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Correlation Parametric and Nonparametric Measures

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ISBN-10: 0761922288

ISBN-13: 9780761922285

Edition: 2002

Authors: Peter Y. Chen, Paula M. Popovich

List price: $42.00
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Description:

The authors equip the reader on how to compare and distinguish the concepts of similarity and relationship, identify the distinction between correlation and causation and to interpret correlations correctly.
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Book details

List price: $42.00
Copyright year: 2002
Publisher: SAGE Publications, Incorporated
Publication date: 6/12/2002
Binding: Paperback
Pages: 104
Size: 5.30" wide x 8.30" long x 0.30" tall
Weight: 0.242
Language: English

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 productivity, and optimizing individual potentials to pursue healthier, more…    

Introduction
Characteristics of a Relationship
Correlation and Causation
Correlation and Causation
Correlation and Correlational Methods
Choice of Correlation Indexes
The Pearson Product-Moment Correlation
Interpretation of Pearson r
Assumptions of Pearson r in Inferential Statistics
Sampling Distributions of the Pearson r
Properties of the Sampling Distribution of the Pearson
Null Hypothesis Tests of r = 0
Null Hypothesis Tests of r = r�
Confidence Intervals of r
Null Hypothesis Test of r1 = r2
Null Hypothesis Test for the Difference Among More Than Two Independent r's
Null Hypothesis Test for the Difference Between Two Dependent Correlations
Special Cases of The Pearson r
Point-Biserial Correlation, rpb
Phi Coefficient, f
Spearman Rank-Order Correlation, rrank
True vs. Artificially Converted Scores
Biserial Coefficient,
Tetrachoric Coefficient,
Eta Coefficient,
Other Special Cases of the Pearson r
Applications of the Pearson r
Effect Size
Power Analysis
Meta-Analysis
Utility Analysis
Reliability Estimates
Validation
Factors Affecting the Size and Interpretation of the Pearson r
Shapes of Distributions
Sample Size
Outliers
Restriction of Range
Nonlinearity
Aggregate Samples
Ecological Inference
Measurement Error
Third Variables
Other Useful Nonparametric Correlations
C and Cram�r's V Coefficients
Kendall's t Coefficient
Kendall's tb and Stuart's tc Coefficients
Goodman-Kruskal's g Coefficient
Kendall's Partial Rank-Order Correlation,
References
Lists of Tables
Lists of Figures
List of Appendixes
About the Authors