Aggregate data: analysis and interpretation
Edgar F. Borgatta, David J. Jackson
Sage Publications, Jan 1, 1980 - Social Science - 192 pages
The use of aggregate data in social science research is a controversial topic. It has the advantage of not requiring time-consuming and costly original field research, relying instead on previously accumulated information from censuses, voter registrations and other sources. Yet it has been shown that the results of studies using aggregate data can be tenuous, at least on an individual level. Many of the contributions to this collection of essays first appeared in 1979 issues of Sociological Methods and Research. They focus on the nature of measurement for aggregated data and many of its possibilities and hazards.
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EDGAR F BORGATTA
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aggregate data aggregate level alternative Amer appropriate areas associated assumption behavior bias ratios biased causal census tract characteristics choice of standard concept contextual analysis contextual effects contingency table correlated denominators covariance analysis demographic dependent variable difference score discussed ecological correlation endogenous feedback model equation error estimates example exogenous variables factor analysis factorial ecology group effect group mean heteroscedasticity household income independent indicators individual level individual-level interaction interpretation labor force linear additive linear models log-likelihood ratio test log-linear models logit longitudinal marital duration marital status matrix mean parity mean square error measures methods migration multicollinearity multivariate partial correlation path analysis population probit model problem of correlated procedures processes proportions ratio variables regression coefficients relationship residual sample Schuessler social science Sociology specification spurious standard distribution standardized means statistical student sum of squares Table tion total correlation variance weighted zero order