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PEIMS and Accountability

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Data disaggregated based on All Students, Ethnicity & Economically Disadvantaged ... guidelines, resources (PEIMS Website, Data Standards, SAAH, FAR guide, etc) ... – PowerPoint PPT presentation

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Title: PEIMS and Accountability


1
PEIMS and Accountability
2
Clear System of Data Quality
3
The Process
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
  • 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

9
Accountability Chart
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
15
SSCO Connection
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
  • State Accountability System
  • http//www.tea.state.tx.us/perfreport/account/inde
    x.html
  • Adequate Yearly Progress (AYP)
  • http//www.tea.state.tx.us/ayp
  • Performance Based Monitoring
  • http//www.tea.state.tx.us/pbm

23
Tools and Resources
  • Data Validation Monitoring (DVM)
  • http//www.tea.state.tx.us/pmi/datamon
  • School Safety Choice Option (SSCO)
  • 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.ht
    ml
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