Suche
Anzeige der Dokumente 1-1 von 1
Aufsatz
The Impact of Missing Values on PLS, ML and FIML Model Fit
(2020)
Structural equation modelling has become widespread in the marketing research domain due to the possibility of creating and investigating latent constructs. Today, several estimation methods are available, each with strengths and drawbacks. This study investigates how the established estimation methods of partial-least-squares (PLS), maximum likelihood (ML) and full-information maximum likelihood (FIML) perform with an increasing percentage of missing values (MVs). The research was conducted by investigating an adapted ...