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STATS-DC 2009 NCES Data Conference
 


Agenda at a Glance - Page 1


NCES Summer Data Conference • July 29–31, 2009 • Sessions At-A-Glance
Room Name Susquehanna/
Severn
Potomac/
Patuxent
Diplomat/
Ambassador
Cabinet
Session A B C D
WEDNESDAY, JULY 29, 2009
Opening Plenary Session — 1:15 - 2:15 — (Crystal Ballroom)
Concurrent
Session I
2:30 - 3:20

Building a Standards-Based Data
Warehouse

Nadeau, Fawcett, Elia

CCD Non-Fiscal Coordinators'
Training
SLDS Grantees'
Business Meeting

CCD Fiscal Coordinators'
Training


Teacher Compensation Survey
Training

Concurrent
Session II
3:30 - 4:20

Real Time Data Management to Improve
Your Data Quality


Nadeau, Fawcett, Starr, Collins, Elia

Concurrent
Session III
4:30 - 5:20

On-line Educator Credentialing in
Oklahoma


High, J. Smith, Hupp

THURSDAY, JULY 30, 2009
Concurrent
Session IV
8:30 - 9:30 
The Oregon Story: Increasing Learning
for ALL Students


Rodriguez, Garrison

Good Data Gone Bad! Common
Mistakes in the Development and Use of Longitudinal Data


Airola, Mulvenon
EDFacts Data and the Four Assurances
for the ARRA


Santy

The Impact of Title I Funding on School
Spending and Student Achievement


Schwartz, Weinstein

Concurrent
Session V
9:45 - 10:45 
Data Use in Ohio’s Schools: Research,
Action and Overall School Improvement
Strategy


Woolard, DeAngelo, Storandt

Data Driven Decision Making Begins
With Good Data! Understanding What
Constitutes Good Data


Mulvenon, Airola

Demands for More and Better Data and
EDFacts


Santy, Case
Teacher-Designed Incentive Pay in
Texas


L. Taylor, Springer
Concurrent
Session VI
11:00 - 12:00

Interactive Data Visualization With
Social Networking


Gibson

Data Analysis: ROI That Drives Student
Performance


Partch

Determining Factors in Title I Allocations

Sonnenberg, Dalzell, Basel, Abel, P. Ream


Education Finance Distribution
Formulas and Poverty Index Models


Wood, Escue

Lunch on Your Own
Concurrent
Session VII
1:30 - 2:30

Workshop: A District Approach to
Longitudinal Data Systems


Kitchens, McLaughlin, Mwavita, Steffens


Improving Data to Boost Special
Education Funding and Accountability

Weinberger

Civil Rights Data Collection (CRDC) Data
Speak for Themselves

Banwart, Fitch, Schifferli, Burgess,
Thompson

The New Texas Two-Step: An Empirical
Analysis of Horizontal and Vertical
Equity Among the Public Schools of
Texas 1998-2007


Rolle, Torres

Concurrent
Session VIII
2:45 - 3:45

Data Governance to Improve Data
Quality


Hislop, Donald

MSIX and Quality Data—A Case Study

Hedlund, Dozier

How to Facilitate Consistent/Comparable
Reporting of Federal ARRA Fund Usage

Rader, Altemus, McCurdy, Norman

Concurrent
Session IX
4:00 - 5:00

Leveraging Mandated Indicator Data for
Student Learning in Ontario


Knight, Kostuch


Breaking Into the Principal’s Office: The
Use of a Professional Development
Program for Administrators to
Strengthen Data Quality in Kansas


Gosa, Carter

Charter Schools—What is Happening?

Kern, Sathya, Timm, Flaherty
Calculating Maintenance of Effort and
Indirect Cost Rates


Rader, Altemus, McCurdy, Norman
FRIDAY, JULY 31, 2009
Concurrent
Session X
8:30 - 9:30


NCES School District Demographic
System (SDDS) Update


Phan, Lippmann, Roberts

Education Information Systems: Where
to Look and Who to Ask for Information


Sherrill, Meyers
EDFacts Directory Data

Hinman, Hoffman
Supplemental Educational Services and
Student Achievement: Evidence From a
Large, Urban School District

Springer
Concurrent
Session XI
9:45 - 10:45

Geographic Analysis of Data With
National Geographic FieldScope


Phan, Schwille, Russell

Fusion—Wyoming's Answer to a
Statewide Portal Solution


Schutte, Jackl
The Condition of Education Project

Planty, Hussar, Kena
SEA Process Improvement Initiatives for
Mandatory EDFacts Reporting


Newby, Eickman, Edwards, Ihlenfeldt
Concurrent
Session XII
11:00 - 12:00
 
Indian River School District Data
Integration Practices

Starr, Elia

 
Transforming EDFacts Submission
Plans in EMAPS for Core of Common
Data


Clark, Little

Key to Topics
Data Delivery/Use
Data Standards
Data Systems
Federal


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