Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Computer Routines for Arraying Aggregate Data

Bibliographic Data

ID6273022
AuthorsJohn Dow, J B Dow, Charles Lewis Taylor, Bruce Russett, Bruce M Russett, John D Sullivan (0009-0001-3760-9894)
Year1972
Volume16
Issue3
Pages389
Publication date1972-09-01
Open AccessNo
TypeARTICLE
VenueInternational Studies Quarterly (JOURNAL)
Journal identifiersISSN: 0020-8833 • E-ISSN: 1468-2478
PublisherOxford University Press (OUP) (PUBLISHER)
DOI10.2307/3013574
OpenAlexW2317247680
LanguageEN
Citations received1
References cited1

In recent years, political and social scientists have greatly expanded their data-collecting activities and have devoted considerable attention to various problems of measuring political and social concepts embedded in theoretical structures. One type of data which has been used more and more is commonly termed aggregate data. In general, this refers to characteristics of various types of political and social units and groups. In the fields of comparative and international politics, such factors as the absolute or per capita amount of money spent by a country on defense and various summary measures of political events such as elections, votes per political party, riots, and assassinations, are examples of aggregate statistics. One work in this area was the first edition of the World Handbook of Social and Political Indicators (Russett et al., 1964). The increased

Aggregate (composite · Aggregate data · Econometrics · Economics · Nanotechnology · Statistics · Computer Science · Materials Science · Mathematics · Opinion Dynamics and Social Influence

  • Identifying and Measuring Changes in the Frequency of Event Data

    Richard E Hayes•International Studies Quarterly•1973

  • World handbook of political and social indicators

    Bruce M Russett•World handbook of political and…•1977

Citations per year0.02
Citation span1973 - 1973 (1)
Highly citedNo

Tools

Open DOISci-Hub
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae