# Category: Structural equation models

Structural equation modeling
Structural equation modeling (SEM) is a label for a diverse set of methods used by scientists in both experimental and observational research across the sciences, business, and other fields. It is use
Causality (book)
Causality: Models, Reasoning and Inference (2000; updated 2009) is a book by Judea Pearl. It is an exposition and analysis of causality. It is considered to have been instrumental in laying the founda
Latent growth modeling
Latent growth modeling is a statistical technique used in the structural equation modeling (SEM) framework to estimate growth trajectories. It is a longitudinal analysis technique to estimate growth o
Path analysis (statistics)
In statistics, path analysis is used to describe the directed dependencies among a set of variables. This includes models equivalent to any form of multiple regression analysis, factor analysis, canon
Confirmatory factor analysis
In statistics, confirmatory factor analysis (CFA) is a special form of factor analysis, most commonly used in social research. It is used to test whether measures of a construct are consistent with a
Path coefficient
Path coefficients are standardized versions of linear regression weights which can be used in examining the possible causal linkage between statistical variables in the structural equation modeling ap
Discrepancy function
In structural equation modeling, a discrepancy function is a mathematical function which describes how closely a structural model conforms to observed data; it is a measure of goodness of fit. Larger
Cross-lagged panel model
The cross-lagged panel model is a type of discrete time structural equation model used to analyze panel data in which two or more variables are repeatedly measured at two or more different time points
Confirmatory composite analysis
In statistics, confirmatory composite analysis (CCA) is a sub-type of structural equation modeling (SEM).Although, historically, CCA emerged from a re-orientation and re-start of partial least squares
OpenMx
OpenMx is an open source program for extended structural equation modeling. It runs as a package under R. Cross platform, it runs under Linux, Mac OS and Windows.
Partial least squares path modeling
The partial least squares path modeling or partial least squares structural equation modeling (PLS-PM, PLS-SEM) is a method for structural equation modeling that allows estimation of complex cause-eff
Barbara M. Byrne
Barbara M. Byrne (February 21,1935 - December 19, 2020) was a Canadian quantitative psychologist known for her work in psychometrics, specifically regarding construct validity, structural equation mod
Structural Equations with Latent Variables
Structural Equations with Latent Variables is a statistics textbook by Kenneth Bollen containing ideas and methods in the field of structural equation modeling. Structural Equations with Latent Variab