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Correlation

Correlation

Parametric and Nonparametric Measures

by Paula M. Popovich and Peter Y. Chen
Paperback
Publication Date: 30/07/2002

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Correlation equips 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. Correlation: - examines Pearson r from its conceptual meaning to its assumptions - demonstrates how to use the Pearson r in research (including effect size, power analysis, meta-analysis, utility analysis, reliability estimates and validation) - explains the factors that affect the Pearson r
ISBN:
9780761922285
9780761922285
Category:
Social research & statistics
Format:
Paperback
Publication Date:
30-07-2002
Language:
English
Publisher:
SAGE Publications Inc
Country of origin:
United States
Pages:
104
Dimensions (mm):
215x139x6mm
Weight:
0.11kg

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