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NCES National Center for Education Statistics - AIR Powered By Docstoc
					      AIR/NCES/NSF
 Summer Data Policy Institute

2007-08 National Postsecondary
 Student Aid Study (NPSAS:08)
            Tracy Hunt-White, PhD
    National Center for Education Statistics
          Tracy.Hunt-White@ed.gov
                 202-502-7438



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NPSAS:08
• Main purpose: Examine how students and their
  families pay for college.
  – Nationally representative sample of undergraduate and
    graduate students attending postsecondary institutions
    in the 2007-08 academic year.
  • What else: Examine the characteristics of
    students enrolled in all levels of postsecondary
    education.



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More about NPSAS
– Congressionally-mandated
– All levels of postsecondary institutions
– Aided and non-aided students
– Full- and part-time students
– About every 4 years since 1987
  (1987, 1990, 1993, 1996, 2000, 2004, 2008)
– Alternating years - BPS and B&B cohorts


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NPSAS:08 Sample
•   Sample size – 138,000 undergraduates and
    graduate students from 1,900 institutions
•   Eligible sample size – 132,800 students
    (e.g. didn’t attend school during period, left during full refund period,
    etc)

•   Study respondents – 127,700 students
•   Represents 21M UG, 3M graduate students
    enrolled in 2007-08

                                     4
NPSAS:08 Sample
•   State-representative undergraduate samples for
    6 states:
    -- California, Georgia, Illinois, Minnesota, New York, and
    Texas
    But only for students attending:
     -- public 2-year, public 4-year, private not-for-profit 4-
         year, and private for-profit institutions




                               5
NPSAS:08 Sample
• ACG / SMART
  – Oversampled SMART recipients, but not ACG
  – Captured the awareness of the programs
  – Captured awareness of program requirements
  – Plans to change behavior (new major, attendance status)
    because of new programs
• Baccalaureate & Beyond Longitudinal Study (B&B)
  – Follows 2007-08 graduating seniors one year and four
    years later.
                                ACG- Academic Competitiveness Grant
                                SMART- National Science and Mathematics
                            6   Access to Retain Talent grant
NPSAS - How it works
l   Select a sample of institutions
l   Request student enrollment lists
l   Select a sample of students
l   Interview students
l   Go back to school for additional info
l   Get data from external sources


                         7
    NPSAS Data Sources
l   Self-reported, web and telephone interview
l   Institutionally-reported data
    -- Attendance pattern (full or part-time), class level,
    degree program, major, GPA, tuition, demographics,
    financial aid

l   Other administrative data sources
    -- Central Processing System (FAFSA)
    -- National Student Loan Data System
        (Federal Loans, Pell Grants)
    -- National Student Clearinghouse
    -- IPEDS

                              8
NPSAS Data Elements

 •   Student demographic characteristics
 •   Pre-college characteristics
 •   Institutional characteristics
 •   Enrollment histories
 •   Detailed information on college financing
 •   College experiences


                        9
PowerStats for NPSAS:08
•   Separate data sets for undergraduate and
    graduate students
•   Estimates based on weighted sample sizes
    – UG – 114,000 respondents weighted to represent 21M
      undergraduates
    – Grad - 14,000 respondents weighted to represent 3M
      graduate students
•   About 800 variables


                            10
What is PowerStats?

• Your portal to NCES postsecondary sample
  surveys.
• A way to generate tables of national estimates.
• A way to conduct correlational analyses,
  including weighted least squares and logistic
  regressions.




                        11
What’s Available in PowerStats?
–National Study of Postsecondary Faculty
  NSOPF:2004

–National Postsecondary Student Aid Study
   NPSAS:2000, NPSAS:2004, NPSAS:2008

–Beginning Postsecondary Students Study
   BPS:90/94, BPS:96/01, BPS:04/06

–Baccalaureate and Beyond (B&B)
   B&B:93/03, B&B:00/01, B&B:08/09

                        12
PowerStats - Tables of National Estimates
         Generates percentage of population in each
         category of a variable, displayed in columns.
         Example: Distribution of dependency status by age


         Computes averages, medians, or percentages for
         your selected variables, displayed in columns.
         Example: Average Pell Grant by Parental Income Group


         Produces values of a continuous variable at centiles,
         displayed in columns.
         Example: Distribution of GPA by Major



                           13
PowerStats - Correlational Analyses
         Estimate linear relationship between predictor
         variables and a continuous outcome.
         Example: Publications, based on faculty and
         institutional characteristics

         Estimate relationship between predictor
         variables and a binary outcome.
         Example: Student persistence, based on student and
         institutional characteristics

         Compute correlations between two or more
         variables.
         Example: Relationship among student aid variables



                            14
Can you manipulate data in PowerStats?
 • Yes – you can…to an extent
 • Recode (or combine) categorical values
 • Recode continuous variables into categories
 • Repeat the analysis based on the values of an
   additional variable (Subtables)
 • Filter data on up to five selected variables

                          15
What you cannot do in PowerStats

 • Create new variables – only modify what is
   already there

 • Access individual cases – this helps protect
   the confidentiality of individuals




                           16
Locating Variables
•   Many similar variables
•   Some appear under multiple subject
    categories
•   Tips:
    – Read the variable description
    – Look at NCES reports and tables
      • Glossary
      • Table specification files

                            17
How to Access PowerStats
üGoto: http://nces.ed.gov/datalab
üSetup PowerStats user account




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