Correcting measures of relationship betweeen aggregate-level variables for both unreliability and correlated errors: An empirical example

Many social scientists conducting macro-level analyses use aggregate-level variables (weighted sums of the characteristics of the individuals within the macro-level units: e.g., means, percents, or rates) to describe macro-level units (e.g., schools, cities, or states). Researchers have long known t...

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Bibliographic Details
Published inSocial science research Vol. 27; no. 2; p. 218
Main Author O Brien, Robert M
Format Journal Article
LanguageEnglish
Published San Diego Academic Press 01.06.1998
Subjects
Measurement
Social research
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Summary:Many social scientists conducting macro-level analyses use aggregate-level variables (weighted sums of the characteristics of the individuals within the macro-level units: e.g., means, percents, or rates) to describe macro-level units (e.g., schools, cities, or states). Researchers have long known that aggregate-level variables are likely to be more reliable than individual-level variables.
ISSN:0049-089X
1096-0317