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IPEDS Focus Session 2: Derived Variables in IPEDS

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Title: New NCES Dataset Cutting Tool for IPEDS Author: John Milam Last modified by: Susan Winter Created Date: 4/29/2003 8:11:44 PM Document presentation format – PowerPoint PPT presentation

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Title: IPEDS Focus Session 2: Derived Variables in IPEDS


1
IPEDS Focus Session 2 Derived Variables in IPEDS
  • SHEEO/NCES Network Conference IPEDS Workshop
    3/31/04John MilamHigherEd.org, Inc.

2
Project Description
  • NCES project to add value to IPEDS by creating
    new derived calculated variables
  • Derived variables will make it quicker for users
    to get the data they need without lots of
    calculations will be more than subtotals
  • Derived variables address policy questions
  • Parallel to NPEC Data Feedback project
  • Parallel to improvements to PAS
  • Derived variables are required for 2 new tools -
    IPEDS DAS Peer Tool for Novices

3
Project activities
  • Reviewed relevant literature to identify
    variables that have been used to address policy
    issues in postsecondary education
  • Reviewed IPEDS surveys
  • Prepared working list of variables
  • Obtained preliminary review comments from NCES
    the IR association communities
  • Held IPEDS Technical Review Panel2/4-5/04 to
    identify issues revise list

4
Project activities cont.
  • Reviewed imputation perturbation issues
  • NCES upgraded PAS navigation/subtotals
  • NCES review of new variables
  • Preparing report of recommendations
  • Will post proposal on IPEDS website with period
    for commentary feedback
  • Will integrate comments w/ NCES decisions
  • Will create definitions SQL
  • Will integrate variables into applications

5
Some assumptions questions
  • Derived variables must suit the tools
  • All will be available in the PAS/DCT
  • Subset in the Peer Tool for Novices
  • Subset in the IPEDS DAS
  • When is a calculation so onerous it needs to be
    created as a new variable?
  • Need variables to produce ED Tab tables w/ the
    IPEDS DAS

6
Some assumptions questions cont.
  • Handling single-record vs multi-record data
    hierarchical or qualifying
  • When is a derived variable a variable vs. a value
    label?
  • When to use data vs. percentages?
  • What will the tools provide automatically?
    Display of means, counts, sums

7
TRP Recommendations
  • Subtotals for qualifying variables data
    whenever possible
  • Student FTE by level (new method)
  • Total full-time faculty FTE for non-medical
    non-medical (new method)
  • New total with definitions for core revenues
    core expenses
  • Core revenues (total by source) as a of core
    revenues
  • Net tuition fees revenue as a of core
    revenues
  • Net tuition fees revenue per FTE student
  • Expenses by type as a of core expenses
  • Core expenses (total by type) per FTE student
    (NPEC)
  • Equity Ratio (Net Assets divided by Total Assets)
  • Average undergraduate charges by residency
  • Average total price of attendance (new method)
  • Admissions ratios/yield by gender

8
TRP Recommendations -2
  • Combinations of totals for tuition fees, room
    board, books supplies, other expenses by
    residency and financial aid dependency status
  • Grants (by type) as a of average total price of
    attendance
  • Loans as a of average total price of attendance
  • Dorm capacity as percent of total full-time
    enrollment w/ grad first prof
  • Fall total enrollment by adult age (25-64) by
    status level
  • Fall undergraduate enrollment as lt18, 18-24,
    25-64, 65
  • Average 9-month equated salary, total by rank
  • Average 9-month equated total compensation, total
    by rank
  • Total Fringe Benefits as a of Total Expenses
  • Total Salaries Fringe Benefits as a of Total
    Expenses
  • Total Salaries as a of Total Expenses

9
NPEC variables for Novices tool
  • Admissions
  • Admitted as of applied
  • Students enrolled as of admitted
  • Completions demographics
  • Ethnicity by undergraduate completions as of
    undergraduate completions
  • Enrollment
  • Full-time Fall enrollment
  • Part-time Fall enrollment
  • Total Fall enrollment
  • Total FTE enrollment
  • Unduplicated headcount
  • Enrollment demographics
  • Ethnicity by undergraduate students as of
    undergraduates

10
NPEC variables for Novices tool - 2
  • Faculty
  • Female tenured of full-time faculty
  • Full-time faculty
  • Tenured of full-time faculty
  • Faculty demographics
  • Ethnicity as of full-time faculty
  • Faculty salaries
  • Avg salary - professor male
  • Avg salary - professor female
  • Avg salary - associate professor male
  • Avg salary - associate professor female
  • Avg salary - assistant professor male
  • Avg salary - assistant professor female

11
NPEC variables for Novices tool - 3
  • Finance
  • Instruction expenditure per FTE
  • State local gov't appropriation revenue per FTE
  • Tuition fee revenue per FTE
  • Financial aid
  • Avg amount of federal grants scholarships
  • Avg amount of institutional grants scholarships
  • Avg amount of loans
  • Avg amount of state grants scholarships
  • of Students receiving federal grants
    scholarships
  • of Students receiving institutional grants
    scholarships
  • of Students receiving loans
  • of Students receiving state grants
    scholarships
  • Scholarship fellowship per FTE

12
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