The Division of Program Monitoring and Interventions implements the Data Validation Monitoring (DVM) System to monitor the accuracy of data submitted by school districts through the Public Education Information and Management System (PEIMS) and used in the state's accountability rating and performance-based monitoring (PBM) systems.
The PBM system relies on the evaluation of student performance and program effectiveness data at the state level. Data validation responsibilities within the division include review and follow-up with districts or campuses that have been identified for potential data inaccuracies, data anomalies, or data irregularities.
The DVM system reflects the use of graduated interventions based on LEA performance as evidenced by the PBM indicators. Determinations regarding monitoring and interventions are the result of a leaver data validation analysis implemented by the agency’s PBMAS.
Results on each data validation indicator, patterns across indicators, longitudinal performance patterns, and existing staging determinations across PBM program areas, are examined to determine appropriate levels of required intervention. Indicators that can trigger a review or investigation based on potential data anomalies are listed in the Leaver Records Data Validation Manual.
Core Analysis Team
The Core Analysis Team is responsible for conducting intervention activities (required participants are listed in the Core Analysis Team Participants template). LEAs identified for DVM student leaver monitoring and interventions are required to participate in specific activities to collect and analyze data to determine why the LEA was identified for that indicator; determine the frequency and source of any reporting errors; identify trends and patterns related to the coding of student leavers; and evaluate the effectiveness of data tracking systems, policies, and procedures. Intervention Guidance and Resources are available to assist LEAs in conducting the required activities.
Focused Data Analysis
LEAs are required to conduct a data analysis of certain leaver/dropout data validation indicators triggered as a result of the initial data review. The purpose of the Focused Data Analysis (FDA) with Student-Level Data Review (SDLR) (as applicable) is to work with stakeholders to gather, disaggregate, and review data to determine possible causes for anomalous data. Additionally, LEAs are required to complete a student-by-student review as applicable to the indicator(s) triggering the review.
Continuous Improvement Plan / Corrective Action Plan
If noncompliances with data reporting or documentation requirements are identified, activities to address those findings must be included in the Continuous Improvement Plan/Corrective Action Plan (CIP/CAP). If the LEA determines that accurate data have been submitted and that systems have been implemented in compliance with state requirements, the LEA is not required to engage in improvement planning activities or develop a CIP/CAP.
Additionally, a targeted on-site review by the TEA may be conducted or other interventions or sanctions ordered to address data accuracy concerns related to documented substantial, ongoing, or imminent risks as reflected in LEA data and/or response to interventions within the PBM system. The activities in this level of intervention may or may not be combined with other monitoring activities. If data reporting concerns are verified, an LEA must develop a CIP/CAP in response to both the visit and any other required data review activities, and the TEA Division of Program Monitoring and Interventions will review the CIP/CAP. This type of intervention will occur in the event the TEA identifies a high risk related to the accuracy of leaver data.