in many statistical systems, a type of survey called “sampling over time” is common, which repeats continuously over time. one method of sampling over time is panel survey. panel survey is a method in which a “fixed sample” is contacted during different waves. the most important challenge in a panel survey is debility in providing response from some sample units and having non-response that usu...

Title of Document: ENHANCING THE UNDERSTANDING OF THE RELATIONSHIP BETWEEN SOCIAL INTEGRATION AND NONRESPONSE IN HOUSEHOLD SURVEYS Ashley E. Amaya, Doctor of Philosophy, 2015 Directed By: Professor Stanley Presser Joint Program in Survey Methodology Nonresponse and nonresponse bias remain fundamental concerns for survey researchers as understanding them is critical to producing accurate statist...

OBJECTIVES This report seeks to inform National Social Life, Health, and Aging Project (NSHAP) data users of the prevalence and predictors of missing data in the in-person interview (CAPI) and leave-behind questionnaire (LBQ) in Wave 2 of NSHAP, and methods to handle missingness. METHOD Missingness is quantified at the unit and item levels separately for CAPI and LBQ data, and at the item lev...

BACKGROUND In longitudinal studies, nonresponse to follow-up surveys poses a major threat to validity, interpretability and generalisation of results. The problem of nonresponse is further complicated by the possibility that nonresponse may depend on the outcome of interest. We identified sociodemographic, general health and wellbeing characteristics associated with nonresponse to the follow-up...

Abstract Many household panel surveys have experienced decreasing response rates and increasing risk of nonresponse bias in recent decades, but trends business or establishment are largely understudied. This article examines both one the largest longest-running panels, IAB Establishment Panel. Response rate reported over a 17-year period for each annual cohort rich administrative data used to e...

We consider a general sample selection model where unit and item nonresponse simultaneously affect a regression relationship of interest, and both types of nonresponse are potentially correlated. We estimate both parametric and semiparametric specifications of the model. The parametric specification assumes that the errors in the latent regression equations follow a trivariate Gaussian distribu...

Stochastic dominance comparisons of distributions based on ordinal data arise in many areas economics. This paper develops a testing procedure for such under survey sampling from large finite populations with nonresponse using the worst-case bounds distributions. The advantage these distributional is that conclusions are robust to nature nonresponse-generating mechanism. While often too wide pr...

1. Introduction While unit or questionnaire nonresponse can seriously degrade the quality of any survey, nonparticipation is particularly threatening to a longitudinal survey like the U.S. Census Bureau's Survey of Income and Program Participation (SIPP). To minimize the potential biasing effects of second and subsequent wave attrition from SIPP panels, staff at the Census Bureau perform weight...

The choice between weighting adjustments and imputation for handling missing survey data is generally straightforward: as a rule, weighting adjustments are used for total nonresponse and imputation is used for item nonresponses. There are, however, several situations where the choice is debatable. In general, these are situations of what might be termed partial nonresponse, where some data are ...