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Analysis of 1st year mpharm at sussex university using partial least squares (pls) path model
- At: Glasgow (Scotland) (2018)
- Type: Poster
- Poster code: POS-APS-044
- By: MANFRIN, Andrea (Sussex University, Sussex Pharmacy)
- Co-author(s): Andrea Manfrin
Michael Pettit: Sussex Pharmacy, Sussex University, Falmer, Brighton, United Kingdom
Geeta Hitch: Sussex Pharmacy, Sussex University, Falmer, Brighton, United Kingdom
Alex Ralston: Sussex Pharmacy, Sussex University, Falmer, Brighton, United Kingdom
Tara Hadley: Sussex Pharmacy, Sussex University, Falmer, Brighton, United Kingdom
Amy Walker: Sussex Pharmacy, Sussex University, Falmer, Brighton, United Kingdom
Vicki Lean: Sussex Pharmacy, Sussex University, Falmer, Brighton, United Kingdom
Jill Merewood: Sussex Pharmacy, Sussex University, Falmer, Brighton, United Kingdom
Bugewa Apampa: Sussex Pharmacy, Sussex University, Falmer, Brighton, United Kingdom - Abstract:
Background
Sussex Pharmacy at the University of Sussex enrolled its first cohort of students in 2016-17. It was important to evaluate the key drivers (construct) of our course. Among the variance-based structural equation models (SEM), PLS path modelling is regarded as one of the most fully developed.
Methods
Thirty students completed the first year
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Last update 28 September 2023