z-logo
open-access-imgOpen Access
Rasch analysis of the Antimicrobial Self-Assessment Toolkit for National Health Service (NHS) Trusts (ASAT v17)
Author(s) -
Chantelle Bailey,
Mary P. Tully,
María Pampaka,
Jonathan Cooke
Publication year - 2016
Publication title -
journal of antimicrobial chemotherapy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.124
H-Index - 194
eISSN - 1460-2091
pISSN - 0305-7453
DOI - 10.1093/jac/dkw434
Subject(s) - rasch model , respondent , statistics , scale (ratio) , psychology , descriptive statistics , predictive validity , mathematics , geography , cartography , political science , law
The Antimicrobial Self-Assessment Toolkit for National Health Service (NHS) Trusts (ASAT) was developed to evaluate hospital-based antimicrobial stewardship programmes. Iterative validity investigations of the ASAT were used to produce a 91-item ASAT v17 utilizing qualitative methodology. Rasch analysis was used to generate question (item) behaviour estimates and to investigate the validity of ASAT v17.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom