To assess the effect of nonresponse bias in telephone prevalence studies of intimate partner violence, the authors asked women visiting a health center in Albany, New York, during 1998 about their willingness to participate in telephone surveys. Women physically victimized by a male partner were more likely than other women to say they would participate in telephone surveys (66.7% vs. 44.4%, p ...

Psychiatric symptomatology is often subjective, but it can be partly made more objective for the purposes of evaluation. Esquirol was the first modern psychiatrist to stress the need for a scientific approach to treatment evaluation. The kinetics of treatment is complex because different components of the clinical picture improve at a different pace. Assessment of treatment requires prior defin...

Interviewer observations made during the process of data collection are currently used to inform responsive design decisions, to expand the set of covariates for nonresponse adjustments, to explain participation in surveys, and to assess nonresponse bias. However, little effort has been made to assess the quality of such interviewer observations. Using data from the Los Angeles Family and Neigh...

We use a Dirichlet process prior (DPP) to restrict the pooling of nonresponse binary data from small areas which may seem to be similar. Our objective is to estimate the proportion of individuals with a particular characteristic from each of a number of areas under nonignorable nonresponse. All hyperparameters have proper prior densities. The griddy Gibbs sampler is used to perform the computat...

We consider the nonstandard situation where the randomized response theory is applied in a nonresponse set-up. The customary Horvitz-Thompson estimator for the population total of a sensitive variable is adjusted to take into account missing data, true response and randomized response, and the expression of its variance and the corresponding estimator provided. Finally, a numerical study is car...

The missing data and nonresponse problem is a usual difficulty of particular concern in medical and social science databases. Dealing with nonresponse can be a difficult matter and it is important to apply adequate missing data methods to obtain valid inference. Missing data is a very common problem in real data sets, and different methods to solve this problem have been developed. A simple and...

Abstract: We analyze nonresponse to questions on financial items such as income and asset holdings in household surveys using data from a controlled field experiment. As part of the SAVE study, a representative survey conducted in Germany in 2001, questions on household income and financial assets were administered using different modes (personal interview vs. drop-off questionnaire). The data ...

Analysts of cross-sectional or panel surveys often base inferences about relationships between variables on complete units, excluding units that are incomplete due to item nonresponse or attrition. This practice is justifiable if exclusion is ignorable in an appropriate sense. This paper characterizes certain types of ignorable exclusion in surveys subject to item nonresponse and develops tests...