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Book 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 details

Book category Books in English Society & social sciences Sociology & anthropology Sociology

• Full title: Correlation
• Subtitle: Parametric and Nonparametric Measures
• Author: Peter Y. Chen, Paula M. Popovich
• Language: English
• Binding: Paperback
• Number of pages: 104
• EAN: 9780761922285
• ISBN: 0761922288
• ID: 04684246
• Publisher: SAGE Publications Inc
• Weight: 128 g
• Dimensions: 213 × 141 × 6 mm
• Date of publishing: 30. July 2002

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