Bayesian latent pattern mixture models for handling attrition in panel studies with refreshment samples
| dc.contributor.author | Si, Y | |
| dc.contributor.author | Reiter, JP | |
| dc.contributor.author | Hillygus, DS | |
| dc.date.accessioned | 2017-12-16T22:45:04Z | |
| dc.date.available | 2017-12-16T22:45:04Z | |
| dc.date.issued | 2016-03-01 | |
| dc.description.abstract | Many panel studies collect refreshment samples—new, randomly sampled respondents who complete the questionnaire at the same time as a subsequent wave of the panel. With appropriate modeling, these samples can be leveraged to correct inferences for biases caused by nonignorable attrition. We present such a model when the panel includes many categorical survey variables. The model relies on a Bayesian latent pattern mixture model, in which an indicator for attrition and the survey variables are modeled jointly via a latent class model.We allow the multinomial probabilities within classes to depend on the attrition indicator, which offers additional flexibility over standard applications of latent class models. We present results of simulation studies that illustrate the benefits of this flexibility. We apply the model to correct attrition bias in an analysis of data from the 2007–2008 Associated Press/Yahoo News election panel study. | |
| dc.identifier.eissn | 1941-7330 | |
| dc.identifier.issn | 1932-6157 | |
| dc.identifier.uri | ||
| dc.publisher | Institute of Mathematical Statistics | |
| dc.relation.ispartof | Annals of Applied Statistics | |
| dc.relation.isversionof | 10.1214/15-AOAS876 | |
| dc.title | Bayesian latent pattern mixture models for handling attrition in panel studies with refreshment samples | |
| dc.type | Journal article | |
| duke.contributor.orcid | Reiter, JP|0000-0002-8374-3832 | |
| pubs.begin-page | 118 | |
| pubs.end-page | 143 | |
| pubs.issue | 1 | |
| pubs.organisational-group | Center for Child and Family Policy | |
| pubs.organisational-group | Duke | |
| pubs.organisational-group | Duke Population Research Center | |
| pubs.organisational-group | Duke Population Research Institute | |
| pubs.organisational-group | Sanford School of Public Policy | |
| pubs.organisational-group | Statistical Science | |
| pubs.organisational-group | Temp group - logins allowed | |
| pubs.organisational-group | Trinity College of Arts & Sciences | |
| pubs.publication-status | Published | |
| pubs.volume | 10 |