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Correlation Parametric and Nonparametric Measures

by Peter Y. Chen, Paula M. Popovich

Part of the Quantitative Applications in the Social Sciences Series

Correlation Parametric and Nonparametric Measures Synopsis

How can correlation be more effectively used so that one does not misinterpret the data? This book reveals how to do this by examining Pearson r from its conceptual meaning, to assumptions, special cases of the Pearson r, the biserial coefficient and tetrachoric coefficient estimates of the Pearson r, its uses in research (including effect size, power analysis, meta-analysis, utility analysis, reliability estimates and validation), factors that affect the Pearson r, and finally to additional nonparametric correlation indexes. After reading this book, the reader will be able to compare and distinguish the concepts of similarity and relationship, identify the distinction between correlation and causation and to interpret correlations correctly.

Book Information

ISBN: 9780761922285
Publication date: 30th July 2002
Author: Peter Y. Chen, Paula M. Popovich
Publisher: SAGE Publications Inc
Format: Paperback / softback
Pagination: 104 pages
Categories: Social research & statistics,

About Peter Y. Chen, Paula M. Popovich

The goals of my research programs are to improve the quality of individual well-being, and to build a healthy workplace and society that enhance the safety and health of workers and their families. A healthy workplace or a healthy society is one in which all constituents are able to exercise their talents and gifts to achieve high performance as well as maintain psychological and physical well-being. In order to understand how to effectively build a healthy society and a healthy organization, I have taken an interdisciplinary approach over years to explore the ways of maximizing organizational as well as societal ...

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