Partial Least Squares Path Modeling
GPTKB entity
Statements (35)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
statistical analysis
|
| gptkbp:advantage |
works with small sample sizes
does not require normality handles complex models |
| gptkbp:alsoKnownAs |
PLS-PM
|
| gptkbp:application |
psychology
social sciences information systems marketing research management research |
| gptkbp:assumes |
non-parametric
predictive orientation |
| gptkbp:component |
inner model
outer model weight relations |
| gptkbp:contrastsWith |
covariance-based SEM
|
| gptkbp:developedBy |
gptkb:Herman_Wold
|
| gptkbp:estimatedCost |
latent variable scores
outer loadings outer weights path coefficients |
| https://www.w3.org/2000/01/rdf-schema#label |
Partial Least Squares Path Modeling
|
| gptkbp:inferenceMethod |
iterative algorithm
|
| gptkbp:introducedIn |
1970s
|
| gptkbp:relatedTo |
gptkb:Structural_Equation_Modeling
Partial Least Squares Regression |
| gptkbp:software |
gptkb:ADANCO
gptkb:PLS-Graph gptkb:SmartPLS R package plspm |
| gptkbp:usedFor |
multivariate analysis
structural equation modeling latent variable modeling |
| gptkbp:bfsParent |
gptkb:PLS_path_modeling
|
| gptkbp:bfsLayer |
8
|