Understanding Correlation Matrices
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Publication
2021 - SAGE Publications, Incorporated
Language
English
Word Count
29,500 words, Guess
Page Count
118 pages
Identifiers
- Open LibraryOL34679795M
- ISBN-139781544341095
- OCLC Control Number1182020406
- Library of Congress Control Number2020031187
Classifications
- LCCHA31.3.H333 2020
Description
"Correlation matrices (along with their unstandardized counterparts, covariance matrices) underlie much of the statistical machinery in common use today. A correlation matrix is more than a matrix filled with correlation coefficients. The value of one coefficient in the matrix puts constraints on the values of the others, and this is a major theme of the volume. The volume is written accessibly, and key points are illustrated with a wide range of lively examples, including correlations between intelligence measured at different ages through adolescence; correlations between public health expenditures, health life expectancy, adult mortality, and other country characteristics; correlations between wellbeing and state-level vital statistics; correlations between the racial composition of cities and professional sports teams; and correlations between childbearing intentions and childbearing outcomes over the reproductive life course"--
Subjects
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