Attendance Rates  Suspension Rates  Expulsion Rates  LEAP/GEE Test Scores  The Iowa Tests Scores  School Accountability Status

8. Enrollment Trends  Is your school getting larger? Smaller?  Are there trends by grade? Do you have a large class coming through? Resources may have to be reallocated accordingly.  These issues affect:  Class Sizes  Number of Teachers  School Resources ($$$ and Space)

9. Class Sizes  Smaller class sizes are effective in improving student achievement because teachers can spend more quality time with individual students.  Did you know that larger class sizes are associated with more discipline problems in a school?

10. Dropout Rates  What grade has the highest dropout rate at your school?  At the State level, it’s grade 12!  Followed by grades 9, 10, & 11, respectively  How does your dropout rate compare to other schools? The District? The State?  Who are your dropouts?  At the State level, black males drop out the most, followed by black females, white males, & white females.  Students with Disabilities dropout rates are increasing at a higher rate than any other student group.

11. Retention Rates  What grade has the highest retention rates?  At the State level,  4 th  9 th  8 th  1 st  10 th  Kindergarten  What are the reasons?

12. Attendance Rates  The State’s attendance rate is 93.7%.  This means that on any given day, 6.2% or approx. 45,000 students, are absent.  What does your attendance rate indicate about your school?  Class sizes average around 25 students per class? Does your school have a whole class of students absent on any given day?

13. Suspension & Expulsion  Did you know that there are strong correlations between academic achievement in a SCHOOL and discipline rates?  Higher suspension/expulsion rates tend to go hand-in-hand with lower student achievement, school-wide!  How do your suspension/expulsion rates compare to other schools?

14. Test Scores  What percent of your students are passing the LEAP?  How has this changed over the past five years?  How do your students compare nationally on The Iowa Tests?  How does your school compare to other schools? Districts? The State?

15. School Accountability Status  How did your school perform?  How does your school compare to other schools in your district?  How does your school compare to similar schools?  How can you calculate your own School Performance Score before it is released?

16. Accessing the Data You Need

17. The Louisiana Department of Education Website A Wealth of Information www.louisianaschools.net

18. WWW.LOUISIANASCHOOLS.NET

19. Data & Reports Webpage

22. State Education Progress Reports Available on LDE website 1997-1998 through 2004-2005

25. District Composite Reports (DCR) Available on LDE website from 1996-1997 through 2004-2005 One report per district that contains up to 6 years of data

29. Accountability School Report Card

38. Similar Schools Link www.schoolmatters.com

42. Annual Financial and Statistical Report (AFSR) Available on LDE website from 1979-1980 through 2003-2004 2004-2005 will be available in August

46. LEA and School-Level: Public Student Counts and Percentages (AKA: the Multiple Statistics File) Available on the LDE website for school and district levels from 1999-2000 through 2005-2006 Includes several files related to Hurricanes Katrina and Rita for the 2005-2006 school year.

50. List Data Elements on Multiple Statistic File  Total Student Enrollment  Students by Gender  Students by Race/Ethnicity by Gender  At-Risk Students by Race and Gender  Special Education Students (Disabled & Gifted/Talented)  English Proficiency  Grade Placement  At-Risk by Grade Placement

51. Showing Off Your Data

52. Displays That Make an Impact  When it comes to data, most people are visual learners.  The way you display your data will determine whether your audience gets your message or not.  Choosing the simplest method of display is key to communicating data results.

53. Bar Charts

57. Longitudinal Line Graphs

59. LOUISIANA NAEP SCALE SCORES BY RACE GRADE 8 MATH http://nces.ed.gov/nationsreportcard/states/profile.asp?state=LA

60. Lunch Status for All Students

62. Lunch Status for Black and White Students Black StudentsWhite Students

63. Creative Ways To Display Data

64. How many days during a calendar year are spent on instruction?

65. The Full Year Calendar

66. Less Summer Vacation

67. Less Weekends, Holidays, & Summer Vacation

68. Less Professional Development Days & Early Dismissal/Parent Conferences

69. Less Class Picnic, Class Trip, Thanksgiving Feast, Christmas, Kwanzaa, Hannukkah, Awards, Assembles, & Concerts

70. Less State and District Testing

71. Bottom Line: Roughly 13-15 8-hr Days of Instruction Per Subject Per Year

72. Summary  If You:  Know Your Data Sources and Resources  Are Analyzing Your Data  Are Making Data-Driven Decisions  Then You:  Can Enhance Instruction Through Informed Decisions  Can Improve the Outcomes for Students!

73. How to Build Successful Schools Medium Sized Small Classes Dropout Prevention Focus on Achievement For ALL Students Highly Qualified Teachers Good Attendance Data-Driven Decision-Making GREAT LEADERSHIP

74. How to Build Successful Schools Medium Sized Small Classes Dropout Prevention Focus on Achievement For ALL Students Highly Qualified Teachers Good Attendance Data-Driven Decision-Making GREAT LEADERSHIP Improved Outcomes For Students