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 ...

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 of structural equation modeling ...

This software specialises in three areas: models with responses at several levels of a data hierarchy, multilevel structural equation models, and measurement error ...

Consider fitting a linear equation to two observed variables, Y and X. Simple linear regression uses the model of a particular form, labeled for purposes of ...

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 ...

Status, Challenges, and Enhancement Strategies. Open Journal of Social Sciences, 14, 109-128. doi: 10.4236/jss.2026.143008 . Amidst the sweeping wave of global digital transformation in education, ...

This course consists of two sections: Section 1 demonstrates linear regression to model the linear relationship between a response and predictor(s) when both the response and predictors are continuous ...

Mysore/Mysuru: The Teresian College Research Centre (Commerce), in association with IQAC, Teresian College, Mysuru, has organised a National Workshop on ‘Structural Equation Modelling’ at the Ave ...