Using Rasch Modeling to Re-Evaluate Rapid Malaria Diagnosis Test Analyses

The objective of this study was to demonstrate the use of the Rasch model by assessing the appropriateness of the demographic, social-economic and geographic factors in providing a total score in malaria RDT in accordance with the model’s expectations. The baseline malaria indicator survey was condu...

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Autores principales: Ayele, Dawit G., Zewotir, Temesgen, Mwambi, Henry
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2014
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4113837/
https://www.ncbi.nlm.nih.gov/pubmed/24972031
http://dx.doi.org/10.3390/ijerph110706681
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author Ayele, Dawit G.
Zewotir, Temesgen
Mwambi, Henry
author_facet Ayele, Dawit G.
Zewotir, Temesgen
Mwambi, Henry
author_sort Ayele, Dawit G.
collection PubMed
description The objective of this study was to demonstrate the use of the Rasch model by assessing the appropriateness of the demographic, social-economic and geographic factors in providing a total score in malaria RDT in accordance with the model’s expectations. The baseline malaria indicator survey was conducted in Amhara, Oromiya and Southern Nation Nationalities and People (SNNP) regions of Ethiopia by The Carter Center in 2007. The result shows high reliability and little disordering of thresholds with no evidence of differential item functioning.
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spelling pubmed-41138372014-07-29 Using Rasch Modeling to Re-Evaluate Rapid Malaria Diagnosis Test Analyses Ayele, Dawit G. Zewotir, Temesgen Mwambi, Henry Int J Environ Res Public Health Article The objective of this study was to demonstrate the use of the Rasch model by assessing the appropriateness of the demographic, social-economic and geographic factors in providing a total score in malaria RDT in accordance with the model’s expectations. The baseline malaria indicator survey was conducted in Amhara, Oromiya and Southern Nation Nationalities and People (SNNP) regions of Ethiopia by The Carter Center in 2007. The result shows high reliability and little disordering of thresholds with no evidence of differential item functioning. MDPI 2014-06-26 2014-07 /pmc/articles/PMC4113837/ /pubmed/24972031 http://dx.doi.org/10.3390/ijerph110706681 Text en © 2014 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
Ayele, Dawit G.
Zewotir, Temesgen
Mwambi, Henry
Using Rasch Modeling to Re-Evaluate Rapid Malaria Diagnosis Test Analyses
title Using Rasch Modeling to Re-Evaluate Rapid Malaria Diagnosis Test Analyses
title_full Using Rasch Modeling to Re-Evaluate Rapid Malaria Diagnosis Test Analyses
title_fullStr Using Rasch Modeling to Re-Evaluate Rapid Malaria Diagnosis Test Analyses
title_full_unstemmed Using Rasch Modeling to Re-Evaluate Rapid Malaria Diagnosis Test Analyses
title_short Using Rasch Modeling to Re-Evaluate Rapid Malaria Diagnosis Test Analyses
title_sort using rasch modeling to re-evaluate rapid malaria diagnosis test analyses
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4113837/
https://www.ncbi.nlm.nih.gov/pubmed/24972031
http://dx.doi.org/10.3390/ijerph110706681
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