Non-response bias

Abstract: Valid predictions for the direction of nonresponse bias were obtained from subjective estimates and extrapolations in an analysis of mail survey data from published studies For estimates of the magnitude of bias, the use of extrapolations led to substantial improvements over a strategy of not using extrapolations

Abstract: Valid predictions for the direction of nonresponse bias were obtained from subjective estimates and extrapolations in an analysis of mail survey data from published studies. For estimates of the magnitude of bias, the use of extrapolations led to substantial improvements over a strategy of not using extrapolations.

Abstract: Many surveys of the U.S. household population are experiencing higher refusal rates. Nonresponse can, but need not, induce nonresponse bias in survey estimates. Recent empirical findings illustrate cases when the linkage between nonresponse rates and nonresponse biases is absent. Despite this, professional standards continue to urge high response rates. Statistical expressions of nonresponse bias can be translated into causal models to guide hypotheses about when nonresponse. causes bias. Alternative designs to measure nonresponse bias exist, providing different but incomplete information about the nature of the bias. A synthesis of research studies estimating nonresponse bias shows the bias often present. A logical question at this moment in history is what advantage probability sample surveys have if they suffer from high nonresponse rates. Since postsurvey adjustment for nonresponse requires auxiliary variables, the answer depends on the nature of the design and the quality of the auxiliary variables.

Abstract: Using data collected as part of the second pilot administration of Your First College Year (YFCY), a national survey of first-year college students, this study was designed to examine both response rates and nonresponse bias across four survey administration groups: paper-only, paper with web option, web-only with response incentive, and web-only without response incentive. Findings indicate that response rates vary by mode of administration. Moreover, predictors of response differed by administration group. Results are discussed in light of the recent surge of interest in online survey research.