INTRODUCTION In 1994, the U.S. Department of Health and Human Services mandated sufficient inclusion of racial and ethnic minorities in all federally funded research. This mandate requires researchers to monitor study samples for research participation and differential survey nonresponse. This study illustrates methods to assess differential survey nonresponse when population race data are inco...

PURPOSE To examine the performance of various items measuring sexual orientation within 8 school-based adolescent health surveys in the United States and Canada from 1986 through 1999. METHODS Analyses examined nonresponse and unsure responses to sexual orientation items compared with other survey items, demographic differences in responses, tests for response set bias, and congruence of resp...

Informative sampling refers to a design for which the sample selection probabilities depend on values of model outcome variable. In such cases holding data is different from population data. Similarly, nonignorable nonresponse mechanism in response probability depends value missing For this paper, we study, within modelling framework, semi-parametric prediction finite total by specifying distri...

Nonmonotone missing data arise routinely in empirical studies of social and health sciences, and when ignored, can induce selection bias and loss of efficiency. In practice, it is common to account for nonresponse under a missing-at-random assumption which although convenient, is rarely appropriate when nonresponse is nonmonotone. Likelihood and Bayesian missing data methodologies often require...

The effect of nonresponse on health and lifestyle measures has received extensive study, showing at most relatively modest effects. Nonresponse bias with respect to personality has been less thoroughly investigated. The present study uses data from responding individuals as a proxy for the missing data of their nonresponding family members to examine the presence of nonresponse bias for persona...

Statistical surveys are usually conducted to obtain data describing a problem in studied society, and many experience rise nonresponse rates, as the rate of may affect bias survey estimates. Recent empirical results show instances correlation with bias, we attempt translate statistical experiences newly published studies research into causal models that lead assumptions about when lack response...

Nonresponse bias is a widely prevalent problem for data on education. We develop ten-step exemplar to guide nonresponse analysis (NRBA) in cross-sectional studies and apply these steps the Early Childhood Longitudinal Study, Kindergarten Class of 2010–2011. A key step construction indices based proxy pattern-mixture models survey variables interest. novel feature characterize strength evidence ...

This paper proposes a method for modeling longitudinal binary data when nonresponse depends on unobserved responses. The proposed method presumes that the target of inference is the marginal distribution of the response at each occasion and its dependence on covariates, and can accommodate both monotone and non-monotone missingness. The approach involves a marginally specified pattern-mixture m...

Introduction Recent studies of the Current Population Survey by Tucker and Kojetin (1997) and Dixon (2001) showed that unemployment rates were related to unit nonresponse in the CPS. Since households are in sample for 8 months in the CPS (over a 16-month period), there is an opportunity for households to leave or return to the sample. However, the number of “converts”, (households that agree to...