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PEIMS and Accountability. Clear System of Data Quality Documentation (Enrollment, Special Program, etc.) PEIMS Data Entry Pearson Data File Answer Documents.

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Presentation on theme: "PEIMS and Accountability. Clear System of Data Quality Documentation (Enrollment, Special Program, etc.) PEIMS Data Entry Pearson Data File Answer Documents."— Presentation transcript:

1 PEIMS and Accountability

2 Clear System of Data Quality Documentation (Enrollment, Special Program, etc.) PEIMS Data Entry Pearson Data File Answer Documents Accountability Reporting

3 The Process… Test Administration & Submission of Answer Documents Pearson ScoringTEA Reporting Answer Documents Pre-Code LabelsCorrected Pre-Code Labels PEIMS & Data Files Option 1Option 2

4 Accountability Systems and Indicators AEIS – State Accountability Adequate Yearly Progress (AYP) Performance Based Monitoring (PBM) Data Validation Monitoring (DVM) School Safety Choice Option (SSCO) And more…

5 PEIMS & Accountability … Where? — Subgroup Data — Special Program Data — Enrollment — Attendance — Completion Rate (grades 9-12) — Annual and Cohort Dropout Rates — Student and Class Information — Staff Information — Data Quality — Financial Data — More…

6 State Accountability — Ratings based on: TAKS %’s Completion Rate I and II (9-12) Annual Dropout Rate (7-8) Value Added: Gold Performance Acknowledgments — Data disaggregated based on All Students, Ethnicity & Economically Disadvantaged

7 AYP — Ratings based on Met performance standard on State Assessments Met participation rate for State Assessments Graduation Rate (schools offering grade 12) Attendance Rate (for elementary schools) — Data disaggregated based on All Students, Ethnicity, Economically Disadvantaged, Special Education & Limited English Proficient students.

8 PBM Connection PBM - 4 Program Areas — Bilingual Education: 9 Indicators — Career & Technical (CTE): 10 Indicators — NCLB Title Programs: 8 Indicators — Special Education: 18 Indicators

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10 DVM Connection DATA INTEGRITY INDICATORS — Leavers Are leavers coded in accordance with Appendix D of Data Standards? — Discipline Are discipline infractions coded based on PEIMS Data Standards and Chapter 37 requirements? — Student Assessment Inconsistencies How does your attendance accounting and PEIMS coding match up to the absences and # of test takers – “A”? How does your PEIMS coding of CTE and LEP students match up to the test answer documents?

11 DVM Connection Leaver

12 DVM Connection Discipline DVM

13 DVM Connections Student Assessment

14 SSCO Connection

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16 The Connections Data Elements collected through the PEIMS are used throughout Accountability systems to monitor and evaluate districts Timelines – Accountability reporting is “after the fact.” PEIMS reporting errors cannot be changed. – Some indicators are based on prior year(s). May be impacted for 2 Accountability cycles before errors are identified and corrected. Know the PEIMS Due Dates

17 The Connections Consequences of PID errors: – Longitudinal Studies are difficult to analyze with the existence of PID errors. – Impact on Graduation Rates, Completion Rates – Underreported/Over reported Leavers – Duplicate Students

18 Data accuracy is CRITICAL: – Many financial, accountability, and other decisions are made based on data, so data must be ACCURATE – Since the various evaluation systems are shifting to reliance on data rather than on-site visits, the data that feeds into the system must be RELIABLE

19 PEIMS Data Quality Key Factors to Improving Data Quality: – Knowledge and Training Know the PEIMS requirements, guidelines, resources (PEIMS Website, Data Standards, SAAH, FAR guide, etc) Know the PBM Indicators (PBM Website, PBMAS Manual, Data Validation Manuals, AYP Manual, Accountability Manual, etc) – Planning Written Procedures, Timelines, Policies, Job Descriptions, Responsibilities – Data Verification School Management System Reports, EDIT+ Reports

20 PEIMS Data Quality Key Factors to Improving Data Quality: Training – Qualified Personnel – Who is responsible for training – Who attends training and how often Train the trainer – Making commitment to training Written Procedures – Information Flows Identify Source Documents – Timelines – Checklists – Levels of Verification Designated Personnel Job Descriptions – Define final approval process – Document Retention

21 PEIMS Data Quality Responsibilities: – Who owns the data? – Who enters the data? – Who verifies the data and at what point? Establish periodic reviews of data Data entry – responsible for entering data only Special program directors responsible for content Principals responsible for reasonableness and accuracy PEIMS coordinators responsible for submitting data – check for reasonableness Superintendent final responsibility

22 Tools and Resources Academic Excellence Indicator System (AEIS) – http://www.tea.state.tx.us/perfreport/aeis http://www.tea.state.tx.us/perfreport/aeis State Accountability System – http://www.tea.state.tx.us/perfreport/account/in dex.html http://www.tea.state.tx.us/perfreport/account/in dex.html Adequate Yearly Progress (AYP) – http://www.tea.state.tx.us/ayp http://www.tea.state.tx.us/ayp Performance Based Monitoring – http://www.tea.state.tx.us/pbm http://www.tea.state.tx.us/pbm

23 Tools and Resources Data Validation Monitoring (DVM) – http://www.tea.state.tx.us/pmi/datamon http://www.tea.state.tx.us/pmi/datamon School Safety Choice Option (SSCO) – http://ww.tea.state.tx.us/nclb/ssco.html http://ww.tea.state.tx.us/nclb/ssco.html PEIMS Resources – Data Standards – EDIT+ Reports and Tables Reference – Login to EDIT+ to view Data – http://www.tea.state.tx.us/peims/editplus /index.html http://www.tea.state.tx.us/peims/editplus /index.html


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