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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 2 July 2026

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