Skip Navigation


Concurrent Session XII Presentations

Friday, July 27, 2018
11:30 am – 12:30 pm

XII–A New Mexico’s Early Childhood Integrated Data System: Multiple Agencies, Many Source Systems, One Enchanting Solution!

Kathryn Cleary, New Mexico Public Education Department
Figen Bilir, eScholar LLC

The New Mexico Public Education Department (PED), Child, Youth and Families Department (CYFD), and Department of Health (DOH) implemented a commercial off-the-shelf Early Childhood Integrated Data System (ECIDS) to make informed decisions that promote outcomes for NM’s children from birth to high school and beyond. This session will discuss the project implementation, lessons learned, best practices, envisioned examples of reports as a result, and next steps of ECIDS.

Complexity: Entry Level

Download Zipped Adobe Presentation:

XII–B IES Grants for Analyzing Your State or District Data

Allen Ruby, U.S. Department of Education

IES provides grants to support research through two of its Centers: the National Center on Education Research and the National Center on Special Education Research. This session will describe these grant programs with a specific emphasis on grants that can be used to analyze state and district administrative data by SEA/LEA personnel and/or by researchers located in other institutions (such as research firms, and colleges and universities). Examples of funded projects will be provided along with advice on the grant application process.

Complexity: Entry Level

Download Zipped PowerPoint Presentation:

XII–C EDFacts Data: Where is it and How to Access it?

Jennifer Davies, U.S. Department of Education
Melissa Wilks, QI Partners

The U.S. Department of Education (ED) has collected and made available to the public a wide range of data pertaining to different aspects of Elementary and Secondary education. EDFacts data are available publicly in many places and there are a number of tools and data files that are available for public use. This presentation will introduce some of the ways EDFacts data are used and presented by ED, as well as provide information on some of the ways the public are using EDFacts data every day. Included in the discussion will be the Common Core of Data files, ElSi, EDDataExpress, the IDEA Section 618 Data Products, and other program offices sites offering EDFacts data. The presentation will conclude with a demonstration of extracting data from the EDFacts Initiative website, using analytic tools to connect it with other ED data. The analytic tools to be demonstrated are: Excel, SAS Enterprise Guide and Tableau.

Complexity: Entry Level

Download Zipped PowerPoint Presentation:

XII–D CRDC Longitudinal Data Vulnerabilities & Challenges: How to Analyze Three Cycles Collected 2011 to 2016

Jennifer Burrell, American Institutes for Research

Longitudinal data collection is considered the gold standard approach to understanding education issues over time. However, this design is complicated and presents analytical challenges due to changes in data reporting systems, changes in data definitions and data elements, and missing data. This presentation will highlight challenges specific to a longitudinal analysis of CRDC cycles 2011-12, 2013-14, and 2015-16. CRDC has expanded since its first cycle in 1968 and now includes biennial data from every public school district in the United States. Data vulnerabilities and challenges will be discussed. Tips for approaching a 3-cycle CRDC trends analysis will be presented.

Complexity: Entry Level

XII–E States are Key! State support and the success of NCES K-12 Longitudinal Studies

Elise Christopher, National Center for Education Statistics
Jill McCarroll, National Center for Education Statistics
Carolyn Fidelman, National Center for Education Statistics

States are a critical partner in the success of NCES K-12 longitudinal studies. State level support helps to assure that studies conducted by the Longitudinal Surveys Branch accurately represent our nation's students and schools. NCES study leads will describe existing and upcoming data collections at the early childhood, middle grade, and high school levels, their relevance to states, and which studies will be recruiting in states during the next few school terms. Findings from existing longitudinal studies that may be of particular interest to states will be featured.

Complexity: Entry Level

XII–F How to Develop and Disseminate Sustainable Online Data Use Training for Teachers

Nathan Anderson, North Dakota Information Technology Department

This session will focus on North Dakota's approach to maintaining sustainable online data use training for teachers. Participants will learn how ND defined the state role in training teachers, the supports teachers needed that were different from other audiences, how ND's online curriculum is intended to meet the need, key partnerships contributing to curriculum development and dissemination, and the methods for evaluating the extent to which the online curriculum reaches the intended audience, implemented as planned, and achieving desired outcomes. A demonstration of the online curriculum, Develop Your Data Mindset: Essentials of Educational Data Use, will be provided.

Complexity: Entry Level

Download Zipped PowerPoint Presentation:

XII–G The Gender Deficit in Earnings Among Workers with Postsecondary Degrees or Credentials in Washington State

Greg Weeks, Washington State Office of Financial Management

This research uses a propensity score matching methodology to estimate selection-corrected post-graduation earnings by gender for five distinct postsecondary degrees and credentials in Washington state. Findings confirm that completing a postsecondary credential or degree generally leads to higher annual real earnings, though women consistently earn less than men, regardless of educational achievement. Female earnings as a percent of male earnings remains fairly static across all five postsecondary credentials. The paper explores this gender deficit in earnings by examining the effects of degrees and credentials as well as subject area for workers with bachelor's degrees.

Complexity: Intermediate Level

XII–H Implementing a Full CEDS Data Flow

Rick Thompson, South Carolina Department of Education
Duane Brown, Common Education Data Standards

Through their Aquinas project, South Carolina is building out a new integrated data collection, validation, reporting, and business intelligence suite. Their foundation is the Common Education Data Standards (CEDS) data model. Come and see what a full CEDS implementation looks like and find out more about how #CEDSCanHelp with data implementation.

Complexity: Intermediate Level

XII–J Support, Improve, Communicate: How Data Literacy Empowers School and District Administrators

Jennifer Briones, Data Quality Campaign
Gregory Mullenholz, Montgomery County Public Schools (Maryland)

When school and district administrators have the timely, useful data they need, they are empowered to support instruction, foster continuous improvement, and communicate broadly about school and district challenges and successes. This is the picture of a data-literate administrator - someone who can leverage multiple sources of data to lead a culture of data use and improve outcomes for all students. Join the Data Quality Campaign and representatives from leading states to learn about creating the conditions and ensuring the capacity needed for administrators to be data literate.

Complexity: Entry Level

Download Zipped PowerPoint Presentation:

XII–K Analysis of School Lottery Data to Improve Policy

Catherine Peretti, DC Office of the State Superintendent of Education
Aaron Parrot, DC Office of the State Superintendent of Education
Steven Glazerman, Mathematica Policy Research
Ignacio Martinez, Mathematica Policy Research

The panel will discuss the data that comes from parent rankings of public schools from a citywide school lottery and how these can be used to inform policy. The first presentation describes an empirical analysis of how giving lottery preference to at-risk families could increase opportunity and its effects on other applicants. The second presentation will show how the data can be used to gauge what parents value when they choose schools. The third presentation will show how such findings can be used to forecast enrollment demand and predict the effects of alternative policies on sorting and segregation.

Complexity: Entry Level


  Room Location
A Palm Court Ballroom Lobby Level
B Senate Room Lobby Level
C East Ballroom Lobby Level
D Chinese Ballroom Lobby Level
E Virginia Second Level
F South Carolina Second Level
G Rhode Island Second Level
H Pennsylvania Second Level
J New Hampshire Second Level
K New Jersey Second Level