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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Published in | Social science research Vol. 27; no. 2; p. 218 |
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Main Author | |
Format | Journal Article |
Language | English |
Published |
San Diego
Academic Press
01.06.1998
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Subjects | |
Online Access | Get full text |
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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. |
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ISSN: | 0049-089X 1096-0317 |