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Ecological Regression and the Analysis of past Politics

Datos Bibliográficos

ID3336752
AutoresJ Morgan Kousser (0000-0001-5261-2859, California Institute of Technology, autor de correspondencia)
Año1973
Volumen4
Número2
Páginas237
Fecha de publicación1973-01-01
Peer ReviewedSí
Open AccessNo
TipoARTICLE
RevistaThe Journal of Interdisciplinary History (JOURNAL)
Identificadores de la revistaISSN: 0022-1953 • E-ISSN: 1530-9169
EditorialJSTOR (PUBLISHER)
DOI10.2307/202265
OpenAlexW2324218386
IdiomaEN
Citas recibidas27

Regression estimation of \ncell entries in contingency tables is among the most useful statistical \ntechniques for political historians. Developed in the 1950s by statisticians \nwho were attempting to circumvent the so-called "ecological \nfallacy," regression estimation has received a good deal of attention in \nother social scientific disciplines, but surprisingly little in history. In a \nrecent article in this journal, Jones provided a short introduction to the \ntechnique pioneered by Leo A. Goodman. In addition, Jones tested its \naccuracy by comparing survey results with estimates of voting behavior \nfrom the 1960 presidential election, and urged the historical profession \nto utilize the Goodman procedure. Although helpful as far as it goes, \nJones's paper does not treat the theory, mathematical background, and \nassumptions of the method in sufficient detail to enable historians to \nemploy it creatively. Nor does he offer the researcher advice on how to deal with typical difficulties which arise in an actual analysis of past \ndata-for example, the problems of nonlinearity and logically impossible \nestimates

Biology · Geography · Political science · Politics · Regression · Regression analysis · Statistics · Census and Population Estimation · Ecology · Environmental Science · Historical Economic and Social Studies · Law · Mathematics · Social and Cultural Dynamics

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Obras citantes distintas27
Citas por año0,53
Intervalo de citas1975 - 2026 (52)
Velocidad de citacióncurrent
Altamente citadoNo
Tipos de citaNeutras: 23
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