PLS-SEM : prediction-oriented solutions for HRD researchers
| Year of publication: |
2023
|
|---|---|
| Authors: | Legate, Amanda E. ; Hair, Joseph F. ; Chretien, Janice Lambert ; Risher, Jeffrey J. |
| Published in: |
Human resource development quarterly. - San Francisco, Calif. : Jossey-Bass, ISSN 1532-1096, ZDB-ID 2045544-6. - Vol. 34.2023, 1, p. 91-109
|
| Subject: | confirmatory composite analysis | human resource development | partial least squares | PLS-SEM | variance-based SEM | Personalentwicklung | Human resource development | Partielle kleinste Quadrate | Partial least squares | Theorie | Theory | Humanressourcen | Human resources |
-
PLS-SEM : a method demonstration in the R statistical environment
Legate, Amanda E., (2024)
-
Confirmatory composite analysis using partial least squares : setting the record straight
Schuberth, Florian, (2021)
-
Uraon, Ram Shankar, (2018)
- More ...
-
PLS-SEM : a method demonstration in the R statistical environment
Legate, Amanda E., (2024)
-
When to Use and How to Report the Results of PLS-SEM
Hair, Joseph F., (2019)
-
A taxonomy for financial services selling
Hain, Joie S., (2019)
- More ...