The effect of the mechanism and amount of missingness on subset correspondence analysis |
| |
| Authors: | Gillian M. Hendry Temesgen Zewotir Rajen N. Naidoo Delia North |
| |
| Affiliation: | 1. School of Mathematics, Statistics and Computer Science, University of KwaZulu-Natal, Westville Campus, University Road, Westville, Durban, South Africa;2. Discipline of Occupational and Environmental Health, School of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa |
| |
| Abstract: | ![]()
The application of subset correspondence analysis is a relatively new technique to deal with the analysis of categorical data with missingness. A simulation study is used to test the effects of Little and Rubin's missingness mechanisms, as well as missingness up to 50% on subset correspondence analysis. Missingness was simulated across 18 different scenarios and each scenario was repeated 10 times, with outcomes averaged across the 10 simulations. In this application, it was found that while missingness in excess of 30% has some effect on certain outcomes, there is no evidence to suggest that the missingness mechanism significantly affects results. |
| |
| Keywords: | Missingness Missingness mechanism Simulation Subset correspondence analysis |
|
|
