Using Item Response Theory to Understand Item-Nonresponse (Missing Data) in Ghanaian Surveys

Using Item Response Theory to Understand Item-Nonresponse (Missing Data) in Ghanaian Surveys

Abdul Iddrisu Wahab

After reviewing the theoretical and empirical literature on Item Response Theory (IRT) and Item-Nonresponse, this study investigates three issues: Firstly, to identify the most appropriate IRT model for understanding item-nonresponse. Secondly, to find out the reason behind ''don't know'' responses and missing data; whether respondents don‟t really know, don‟t care, or don‟t want to tell. Finally, to find out the characteristics of nonrespondents in Ghanaian surveys. Secondary analyses were done on questionnaire data collected in the 5th wave of the world values survey. All items were dichotomously scored. 0 was assigned to missing or „don‟t know‟ responses, and 1 was assigned to answered items. The data was analysed based on four item response theory models namely, the constrained Rasch model, the unconstrained Rasch model, the two parameter logistic model, and the three parameter logistic model …

2012

https://scholar.google.com/citations?view_op=view_citation&hl=en&user=ECTxVnYAAAAJ&cstart=20&pagesize=80&citation_for_view=ECTxVnYAAAAJ:LkGwnXOMwfcC

English