Determining Food Insecurity: An Application of the Rasch Model with Household Survey Data in Uganda

The inexplicable nature of food insecurity in parts of Uganda and worldwide necessitated an investigation into the nature, extent, and differentials of household food security. The main objective of this study was to examine the food security dynamics and model household food insecurity. The Rasch m...

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Main Authors: Abraham Owino, Ronald Wesonga, Fabian Nabugoomu
Format: Article
Language:English
Published: Hindawi Limited 2014-01-01
Series:International Journal of Food Science
Online Access:http://dx.doi.org/10.1155/2014/121269
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spelling doaj-cf5e8ad035a84853ab20731521e1d1532020-11-24T22:32:10ZengHindawi LimitedInternational Journal of Food Science2356-70152314-57652014-01-01201410.1155/2014/121269121269Determining Food Insecurity: An Application of the Rasch Model with Household Survey Data in UgandaAbraham Owino0Ronald Wesonga1Fabian Nabugoomu2School of Statistics and Planning, Makerere University, P.O. Box 7062, Kampala, UgandaSchool of Statistics and Planning, Makerere University, P.O. Box 7062, Kampala, UgandaKyambogo University, Kampala, UgandaThe inexplicable nature of food insecurity in parts of Uganda and worldwide necessitated an investigation into the nature, extent, and differentials of household food security. The main objective of this study was to examine the food security dynamics and model household food insecurity. The Rasch modelling approach was employed on a dataset from a sample of 1175 (Tororo = 577; Busia = 598) randomly selected households in the year 2010. All households provided responses to the food security questions and none was omitted from the analysis. At 5 percent level of significance the analysis indicated that Tororo district average food security assessment (0.137 ± 0.181) was lower than that for Busia district (0.768 ± 0.177). All the mean square fit statistics were in the range of 0.5 to 1.5, and none of them showed any signs of distortion, degradation, or less productivity for measurement. This confirmed that items used in this study were very productive for measurement of food security in the study area. The study recommends further analysis where item responses are ordered polytomous rather than the dichotomous item response functions used. Furthermore, consideration should be given to fit models that allow for different latent distributions for households with children and those without children and possibly other subgroups of respondents.http://dx.doi.org/10.1155/2014/121269
collection DOAJ
language English
format Article
sources DOAJ
author Abraham Owino
Ronald Wesonga
Fabian Nabugoomu
spellingShingle Abraham Owino
Ronald Wesonga
Fabian Nabugoomu
Determining Food Insecurity: An Application of the Rasch Model with Household Survey Data in Uganda
International Journal of Food Science
author_facet Abraham Owino
Ronald Wesonga
Fabian Nabugoomu
author_sort Abraham Owino
title Determining Food Insecurity: An Application of the Rasch Model with Household Survey Data in Uganda
title_short Determining Food Insecurity: An Application of the Rasch Model with Household Survey Data in Uganda
title_full Determining Food Insecurity: An Application of the Rasch Model with Household Survey Data in Uganda
title_fullStr Determining Food Insecurity: An Application of the Rasch Model with Household Survey Data in Uganda
title_full_unstemmed Determining Food Insecurity: An Application of the Rasch Model with Household Survey Data in Uganda
title_sort determining food insecurity: an application of the rasch model with household survey data in uganda
publisher Hindawi Limited
series International Journal of Food Science
issn 2356-7015
2314-5765
publishDate 2014-01-01
description The inexplicable nature of food insecurity in parts of Uganda and worldwide necessitated an investigation into the nature, extent, and differentials of household food security. The main objective of this study was to examine the food security dynamics and model household food insecurity. The Rasch modelling approach was employed on a dataset from a sample of 1175 (Tororo = 577; Busia = 598) randomly selected households in the year 2010. All households provided responses to the food security questions and none was omitted from the analysis. At 5 percent level of significance the analysis indicated that Tororo district average food security assessment (0.137 ± 0.181) was lower than that for Busia district (0.768 ± 0.177). All the mean square fit statistics were in the range of 0.5 to 1.5, and none of them showed any signs of distortion, degradation, or less productivity for measurement. This confirmed that items used in this study were very productive for measurement of food security in the study area. The study recommends further analysis where item responses are ordered polytomous rather than the dichotomous item response functions used. Furthermore, consideration should be given to fit models that allow for different latent distributions for households with children and those without children and possibly other subgroups of respondents.
url http://dx.doi.org/10.1155/2014/121269
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