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IMPROVING THE QUALITY OF DATA FOR A BETTER UNDERSTANDING OF OUR STUDENTS 11 th Annual Title Programs Conference

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

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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?. - PowerPoint PPT Presentation

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Page 1: Improving the Quality of Data for a better understanding of our students

IMPROVING THE QUALITY OF DATA

FOR A BETTER UNDERSTANDING OF

OUR STUDENTS

11th Annual Title Programs Conference

Page 2: Improving the Quality of Data for a better understanding of our students

Data Collections Levette Williams

Director of Technology Management (Data Collections & Reporting, Customer Support)

[email protected]

Wanda Jones Data Collections Manager 404-657-3539

[email protected]

Betty Rickicki Data Collections Specialist (Student Record, CPI)

404-656-6011

[email protected]

Kathy Aspy GTID Administrator 404-651-5312

[email protected]

Carl Garber Data Collections Specialist (FTE, FTE Data Survey, Free and Reduced Meal, Student Record)

404-463-2326

[email protected]

Sharon Armour

Data Collections Specialist(Class Size, Pre-ID, Student Course Profile, Private School Data Collection)

404-657-1064

[email protected]

Page 3: Improving the Quality of Data for a better understanding of our students

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?

Page 4: Improving the Quality of Data for a better understanding of our students

4

What is Data Quality?

►Data Consistency►Data Accuracy►Data Integrity►Business Rules►Completeness

►Redundancy►Meaningful to Users►Availability►Metadata Documented►Relevancy

The level of excellence of data when compared to certain criteria. Criteria may vary among organizations.Common factors or criteria include:

Page 5: Improving the Quality of Data for a better understanding of our students

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

Page 6: Improving the Quality of Data for a better understanding of our students

What is the Impact of Bad Data?

Page 7: Improving the Quality of Data for a better understanding of our students

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)

Page 8: Improving the Quality of Data for a better understanding of our students

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 2014Flexible Learning Plan data

will be reported in Student Record.

Page 9: Improving the Quality of Data for a better understanding of our students

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)

Page 10: Improving the Quality of Data for a better understanding of our students

PSC Code Validity Checks in CPI

8/22/2010 6:05:45 PM 10

Certification information is checked against cert data from PSC.

Certificate Level

Certificate Type

Certificate Field

Page 11: Improving the Quality of Data for a better understanding of our students

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

Page 12: Improving the Quality of Data for a better understanding of our students

Federal ReportingStudents 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

Page 13: Improving the Quality of Data for a better understanding of our students

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.

What can you to improve data quality?

Page 14: Improving the Quality of Data for a better understanding of our students

QUESTIONS & ANSWERSContact InformationWanda Jones [email protected] 404-657-3539