Data Validation Monitoring
The Program Monitoring and Interventions (PMI) Division implements the data validation monitoring (DVM) system for the student assessment, discipline, and student leavers program areas to monitor data accuracy. Data is submitted by school districts through the Public Education Information and Management System (PEIMS) and is used in the state's accountability ratings and performance-based monitoring (PBM) systems. The PMI division reviews and monitors local education agencies (LEAs) identified for potential data inaccuracies, data anomalies, or data irregularities.
Similar to PBM, DVM uses indicators to determine staging and interventions. However, there are key differences between DVM indicators and the Results Driven Accountability (RDA) indicators. RDA performance indicators yield a definitive result; for example: 85 percent of a district's graduates completed the Recommended High School Program. Data validation indicators suggest an anomaly that may require a local review to determine whether the anomalous data are accurate.
District Leadership Teams
The district leadership team is responsible for conducting DVM activities. LEAs identified for data validation monitoring and interventions must participate in data collection and data analysis activities that:
- determine why 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
- evaluate the effectiveness of policies, procedures, and data tracking systems
Intervention activities are determined by several factors, including:
- results on each data validation indicator
- patterns across indicators
- longitudinal performance patterns
DVM manuals (Coming Soon) list the indicators that trigger a review or investigation based on potential data anomalies.
Focused Data Analysis and Student Level Data Reviews
LEAs identified for review must conduct a data analysis of triggered data validation indicators. The focus data analysis (FDA), which is only required for certain indicators, allows LEAs to gather, disaggregate, and review data to determine possible causes for anomalous data. Additionally, LEAs must complete a student level data review (SLDR) applicable to the indicators that were triggered. The SLDRs are listed below:
- Student Assessment FDAs and SLDRs - Coming Soon
- Student Discipline FDAs and SLDRs - Coming Soon
- Student Leaver FDAs and SDLRs - Coming Soon
Data Validation Monitoring Corrective Action Plan
If the LEA determines noncompliance with data reporting or documentation requirements, activities to address those findings must be included in the Data Validation Monitoring Corrective Action Plan (DVM-CAP). If the LEA determines through the review that accurate data were 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 DVM-CAP during the initial submission. However, based on the TEA review and validation process, the LEA may be required to complete a DVM-CAP at a later date. Select the link below to assist with DVM:
- Student Assessment DVM-CAP - Coming Soon
- Student Discipline DVM-CAP - Coming Soon
- Student Leavers DVM-CAP - Coming Soon
NOTE: Resources and documents the district leadership team needs complete required DVM activities are found in the Intervention and Staging Activity Manager (ISAM) application. ISAM is also where district leadership teams submit required intervention documents. Here are some additional resources:
A targeted on-site review may be conducted, or other interventions or sanctions ordered, to address data accuracy concerns related to documented substantial, ongoing, or imminent risks. The activities in this level of intervention will be combined with other monitoring activities. If data reporting concerns are found during the on-site review, an LEA must develop a DVM-CAP in response to both the visit and any other required DVM intervention activities.