To find the appropriate statistical test for your research, select an SPSS Statistics tutorial from the menu above.
Handling statistical data is an essential part of research. However, many people find the idea of using statistics and especially statistical software packages, extremely daunting. This free course, Getting started with SPSS, takes a step-by-step approach to statistics software.
Partial least squares structural equation modeling (PLS-SEM) allows analyzing complex inter-relationships between observed and latent variables. PLS is largely a nonparametric approach to modeling, not assuming normal distributions in the data, often recommended when the focus of research is prediction rather than hypothesis testing, when sample size is not large, or in the presence of noisy data. Compared to other methods, PLS-SEM offers much flexibility in terms of modeling and data requirements.
WarpPLS identifies nonlinear relationships among latent variables and corrects the values of path coefficients accordingly.
ADANCO is a user-friendly software for composite-based structural equation modeling. It implements several limited-information estimators.