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PIMS Pennsylvania Information Management System. PDE’s Primary Goals for PIMS History and Evolution of PIMS Impact of Bad Data Data Quality Network Initiative Moving Forward. AGENDA. Meet PDE and Federal reporting regulations

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agenda

PDE’s Primary Goals for PIMS

  • History and Evolution of PIMS
  • Impact of Bad Data
  • Data Quality Network Initiative
  • Moving Forward
AGENDA

Central Intermediate Unit 10 - SAC Meeting 9/11/13

purpose of pims

Meet PDE and Federal reporting regulations

  • Provide longitudinal tracking of education progress over time and across LEAs
  • Report timely and accurate education data through standardized reporting capabilities
  • Establish enterprise-wide systems and processes to streamline data management and utilization
  • Improve education decision-making through the use of high quality data
  • Provide multi-year longitudinal data to help teachers and administrators address individual student needs
  • Empower teachers with state-of-the-art data analysis tools to improve individual student achievement
Purpose of PIMS

Central Intermediate Unit 10 - SAC Meeting 9/11/13

history of pims

PIMS Collection Calendar 2007-08

4 “Collections” – 15 Templates

History of PIMS

Central Intermediate Unit 10 - SAC Meeting 9/11/13

evolution of pims fast forward to 2013 14

20 “Collections”

  • 30 “Templates”
  • 4x per year “project” to a year-round, constantly evolving task
  • Multiple Collections Open at a Time/Different Purposes
  • 2013-14 Collection Calendar
  • PIMS Manual Vol. 1 & 2 (2007-08 Vol. 1, 160 pgs.; Vol. 2, 94 pgs.)
  • 2013-14 – any guesses??
Evolution of PIMS – Fast Forward to 2013-14

Central Intermediate Unit 10 - SAC Meeting 9/11/13

collections impacted by student data

Cohort Graduation Rate and Dropout Rate

  • Pre-code for PSSA, Keystone Exams, CDT Uploads
  • Accountability Reporting – PSSA, Keystone Exams, CDT Uploads, PVAAS Uploads
  • English Language Learners – ACCESS for ELLs
  • Safe Schools Reporting
  • Special Education Reporting
  • Career and Technical Education (CTE) Reporting
  • October 1 Enrollment Data Reporting
  • Child Accounting Subsidies
Collections Impacted by Student Data

Central Intermediate Unit 10 - SAC Meeting 9/11/13

potential impact of bad data

October 1 Enrollment Collection

  • Used for planning and policy development (State & Federal)
  • “Official” Enrollment for School Year
  • Low Income Determination
    • Official Poverty Count - Field 88 (Poverty Code) in Student Template – Determined by LEA
  • Official Free/Reduced Lunch Count
    • Field 33 (Ec. Status) – Participation in F/R Lunch Program
    • Field 131 (Food Prog. Elig.) – Eligible for F/R Lunch Program
  • Title I (2013-14 PIMS – no eGrants)
  • Teacher Loan Forgiveness Program (30.1% Poverty Level)
  • Limited English Proficiency (LEP) (2013-14 PIMS – no LEP System)
    • Title III Funds
Potential Impact of Bad Data

Central Intermediate Unit 10 - SAC Meeting 9/11/13

potential impact of bad data1

Child Accounting (Including what other LEAs report for you)

  • State Subsidies
    • Basic Education Funding
    • Special Education Funding (different from 12/1 Child Count for Feds)
    • Tuition for Orphans Subsidy (1305/1306/Homeless)
    • Secondary Career & Technical Education Subsidy (Approved Reimbursable Programs – CTE Collection)
  • Membership Data Used to Calculate District Tuition Rate
  • Weighted Average Daily Membership (WADM)
    • Used in calculation of aid ratios for State subsidies
  • Average Daily Attendance (ADA)
    • No Child Left Behind (NCLB)
    • Adequate Yearly Progress (AYP)
    • School Report Card
    • School Performance Profile
    • Federal ADA Report
Potential Impact of Bad Data

Central Intermediate Unit 10 - SAC Meeting 9/11/13

potential impact of bad data2

Educator Effectiveness (Student/Teacher/Course Linkage)

  • Teacher Evaluations (Compensation?)
  • Teacher Grievances

School Performance Profile

  • Public Perception (Student Growth, Courses of Rigor, Grad/Dropout Rates, Attendance)
  • Transparency

Educator Dashboard & Early Warning System (Proposed)

  • Use PIMS Data to Identify Students At Risk of Dropping Out
  • Curricular, Instructional, and Program Decisions
  • Use a Catalog of Effective Differentiated Instruction & Interventions
Potential Impact of Bad Data

Central Intermediate Unit 10 - SAC Meeting 9/11/13

pde s data governance quality initiative

Significant Issues with Data Quality in Previous Years

  • PDE Tasked IUs to Provide Assistance to LEAs for:
    • Timely and Accurate Data Collection
    • Implementing and Sustaining Data Governance and Data Best Practices
    • Facilitate Monthly Data Quality Network Meetings
    • Assist LEAs With Data Quality Engine (DQE) Use (Goes “LIVE” October 1) – Front End Edit Validations
    • Conduct Training for PDE’s “Data Quality Certification Program” (Tentative Roll Out Spring/Summer 2014)
PDE’s Data Governance/ Quality Initiative

Central Intermediate Unit 10 - SAC Meeting 9/11/13

data quality initiative

IU Regional Leads – Region 6 Lead, Dan Berger (Also IU 11 Point of Contact)

  • IU Points of Contact – IU 10, Kim Moyer; IU 8, Barry Frye
Data Quality Initiative

Central Intermediate Unit 10 - SAC Meeting 9/11/13

data quality engine 10 1 13

New Data Flow Process – Up Front Edit Checks

  • Additional Validation Layer Between File Manager & Batch Manager Verifications in PIMS Upload Process
  • Compound Data Quality Checks
    • Validations on a single row or within a single template
  • Advanced Data Quality Checks
    • Validations across templates, query the data warehouse, or query groupings in a single template
  • All templates for a collection must be “batched” together
  • Data Exception Requests
  • Always Correct the Source System
Data Quality Engine (10/1/13)

Central Intermediate Unit 10 - SAC Meeting 9/11/13

pde s data quality certification

Tracks:

    • Entry Level PIMS Administrators
    • PIMS Administrators
    • LEA Administrators
    • Data Entry
  • Specialty Modules:
    • Data Quality Engine
    • PA Secure ID
    • School Performance Profile
    • Teacher-Student Data Linkage/Educator Effectiveness
    • Special Education
    • Child Accounting
    • Career and Technology Education
PDE’s Data Quality Certification

Central Intermediate Unit 10 - SAC Meeting 9/11/13

data quality certification

Goals:

    • Reduce data-related errors in federal and state reporting
    • Reduce data-related errors and inaccurate reporting that can lead to reductions in funding
    • Increase the quality of the data that will be used for evaluation purposes, such as the School Performance Profiles
    • Increase understanding of critical issues such as FERPA, data relationships and best practices
    • Create an effective and enterprise-wide culture of data quality
    • Improve the quality, timeliness and understanding of the data used for educational reporting, decision-making and school/student improvement
Data Quality Certification

Central Intermediate Unit 10 - SAC Meeting 9/11/13

data quality certification1

Reinforce that data management responsibilities are critical to an effective school environment and require a specific set of skills (LEA Administrators)

    • Who is doing the job? Do they have the skills? Are they the best person for the job? What other duties do they have? Do these other duties interfere with PIMS responsibilities? How are they paid? Is there administrative oversight or are they are on their own? How do they resolve errors?
    • Do youhave a back-up plan? What would happen in your district if your PIMS person has a sudden long-term absence or leaves the district?
Data Quality Certification

Central Intermediate Unit 10 - SAC Meeting 9/11/13

call to action

What can Superintendents do to facilitate a culture of data quality?

    • Lead by Example & Prioritize PIMS
      • Enroll in the DQC Program
      • Ask to see the data
      • Use the data (Cohort Grad Rate, Incident Reporting, Enrollment Data)
      • Schedule & Participate in Data Team meetings
      • Be involved in Data Calendar formation
      • Make PIMS Data an agenda item at Admin. Meetings
Call to Action

Central Intermediate Unit 10 - SAC Meeting 9/11/13

call to action1

What can Superintendents do to facilitate a culture of data quality?

    • Support
      • Talk to PIMS Admin./Data Entry Personnel
      • Provide Resources (TIME/QUIET/SHUFFLE DUTIES/SUBS)
      • Identify Existing Obstacles to Quality Data
      • Encourage Participation in DQC Program
      • Require Attendance at PDE Webinars for each Collection
      • Work with them through a PIMS submission
      • Complete the PIMS Administration Discussion Exercise
    • Be Involved
Call to Action

Central Intermediate Unit 10 - SAC Meeting 9/11/13

references

http://www.padqc.org/ (Overview of DQC)

  • http://www.padqc.org/learn/index.php (DQE Simulations)
  • http://vimeo.com/68623641(PA Educator Dashboard)
  • http://www2.ed.gov/about/inits/ed/edfacts/index.html (EdFacts)
  • http://www.portal.state.pa.us/portal/server.pt/community/pims-pennsylvania_information_management_system/8959 (PDE PIMS)
  • http://www.nga.org/cms/home/nga-center-for-best-practices/center-issues/page-edu-issues/col2-content/main-content-list/high-school-redesign.html (National Governors’ Association Compact on Cohort Graduation Rate)
References

Central Intermediate Unit 10 - SAC Meeting 9/11/13

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