What Works? Heide Spruck Wrigley
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Transcript What Works? Heide Spruck Wrigley
A Project of the U.S. Department of Education
Planning for a Successful Data System
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Revised NRS Guidelines
Webinar Overview
Introduction
Planning an NRS Data System
2
David Hollender
Questions and Answers
A Longitudinal Data System
Larry Condelli
Steve Coleman
General Discussion
Revised NRS Guidelines
Planning An
NRS Data System
March 29, 2006
Dave’s “Top 3”
Reasons Not To Plan
1. Planning costs too much and takes too long.
We can skip it.
2. No need to plan. We’ll ask (fill in name of state) if
we can use their data system.
3. Our programmers are really smart.
They don’t need a plan.
4
Planning is Essential
Collect All Relevant Information
Meet All State & Local Needs
Assure Expertise & Infrastructure
Implementing an NRS data system without proper planning
is like teaching a class without a curriculum.
5
Steps to Success
1.
Analyze Requirements
2.
Prepare Requirements Document
3.
Buy / Build System
4.
Test
5.
Rollout
Over the years, software engineering practices have developed
that assure the success of new systems. These approaches
minimize the risk and help to manage the cost of new systems.
6
Analyze Requirements
Functionality
Usability
Technical
7
Analyzing Requirements
Functionality
Generate NRS Tables
Day to Day Program Needs
Support Decision Making
Promote Data Quality & Completeness
State Specific Needs
8
Analyzing Requirements
Usability
Who will operate system?
What will they need to do?
What Does “Easy to Use” Mean to them?
9
Analyzing Requirements
Technical
Timeliness
Security
Existing Infrastructure
Interoperability
Special Needs
10
Analyzing Requirements
Who Participates?
State Director
State Data Manger
State IT Department
Program Staff
Other State Staff
11
Prepare Requirements Document
For Whom ?
For What ?
You & Your Team
Review
Vendors/Developers
RFP
Acceptance Testing
12
Requirements Document Includes
Data Items
Required Functions
Reports
Technical Needs
13
Buy / Build System
Buy
Build
Base RFP on
requirements
Base Technical Spec
on requirements
Evaluate responses
Review design
Ask other states
Ask local staff
Build toward
benchmarks
14
Testing
Prepare Test Plan
Test Functionality
Realistic environment
15
Rollout
Configuration
Data Conversion
More Testing
Training
Technical Support
16
Steps to Success
1.
Analyze Requirements
2.
Prepare Requirements Document
3.
Buy / Build System
4.
Test
5.
Rollout
17
A Longitudinal Data System
What it can do for you
Stephen Coleman
American Institutes for Research
March 29, 2006
Planning for a Successful Data System
What is a Longitudinal Data System?
Allows analysis across PYs. Not limited to a
snapshot of adult education students.
Contains individual student records, which
allows much more flexibility in analysis and
tracking of students over time.
Able to produce reports which meet NRS
requirements.
Planning for a Successful Data System
Why a Longitudinal Data System?
Better understand the adult education
students in your state and therefore
better serve them.
Answer important questions about
adult education students in your state.
Planning for a Successful Data System
Questions it Can Answer
What is the relationship between intensity
of instruction, length of time in adult
education, and educational gain?
How many students who withdraw from
adult education programs re-enroll and
how long is the gap between withdraw
and re-enrollment?
Planning for a Successful Data System
Questions
Cont.
How long do students typically stay in
adult education?
What characteristics (e.g., age, EFL at
entry, program type) distinguish students
who stay 1 year or more from those who
stay for shorter periods?
Planning for a Successful Data System
Benefits
Provides a more accurate and dynamic
picture of adult education population.
Highlights changes across years.
Allows much more flexibility in analysis.
Planning for a Successful Data System
Benefits Cont.
Captures educational gain & other
characteristics regardless of when students
enter or leave or their length of stay.
Facilitates exploration of the relationship of
instructional variables to educational gain &
other outcomes.
Planning for a Successful Data System
Creating a Longitudinal Database
Create a relational database with a unique
ID for every student.
Collect all data you need and anticipate
needing.
Include students’ pre- and posttest scale
scores.
Create mechanisms to export data by a
range of dates.
Planning for a Successful Data System
Creating a Longitudinal…
Cont.
Include dates for time dependent events,
such as entering a program, testing, & goal
achievement.
Cleary and completely document the
variables in your database.
Clearly distinguish between missing data
and a negative response.
Planning for a Successful Data System
Summary
While may require additional initial
investment, has many benefits.
Provides more dynamic and accurate picture
of adult education students in your state.
Compatible with NRS reporting
requirements.
Planning for a Successful Data System
Additional Resources
NRS Tips Longitudinal Data Systems
Data Quality Campaign
(http://www.dataqualitycampaign.org)Creating a Longitudinal Data System and
Measuring What Matters: Creating a
Longitudinal Data System to Improve Student
Achievement.
Planning for a Successful Data System
Additional Resources
Cont.
ECS: A Policymaker’s Guide to the Value of
Longitudinal Student Data
(http://www.ecs.org/clearinghouse/40/21/4021.
htm).
A Better Student Data System for California
(http://wwwstat.stanford.edu/~rag/ed351/better_data.pdf)
Planning for a Successful Data System
General Discussion
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Planning for a Successful Data System
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Planning for a Successful Data System