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 discipline data analysis indicators. Determinations regarding monitoring and interventions are the result of a discipline 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 Discipline 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 discipline monitoring and interventions are required to participate in specific activities to collect and analyze data to determine why the LEA was identified for an indicator; identify campuses that may have contributed to the LEA’s identification under the indicator; determine the frequency and source of any reporting errors; and evaluate the effectiveness of policies, procedures, and data tracking systems.
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 discipline 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 discipline 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
The LEA must develop and implement actions to address findings in a timely fashion and may use the Continuous Improvement Plan/Corrective Action Plan (CIP/CAP) template to document planned activities. Texas Education Code (TEC), Chapter 37, Discipline; Law, and Order, establishes the state statutory requirements for school district discipline programs.
TEC §7.028(b) states, “The board of trustees of a school district or the governing body of an open-enrollment charter school has primary responsibility for ensuring that the district or school complies with all applicable requirements of state educational programs.”
The board of trustees of a school district or the governing body of an open-enrollment charter school must be notified of any findings related to noncompliance with the provisions of TEC Chapter 37 and take actions as appropriate to ensure compliance with these requirements.
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 discipline data.