Partial Least Square Structural Equation Modeling (PLS-SEM) is a statistical multivariate analysis method which combines linear relationship and regression analysis methodologies.
analysing with amos, SEM modulePath analysis model is a statistical method used for establishing a causal relationship between variables. It is used when there are multiple variables in a study.
analysing with amos, SEM moduleConfirmatory Composite Analysis (CCA) is a type of Structural Equation Modeling (SEM) analysis which develops composites to assess the relationship between variables.
analysing with amos, SEM moduleThis article demonstrates through a case study how to build a Confirmatory factor analysis model in SPSS Amos software.
analysing with amos, SEM moduleThis article explains the procedures for importing data to Amos. A dataset can be imported to Amos in two ways.
analysing with amos, SEM moduleA number of tests such as maximum likelihood, generalized least squares, unweighted least squares, scale-free least squares, Bayesian estimation, and Browne’s asymptotically distributed free criterion can be easily applied in the SPSS Amos interface.
analysing with amos, SEM moduleSEM is used to build structural links between measured variables and latent constructs. This article provides a detailed description of the SEM analysis procedures.
analysing with amos, SEM moduleThe principles of validity and reliability in SEM are used to assess the quality of research. They reflect the accuracy with which a method, approach, or test measures a problem.
analysing with amos, research validity, SEM module