Concurrent Session VIII Presentations

Thursday, February 14, 2013
11:30 - 12:30

VIII–A: Data Analysis Technical Assistance (DATA) User Group Meeting

Dorothyjean Cratty, National Center for Education Statistics
Jared Knowles, Wisconsin Department of Public Instruction

This will be a group meeting of state and local education agency staff involved in conducting and/ or vetting analysis, using their agencies’ administrative data to share information on statistical methods and resources. The Data Analysis Technical Assistance (DATA) User Group is the core of a broader data analysis community of practice (DATA-COM) where agency analysts can draw on the expertise of each other and of researchers capable of helping education agencies increase statistical capacity.

If you are not a state or local education agency analyst but are interested in participating in the broader community of practice, you are welcome to attend the open DATA-COM session (IX-A at 1:45 p.m.).

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VIII–B Data for Action: How Oklahoma Is Efficiently Expanding Data Tools

John Kraman, Oklahoma State Department of Education
Kathleen Barfield, Edvance Research, Inc.
Lori Fey, Michael & Susan Dell Foundation

Across Oklahoma, educators are accessing new data tools while the data infrastructure is being updated and improved. This session will offer a look into the Early Warning Indicator System and the School Data Partner Tool, as well as plans to expand functionality to encompass powerful Ed- Fi-enabled dashboards and key training and intervention tracking components, PM Village, which was originally developed by Edvance Research. Hear how stakeholders are reacting to, using, and informing the development of these evolving tools.

Download PowerPoint Presentation:

Data for Action: How Oklahoma Is Efficiently Expanding Data Tools (1.95 MB)

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VIII–C Higher Education Longitudinal Data System in New York State

Charlene Swanson and Andrew Setzer, New York State Education Department
Russ Redgate, eScholar LLC

The New York State Education Department (NYSED) with its P–20 statewide longitudinal data system (SLDS) platform vendor, eScholar, will discuss in this session the goals and objectives driving NYSED to expand its education SLDS data collection to include higher education information from the State University of New York (SUNY) and the City University of New York (CUNY). Topics include policy considerations, identification and enlistment of various stakeholders, current and future scope of data collection efforts, and NYSED’s roadmap for using these data to improve curriculum and policy decisions throughout the education continuum. Attendees of this session will be given the opportunity to share their experiences implementing postsecondary data collection.

Download PowerPoint Presentation:

Higher Education Longitudinal Data System in New York State (239 KB)

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VIII–D Using Name Change and Non-Education Administrative Data to Assist in Identity Matching

John Sabel, Washington State Education Research and Data Center
Carol Jenner, Washington Office of Financial Management

Identity matching techniques often utilize name data to assist in linking data longitudinally and across sectors. Though these techniques can handle some variations in names, they have difficulty with significant name changes. In these cases, using outside sources of name changes becomes essential. This session will describe those sources that are used by the Washington State Education Research and Data Center (ERDC) to match seemingly disparate data. Though these sources are specific to Washington State residents, analogous sources could potentially be available in other states. This session will also describe how these sources are prepared and how they are used in identity matching.

Download PowerPoint Presentation:

Using Name Change and Non-Education Administrative Data to Assist in Identity Matching (108 KB)

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VIII–E Training Local Stakeholders to Use Longitudinal Data Systems (LDS)

Robin Taylor, SLDS State Support Team
Justin Katahira, Hawaii State Department of Education
Bob Swiggum, Georgia Department of Education
Steve Garner, Delaware Department of Education

Panelists will give an overview of local stakeholder training for their state’s longitudinal data system, including who is trained, who provides the training, what content is included in the training, and how training occurs. Panelists will also discuss lessons learned regarding increasing stakeholder participation and increasing training effectiveness.

Download PowerPoint Presentation:

Training Local Stakeholders to Use Longitudinal Data Systems (LDS) (783 KB)

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VIII–F Tennessee Connects the State With Race to the Top Longitudinal Data Systems

Tammy Lemon and Tom Jenkins, The University of Tennessee
Jim Rife and Glynn Ligon, ESP Solutions Group

The University of Tennessee’s Center for Business and Economic Research (CBER) has consolidated data from labor, higher education, and K–12 education agencies. This session will explore how CBER has used the diverse data sources to create a true P–20 longitudinal data system (Measure Tennessee) designed to answer any question the governor, legislatures, researchers, educators, program administrators, parents, college applicants, or students could imagine. We will share insight on our journey through governance issues, security demands, metadata alignment mappings, master person indexing, and ETL-ing while creating the Measure Tennessee data system. Domains—you can only begin to count the domains.

Download PowerPoint Presentation:

Tennessee Connects the State With Race to the Top Longitudinal Data Systems (2.38 MB)

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VIII–G Automating State Reporting—A Regional Service Agency Success Story

Larry Fruth, SIF Association Jennifer Schmidt, Tri-Rivers Educational Computer Association (TRECA)

The regional agency focus on supporting its local school districts is continuing to expand in this age of "doing more with less." Add on top of that now the increased role of mandated state reporting, and you have a recipe for increasing stress and time. This session will focus on the standardized approach that Ohio has taken to automate state reporting to ease the "pain" on schools and regional service agencies—the good and the bad!

Download PowerPoint Presentation:

Automating State Reporting—A Regional Service Agency Success Story (699 KB)

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VIII–H Exploring North Carolina School Statistics: A Look at Our New Online Statistical Profile and ARRA/RTTT Financial Reporting Application

Andrew Cox and Frank Cernik, North Carolina Department of Public Instruction

This session will explore the collection of, use of, and reporting of financial and student accounting data that is published on the North Carolina Public Schools website in its new online Statistical Profile (a compilation of statistical data at the state, local education agency, and charter school levels) that is easily accessible for public use. In addition, the presenters will explore statistical data published in North Carolina’s ARRA/RTTT Financial Reporting Application.

Download PDF Presentation and Handout:

Exploring North Carolina School Statistics: A Look at Our New Online Statistical Profile and ARRA/RTTT Financial Reporting Application (4.70 MB)

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VIII–I Preliminary, Provisional, and Final Data—Establishing a Data Release Life Cycle

Ross Santy, U.S. Department of Education

Data collected for programmatic or policy purposes go through an annual life cycle that can make it difficult to put out data in a timely fashion. Over the past year and a half, the U.S. Department of Education (ED) has been organizing around a three-stage model for data release that should result in shorter timelines between collection and publication. This session will cover how the three stages will be applied to a subset of data collected through EDFacts. The session will also include opportunities to provide feedback to ED on how the three-stage model could interact with state and/or local models of data release.

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