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Chapter 1 CORRELATIONAL INFERENCE
Chapter 2 COVARIANCE ALGEBRA
Chapter 3 PRINCIPLES OF MODELING
Chapter 4 OBSERVED VARIABLES AS CAUSES
Chapter 5 ERROR AND THIRD VARIABLES
Chapter 6 RECIPROCAL CAUSATION
Chapter 7 SINGLE UNMEASURED VARIABLES
Chapter 8 MULTIPLE UNMEASURED VARIABLES
Chapter 9 HYBRID MODELS
Chapter 10 RANDOMIZED EXPERIMENTS
Chapter 11 NONEQUIVALENT GROUP DESIGN
Chapter 12 CLPC
Chapter 13 LOOSE ENDS
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Correlation And Causality
David A. Kenny
Storrs,
Connecticut
David A. Kenny
Storrs,
Connecticut
Table of Contents
Chapter 2 COVARIANCE ALGEBRA
Chapter 3 PRINCIPLES OF MODELING
Chapter 4 OBSERVED VARIABLES AS CAUSES
Chapter 5 ERROR AND THIRD VARIABLES
Chapter 6 RECIPROCAL CAUSATION
Chapter 7 SINGLE UNMEASURED VARIABLES
Chapter 8 MULTIPLE UNMEASURED VARIABLES
Chapter 9 HYBRID MODELS
Chapter 10 RANDOMIZED EXPERIMENTS
Chapter 11 NONEQUIVALENT GROUP DESIGN
Chapter 12 CLPC
Chapter 13 LOOSE ENDS
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