Structural equation modeling (SEM) encompasses such diverse statistical techniques as path analysis, confirmatory factor analysis, causal modeling with latent variables, and even analysis of variance ...

Bayesian methods in Structural Equation Modeling (SEM) represent a paradigm shift in statistical analysis, integrating prior beliefs with empirical data to derive robust parameter estimates. This ...

Latent factors are variables that cannot be observed directly but can be inferred from a set of observable variables. For example, in psychology, bad conduct (latent factor) can be measured by how ...

Regularized estimation methods have become increasingly popular with the advent of 'Big Data' and machine learning methods. Regularized estimation purposefully introduces a small bias in order to ...

Structural equation modeling (SEM) is a powerful statistical approach for the testing of networks of direct and indirect theoretical causal relationships in complex data sets with intercorrelated ...

Citations: Anderson, James. 1988. Structural Equation Modeling in Practice: A Review and Recommended Two-Step Approach. Psychological Bulletin. (3)411-423.

Occupational and Environmental Medicine (OEM) is an international peer reviewed journal concerned with areas of current importance in occupational medicine and environmental health issues throughout ...

Kline, R. B. (in production). Get ready for data science: A primer for social and behavioral scientists. Guilford Press. Kline, R. B. (2023). Principles and practice ...

Parents' attachment style may be linked with risk of parental burnout. Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing ...