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Bivariate Common Pathway Model Example for Observed Variables

This document presents an illustrative example of a Bivariate Common Pathway Model, focusing on four observed variables: MZ, DZ, and latent variable interactions. It outlines the structural equation modeling process, illustrating pathways and dependencies among variables, which can be vital for understanding relationships in behavioral genetics and other fields. The example aims to simplify complex model interpretations, offering insights into data analysis and variable interactions for researchers and practitioners in psychology and related domains.

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Bivariate Common Pathway Model Example for Observed Variables

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  1. MZ 1.0/DZ 0.5 MZ 1.0/DZ 0.5 1.0 1.0 rE rE rC rC rG rG Cc1 Ec1 Ac2 Cc2 Ec2 Cc1 Ec1 Ac2 Cc2 Ec2 Ac1 Ac1 Latent 1 T1 Latent 2 T1 Latent 1 T2 Latent 2 T2 A T1 B T1 C T1 D T1 A T2 B T2 C T2 D T2 Es1 Es2 Es3 Es4 Es1 Es2 Es3 Es4 Cs1 Cs2 Cs3 Cs4 Cs1 Cs2 Cs3 Cs4 As1 As2 As3 As4 As1 As2 As3 As4 MZ 1.0/DZ 0.5 1.0 Bivariate Common Pathway Model (Example for 4 observed Variables) 03/14/03; Heike Wolf

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