Structural Equation Modeling for Health and Medicine

Part I Introduction to Concepts and Principles of Structural Equation Modeling for Health and Medical Research

1. Introduction and Brief History of Structural Equation Modeling for Health and Medical Research
2. Vocabulary, Concepts and Usages of Structural Equation Modeling

Part II Theory of Structural Equation Modeling

3 The Form of Structural Equation Models
4 Model Estimation and Evaluation
5 Model Identifiability and Equivalence

Part III Applications and Examples of Structural Equation Modeling for Health and Medical Research

6 Choosing Among Competing Specifications
7 Measurement Models for Patient-Reported Outcomes and Other Health-related Outcomes
8 Exploratory Factor Analysis
9 Mediation and Moderation
10 Measurement Bias, Multiple Indicator Multiple Cause Modeling and Multiple Group Modeling
11 Latent Class Analysis
12 Latent Profile Analysis
13 Structural Equation Modeling with Longitudinal Data
14 Growth Mixture Modeling
15 Special Topics

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• Metodologia psicológica
• Probabilidade e Estatística
• Epidemiologia e estatística médica

PHQ-9 Item;latent;Latent Variable Mixture Modeling;multivariate;PHQ-9 Total Score;factor analysis;Mimic;multiple regression;Growth Mixture Modeling;measurement error;Path Diagram;causal;SEM Framework;Linear structural relations;Categorical Latent Variable;Health and medicine;Latent Variables;Confirmatory factor analysis;SEM Analysis;Structural equation modeling;Bifactor Model;Multinomial regression;Mimic Model;Linear Latent Growth Model;Latent Class Membership;Chi Square Test Statistic;Latent Class Variable;Posterior Class Membership Probabilities;Conduct SEM Analysis;FIML Procedure;Latent Class;Multigroup CFA;Latent Profile Analysis;Data Set;Measurement Model;LGM