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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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | International Journal of Food Science |
| Online Access: | http://dx.doi.org/10.1155/2014/121269 |
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| _version_ | 1849683712165281792 |
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| author | Abraham Owino Ronald Wesonga Fabian Nabugoomu |
| author_facet | Abraham Owino Ronald Wesonga Fabian Nabugoomu |
| author_sort | Abraham Owino |
| collection | DOAJ |
| 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. |
| format | Article |
| id | doaj-art-cf5e8ad035a84853ab20731521e1d153 |
| institution | DOAJ |
| issn | 2356-7015 2314-5765 |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Food Science |
| spelling | doaj-art-cf5e8ad035a84853ab20731521e1d1532025-08-20T03:23:43ZengWileyInternational 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 |
| 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 |
| title | 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_short | 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 |
| url | http://dx.doi.org/10.1155/2014/121269 |
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