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Preliminary Face and Construct Validation Study of a Virtual Basic Laparoscopic Skill Trainer
Author(s) -
Ganesh Sankaranarayanan,
Henry Lin,
Venkata S. Arikatla,
Maureen Mulcare,
Likun Zhang,
Alexandre Derevianko,
Robert B. Lim,
David Fobert,
Caroline G. L. Cao,
Steven D. Schwaitzberg,
Daniel B. Jones,
Suvranu De
Publication year - 2010
Publication title -
journal of laparoendoscopic and advanced surgical techniques
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.588
H-Index - 59
eISSN - 1557-9034
pISSN - 1092-6429
DOI - 10.1089/lap.2009.0030
Subject(s) - construct validity , likert scale , task (project management) , face validity , trainer , construct (python library) , content validity , avatar , medicine , computer science , psychology , human–computer interaction , psychometrics , clinical psychology , developmental psychology , operating system , management , programming language , economics
The Virtual Basic Laparoscopic Skill Trainer (VBLaST) is a developing virtual-reality-based surgical skill training system that incorporates several of the tasks of the Fundamentals of Laparoscopic Surgery (FLS) training system. This study aimed to evaluate the face and construct validity of the VBLaST system.

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