J Mary Jones1. 1. Mathematics Department, Keele University, Keele, Staffordshire, United Kingdom. j.m.jones@maths.keele.ac.uk
Abstract
OBJECTIVE: The aim of this paper is to address the design and analysis of studies for evaluating the reliability of a nutritional screening or assessment tool. METHODS: Statistical aspects of reliability are discussed with the non-statistician in mind. Design issues are considered in relation to numbers of raters and subjects and to the appropriateness of raters. The analysis of data to obtain a measure of reliability and its confidence interval is illustrated with examples. Practical suggestions regarding the implementation of reliability studies in the field of nutritional risk assessment are proposed. CONCLUSION: Guidelines for the standardization of the design, analysis, and publication of results are presented.
OBJECTIVE: The aim of this paper is to address the design and analysis of studies for evaluating the reliability of a nutritional screening or assessment tool. METHODS: Statistical aspects of reliability are discussed with the non-statistician in mind. Design issues are considered in relation to numbers of raters and subjects and to the appropriateness of raters. The analysis of data to obtain a measure of reliability and its confidence interval is illustrated with examples. Practical suggestions regarding the implementation of reliability studies in the field of nutritional risk assessment are proposed. CONCLUSION: Guidelines for the standardization of the design, analysis, and publication of results are presented.
Authors: F Zaherah Mohamed Shah; H-S Suraiya; P J-H Poi; K S Tan; P S M Lai; K Ramakrishnan; S Mahadeva Journal: J Nutr Health Aging Date: 2012-08 Impact factor: 4.075
Authors: Hans Morten Lossius; Andreas J Krüger; Kjetil Gorseth Ringdal; Stephen J M Sollid; David J Lockey Journal: Scand J Trauma Resusc Emerg Med Date: 2013-11-26 Impact factor: 2.953