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Colleges & Universities 2000 Databases

Announcing: CCS 2010 Now Available.  See description and download below.

The Colleges & Universities 2000 Project

The Colleges and Universities 2000 Project created two databases of interest to the higher education research community, the Institutional Data Archive (IDA) and the College Catalog Study (CCS) Database.

IDA and CCS databases are available for download online. User's downloading the data in Stata will need Stata 9 or later versions.  User's downloading the data in SAS or SPSS should experience no restrictions.

For queries about the databases, please contact: Steven Brint, CHASS Dean’s Office, 3405 HMNSS, University of California-Riverside, Riverside, CA 92521-0319 (steven.brint@ucr.edu) or Colleges & Universities 2000 data manager Kerry Mulligan (kmull001@student.ucr.edu).

A. The Institutional Data Archive

The Institutional Data Archive (IDA) consists of longitudinal and cross-sectional data on 384 institutions of higher education drawn from 24 separate data sets. IDA was created to allow researchers to take advantage of the large volume of data on higher education, which is spread across many separate data sets. IDA allows researchers to access this data without having to create composite data sets of their own.

The data cover earned degrees, enrollments, finances, faculty salaries, technology transfer activities, and institutional rankings over time. The longitudinal data cover the 40-year period, 1970-2010. IDA also includes data on university presidents, provosts, and faculty members, including disciplinary background, sex, age and opinions about current and future issues facing higher education. Census information concerning neighborhoods surrounding colleges and universities is also included. The data are organized in a panel design, with measurements taken at five year intervals: 1975-76, 1980-81, 1985-86, 1990-91, 1995-96, 2000-01, 2005-06, and 2010-11.

The sample of 384 institutions is based on stratified random sampling to over-sample elite institutions. The sample includes all highly selective colleges and leading research universities in the United States (n=71). It also includes more than 100 institutions from each of three other tiers. These three other tiers are: other selective colleges and research universities (tier 2); masters-granting comprehensive universities (tier 3); and non-selective baccalaureate-granting institutions (tier 4). The sample includes no specialized institutions (such as business colleges or art schools), for profit-institutions, or two-year colleges.

IDA data files are divided into sections based on whether or not institutional identifiers are attached to the data. Confidentiality agreements do not allow for the attachment of institutional identifiers in two of the 24 data sets.

The first section, IDA-Identifiable, includes data from the 20 data sets for which institutional identifiers could be included. Variables from the following data sets are included in this first section: (1) American Council on Education (ACE) surveys of college and university presidents; (2) Association of American Universities (AAU) membership; (3) Association of Research Libraries (ARL) library rankings and library holdings data; (4) Association of University Technology Managers (AUTM) technology transfer data; (5) Barron's Profile of American Colleges Selectivity Index and SAT/ACT data; (6) Carnegie Classifications; (7) The College Blue Book institutional data; (8) Consortium on Financing Higher Education (COFHE) membership; (9) Graham and Diamond institutional and departmental quality rankings; (10) Higher Education Directory institutional data; (11) Higher Education General Information System (HEGIS)/Integrated Postsecondary Education Data System (IPEDS) institutional characteristics data, enrollment data, financial data, six-year graduation rates and SAT scores data; (12) Huron Institute historical rankings of universities and professional schools and historical institutional data; (13) Morgan curricular clusters (measuring dominant curricular distributions); (14) National Science Foundation sources of research and development expenditures; (15) National Research Council (NRC) academic quality rankings of departments and divisions; (16) Open Doors data on international students; (17) U.S. Census Bureau data on neighborhoods surrounding universities 1990 and 2000; (18) U.S. Department of Agriculture’s classification of “land grant” institutions; (19) US News and World Report institutional quality rankings; (20) Zemsky Market Typology.

The second section, IDA-Not Identifiable, includes variables from two data sets in which institutional identifiers are confidential. Variables from the following data sets are included in this second section: (23) Colleges & Universities 2000 presidents survey and (24) Colleges & Universities 2000 provosts survey. We have attempted to make these data useful for comparative purposes by attaching six institutional characteristics to each data set. They are: Carnegie 1994 and Carnegie 2000 classification, selectivity level (on a five-point scale of average SAT/ACT scores), regional location, religious affiliation, and public-private control.

IDA data can be downloaded in SAS, SPSS, or Stata. The accompanying user's guide provides information on the approximately 2800 variables in IDA and includes information on weighting the data.

The National Science Foundation, the Atltantic Philanthropies, and the Spencer Foundation provided support for the construction of the Institutional Data Archive.

Suggested reference: Steven Brint, Kerry Mulligan, Matthew B. Rotondi, and Jacob Apkarian. 2011. The Institutional Data Archive on American Higher Education, 1970-2010. Riverside, CA: University of California, Riverside.

B. The College Catalog Study Database

The College Catalog Study (CCS) Database includes data on 286 four-year colleges and universities, a subset of institutions drawn from the Institutional Data Archive. The database includes every change in major academic units (schools and colleges), departments in arts and sciences, departments in professional schools, interdisciplinary degree-granting programs, and general education requirements over a 35-year period, 1975-6 through 2010-1. For schools and departments, changes in structure were coded, including new units, name changes, splits in units, units moved to new schools, reconstituted units, consolidated units, departments becoming programs, and eliminated units. Coding is based on college catalogs obtained from CollegeSource, Inc.

As in IDA, the data are organized in a panel design, where measurements are taken at five-year intervals: 1975-76, 1980-81, 1985-86, 1990-91, 1995-96, and 2000-01, 2005-06, and 2010-11.   Data were collected on every IDA institution for which a full set of catalogs was available. In cases in which data were not available for a target year, catalogs from the adjacent later year were used. The larger and more complex institutions, and those with difficult-to-interpret catalogs, were coded independently by two coders.

CCS data can be easily merged with IDA through unique institutional identifiers used in both databases. 

The National Science Foundation, the Spencer Foundation, and the Atlantic Philanthropies provided support for the construction of the College Catalog Study Database.

Suggested reference: Steven Brint, Kerry Mulligan, Matthew B. Rotondi, and Jacob Apkarian. 2011. The College Catalog Study Database, 1975-2010. Riverside, CA: University of California, Riverside.

 
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