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.
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.
are key differences between data validation indicators used as part of the PBM
data validation system and the performance indicators used in the PBMAS. A PBMAS performance indicator yields a definitive result (e.g., 85% of a
district’s graduates completed the Recommended High School Program). A data validation indicator typically suggests an anomaly that may require a
local review to determine whether the anomalous data are accurate.
District Leadership Team
The district leadership
team is responsible for conducting intervention activities. 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 assigned
a performance level of 1, 2, or 3 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) assigned a
Improvement Plan/Corrective Action Plan for DVM-Discipline Records
The LEA must develop and
implement actions to address findings in a timely fashion and may use the Improvement Plan/ Corrective Action Plan (CAP) specifically designed for DVM-discipline records 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
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
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
If data reporting
concerns are verified, an LEA must revise plans in response to both the
visit and any other required data review activities, which will be reviewed by
the TEA Division of Program Monitoring and Interventions. This type of
intervention will occur in the event the TEA identifies a high risk related to
the accuracy of discipline data.