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Structural equation modeling is fraught with controversies. Researchers from the factor analytic tradition commonly attempt to reduce sets of multiple indicators to fewer, more manageable, scales or factor-scores for later use in path-structured models.
The Newest addition is the SmartPLS4. The software released to the general public in 2022 is an easy to use tool for Structural Equation Modelling. To estimate the model in SmartPLS, the model has to be estimated at two levels that include the measurement model assessment and structural model assessment.
WarpPLS – statistics package used in structural equation modeling; Wolfram Language [6] – the computer language that evolved from the program Mathematica. It has similar statistical capabilities as Mathematica. World Programming System (WPS) – statistical package that supports the use of Python, R and SAS languages within a single user ...
SPSS Statistics is a statistical software suite developed by IBM for data management, advanced analytics, multivariate analysis, business intelligence, and criminal investigation. Long produced by SPSS Inc. , it was acquired by IBM in 2009.
LISREL (linear structural relations) is a proprietary statistical software package used in structural equation modeling (SEM) for manifest and latent variables. It requires a "fairly high level of statistical sophistication". [1]
SEM (Structural equation modeling): Evaluate latent data structures with Yves Rosseel's lavaan program. [9] Summary statistics: Apply common Bayesian tests from frequentist summary statistics for t-test, regression, and binomial tests. Survival Analyses: non- & semi-parametric; Time Series: Time series analysis.
Multilevel models are a subclass of hierarchical Bayesian models, which are general models with multiple levels of random variables and arbitrary relationships among the different variables. Multilevel analysis has been extended to include multilevel structural equation modeling , multilevel latent class modeling , and other more general models.
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 over a period of time. It is widely used in the field of psychology, behavioral science, education and social science.