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Improving the Quality of Data for a better understanding of our students

Improving the Quality of Data for a better understanding of our students. 11 th Annual Title Programs Conference. Data Collections. Improving the Quality of Data. What is data quality?. Why is it important to Title Programs?. What is the impact of bad data on Title Programs?.

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Improving the Quality of Data for a better understanding of our students

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  1. Improving the Quality of Data for a better understanding of our students 11th Annual Title Programs Conference

  2. Data Collections

  3. Improving the Quality of Data What is data quality? Why is it important to Title Programs? What is the impact of bad data on Title Programs? What can you to improve data quality?

  4. What is Data Quality? The level of excellence of data when compared to certain criteria. Criteria may vary among organizations. Common factors or criteria include: • Data Consistency • Data Accuracy • Data Integrity • Business Rules • Completeness • Redundancy • Meaningful to Users • Availability • Metadata Documented • Relevancy

  5. Why Data Quality for Title Programs? • Data quality is important to Title Programs for several reasons: • Impact on funding, program monitoring and evaluation, federal reporting, and individual students and employees • Credibility of the Title Programs • Credibility of the data

  6. What is the Impact of Bad Data?

  7. Student Record • Private school students served in Title I by the school system (grades KK-12) • Number of students in an institution for neglected students • Whether or not the system participated in Title I Family Literacy Services • Number of Title I sponsored extended time instructional programs. • Identification of program type (TAS, SWP, none) • Checks to make sure that students reporting Title I services are at a Title I school. • Title I Public School Choice (applied, offered, enrolled) • Title I services received –by student (Reading/ELA, Math, Science, Social Studies, Counseling/Social Work, Health/Dental, Nutrition, Pupil Transportation, Job Preparation, GED)

  8. Student Record • Residential environment code for N&D and homeless students (neglected, delinquent, homeless, unaccompanied youth) • Primary night shelter for homeless students (shelters, doubled-up, unsheltered, hotels/motels) • Types of Demographic and Other Data on ALL students • Name, Student ID, GTID, Race, Ethnicity, Grade Level, DOB, Retention Status, Date Entered 9th Grade, SST (Tier 3) • School Entry and Exit dates, Days Present, Days Absent • Course information, Credits Earned, Numeric or Alpha Grade • Student Safety/Discipline • Program Participation (Title I, Title III/ESOL, Migrant, Education, Special Education, Gifted Education, Remedial Education, Early Intervention Program, GNETS, Extended Learning Time, Charter Career Academies, Alternative Education, CTAE) • NEW for FY 2014 • Flexible Learning Plan data will be reported in Student Record.

  9. CPI – Certified Personnel Information • Full-time equivalent staff funded by a Title I, Part A TAS in the following categories: • Teachers • Paraprofessionals • Other Paraprofessionals (translators, parental involvement, computer assistance) • Clerical Support Staff • Administrators (non-clerical)

  10. PSC Code Validity Checks in CPI Certificate Type Certificate Field Certificate Level Certification information is checked against cert data from PSC.

  11. Free and Reduced Meal Eligibility • The Free and Reduced Meal data collection is an annual reporting process that collects information on the percentage of students eligible for free and/or reduced meals at a school. Student level data is not submitted in this data collection. The data collected in this cycle is used for many reporting purposes, including (but not limited to) the following: • The National Direct Teacher Loan Cancellation Program • The Telecommunications Act Discount Rate • Standardized Test Score Comparison Groups • Competitive Grant Awards • Title I funding allocations

  12. Federal Reporting • Students participating in Title I programs (by programs, race/ethnicity/grade levels/instructional services) • Student academic achievement for all students and by subgroups • Title I School Accountability and Funding • Full-time equivalent staff funded by a Title I, Part A TAS • Homeless children and youth counts • Migrant child counts

  13. What can you to improve data quality? • Understand the “what” and “why” of data collected. • Ask for reports that show counts of students participating in Title I and other related programs. • Identify potential sources of bad data. • Educate staff and emphasize the importance of accurate free and reduced meal eligibility percentages. • Recognize that it takes “a village” to ensure quality data. The responsibility rests upon all individuals who capture, access, maintain, update or report data.

  14. Questions & Answers Contact Information Wanda Jones Wajones@doe.k12.ga.us 404-657-3539

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