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Understanding Correlation Matrices (Paperback)
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Understanding Correlation Matrices (Paperback)
Series: Quantitative Applications in the Social Sciences
Expected to ship within 12 - 17 working days
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Correlation matrices (along with their unstandardized counterparts,
covariance matrices) underlie the majority the statistical methods
that researchers use today. A correlation matrix is more than a
matrix filled with correlation coefficients. The value of one
correlation in the matrix puts constraints on the values of the
others, and the multivariate implications of this statement is a
major theme of the volume. Alexandria Hadd and Joseph Lee Rodgers
cover many features of correlations matrices including statistical
hypothesis tests, their role in factor analysis and structural
equation modeling, and graphical approaches. They illustrate the
discussion with a wide range of lively examples including
correlations between intelligence measured at different ages
through adolescence; correlations between country characteristics
such as public health expenditures, health life expectancy, and
adult mortality; correlations between well-being 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. This volume may be used effectively
across a number of disciplines in both undergraduate and graduate
statistics classrooms, and also in the research laboratory.
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