VT Census Case Studies : Utah Longitudinal Education Data

Variables included in the Dataset:

K-12

  • Demographics
  • School
  • District
  • Attendance/Dropout
  • Grades/GPA
  • Courses
  • Test scores
  • ACT/SAT
  • Disciplinary action
  • Teacher info (salaries, etc.)

Higher Education

  • Demographics
  • Type of college
  • Enrollment
  • Courses
  • Major
  • Grades
  • Tuition/Scholarships

Workforce

  • Demographics
  • Salary
  • Industry

Screening

  • Is there data available for 2013?
  • Can we access the data by August 15th? Potentially, but need to submit an IRB

Does this dataset appear to meet our needs for the Census study? UNDECIDED

Explanation: This data has potential since it is linked between K-12 and Higher education. However, it is unclear how long the proposal review and IRB process will take.

Full Inventory 

Purpose

  • What is the purpose of the organization collecting the data?

“USOE uses data to analyze student performance and inform educational improvements at the policy, state board, and classroom level.”

  • Who else uses the data? (make a note if they sell the data to companies)

Some data is available to public, non-confidential is available to those who submit research requests.

Description

  • What is the general topic of the data?
  • K-12 Student Information
  • Higher Education Student Information
  • Workforce Information
  • Longitudinal Education Information (includes K-12, Higher Ed, and/or Workforce)

 

  • What are the earliest and latest dates for which data is available?

1998-2014

  • How soon after a reference period ends can a data source be prepared and provided?

Less than one year.

 

Method

  • What is the data collection method (portal, other)?

Unknown

  • What is the raw source of the collected data (teacher, superintendent)?

Unknown

 

Selectivity (conversely, the representativeness)

  • What is the universe (e.g., population) that the data represents?

Public and charter (private schools not applicable), Native American Reservations in the state do not have current data.

 

Stability/Coherence

  • Note any changes to the universe of data being captured (e.g., including private schools).

Some years have data on the reservations in the state but not since 2007.

  • Note any changes to the data capture method or sources of data.

The Utah Data Alliance was established in 2009 so the workforce, k-12, and higher education data were not in sync until recently. 

 

Metadata

  • Is there a description of each variable in the source along with their valid values? 

Unknown

  • Are there unique IDs for unique elements that can be used for linking data?

Unknown

  • Can K-12 be linked to higher ed or higher ed to workforce?

Yes

  • Links to codebooks: N/A

 

Accuracy

  • Any known sources of error?

Unknown

  • Describe any quality control checks performed by the state (or data manager).

Unknown

 

Accessibility

  • How is the school-level data accessed (note if it needs to be screen scraped)?

Most of the k-12 data seems to be available online in spreadsheets.

  • How is the student-level data accessed?

Need to submit a USOE Education Research Proposal.

  • Note if IRB is needed or any other restrictions on accessing data. 

IRB required

  • Any records or fields collected, but not included in data source? 

Will not publish any subgroup of people less than 10. 

  • Cost? - One time or annual or project based payment? 

One-time fee.

 

Privacy and security

  • Note any confidentiality policies or legal limitations other than FERPA: 

N/A

  • What do they consider personally identifiable information? 

Unclear


Research

  • What research has been done with this dataset?  

State education policy 

  • Research links:

N/A

Describe any other notes you have or any gaps/concerns you see with this dataset: The combined data is not readily available without approval but the state has made an effort to combine all three facets of K-12, higher education, and workforce. This has the potential to be a great state to study but still several unknowns without being able to see the actual data.