New Data on the Publishing Productivity of American Sociologists
Principal Investigator(s): View help for Principal Investigator(s) Esther Isabelle Wilder, Lehman College, The City University of New York; William H. Walters, Manhattan College
Version: View help for Version V1
Name | File Type | Size | Last Modified |
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application/vnd.openxmlformats-officedocument.spreadsheetml.sheet | 1.5 MB | 06/12/2020 12:48:PM |
Project Citation:
Wilder, Esther Isabelle, and Walters, William H. New Data on the Publishing Productivity of American Sociologists. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2020-06-12. https://doi.org/10.3886/E119867V1
Project Description
Summary:
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This data file, compiled from multiple online sources,
presents 2013–2017 publication counts—articles, articles in high-impact
journals, books, and books from high-impact publishers—for 2,132 professors and
associate professors in 426 U.S. departments of sociology. It also includes information on institutional
characteristics (e.g., institution type, highest sociology degree offered,
department size) and individual characteristics (e.g., academic rank, gender,
PhD year, PhD institution).
The data may be useful for investigations of scholarly productivity, the correlates of scholarly productivity, and the contributions of particular individuals and institutions.
Complete population data are presented for the top 26 doctoral programs, doctoral institutions other than R1 universities, the top liberal arts colleges, and other bachelor's institutions. Sample data are presented for Carnegie R1 universities (other than the top 26) and master's institutions.
All the data were compiled from publicly available sources, and the data collection process did not involve interaction with human subjects.
The data may be useful for investigations of scholarly productivity, the correlates of scholarly productivity, and the contributions of particular individuals and institutions.
Complete population data are presented for the top 26 doctoral programs, doctoral institutions other than R1 universities, the top liberal arts colleges, and other bachelor's institutions. Sample data are presented for Carnegie R1 universities (other than the top 26) and master's institutions.
All the data were compiled from publicly available sources, and the data collection process did not involve interaction with human subjects.
Funding Sources:
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None.
Scope of Project
Subject Terms:
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articles;
books;
faculty;
institution type;
productivity;
sociology
Geographic Coverage:
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United States
Time Period(s):
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1/1/2013 – 12/31/2017
Collection Date(s):
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1/1/2018 – 8/31/2018
Universe:
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Full and associate professors of sociology at four-year public and private nonprofit colleges
and universities in the United States.
Data Type(s):
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administrative records data
Methodology
Sampling:
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Complete population data are presented for universities with top-26 doctoral programs in sociology, doctoral institutions other than Carnegie R1 universities, top-50 liberal arts colleges, and other bachelor's institutions. The data for Carnegie R1
universities (other than the top 26) and master's institutions include roughly 47% and 27%
of the corresponding populations.
Data Source:
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Data on publishing productivity were compiled chiefly from SocINDEX and Amazon.com. Other data sources include IPEDS (National Center for Education
Statistics), university web sites, personal web sites, publishers' web sites,
course catalogs, Google Scholar, LinkedIn, OCLC
WorldCat, ProQuest Dissertation Express, and RateMyProfessors.
Collection Mode(s):
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other
Weights:
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The data file does not include weights. However, it is necessary to apply case weights when estimating
population values, since the file provides sample rather than population data for two of the six institution types. Weights of 2.1198 for the R1 group, 3.7574 for the M
group, and 1.0 for the other four groups will result in unbiased estimates for
the population (all institution types combined). To construct a sample that is representative
of the entire population without inflating the sample size—when undertaking
significance tests, for instance—use case weights of 1.2201 for R1, 2.1628 for
M, and 0.5756 for all other cases.
Unit(s) of Observation:
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Individuals. In the Sampling and Individuals worksheets, each row is an individual. However, in the Articles and Books worksheets, each row is a single publication. In the Departments worksheet, each row is an academic department/institution.
Related Publications
Published Versions
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This material is distributed exactly as it arrived from the data depositor. ICPSR has not checked or processed this material. Users should consult the investigator(s) if further information is desired.