The Effects of Nonresponse and Sampling Omissions on Estimates on Various Topics in Federal Surveys: Telephone and IVR Surveys of Address-Based Samples (original) (raw)

Multiple Sources of Nonobservation Error in Telephone Surveys: Coverage and Nonresponse

Sociological Methods & Research, 2011

Unit nonresponse has been increasing in Random Digit Dialed (RDD) telephone surveys over the past three decades, creating large potential for nonresponse bias. In addition to obtaining interviews from fewer adults in sampled households, the RDD sampling frame is also including a smaller proportion of the eligible population. The increasing undercoverage is directly related to

Coverage Gap : Out-of-State Phone Numbers for State Surveys

2018

As survey designers contemplate using a single frame cellphone design for telephone RDD surveys they consider the potential for coverage bias. From a coverage perspective, there has been discussion about the impact of excluding landline only households. There has not been as much consideration to the impact on coverage bias regarding residents of an area of interest who do not have a telephone number associated with that area. Unlike with landline numbers, a cellphone number is portable and therefore many residents of an area to be studied might not have a phone number associated with the area. Moreover, the latest data indicate that 50.5% of adults can only be reached by cellphone (Blumberg & Luke 2017). As more cellphone only persons move from where they purchased their phone, the undercoverage rate in the area to which they move increases and the potential impact on bias increases. Based on auxiliary data, the undercoverage rate averaged 3% in Ohio and was as high as 40% in some ...

Consequences of Reducing Nonresponse In a National Telephone Survey

Public Opinion Quarterly, 2000

Critics of public opinion polls often claim that method-ological shortcuts taken to collect timely data produce biased results. This study compares two random digit dial national telephone surveys that used identical questionnaires but very different levels of effort: a “Standard” ...

Mail-Back Response Rates for Simplified Decennial Census Questionnaire Designs

The 1990 U.S. Decennial Census required surveying over 100,000,000 households. The primary means of data collection was intended to be a mail-back census form. The 1990 response rate for this mail-back form was 65 percent, ten percentage points lower than the 75 percent response rate obtained in 1980. A consequence of this lower response rate was the necessity of spending an additional $100,000,000 or perhaps more for personal enumerators to complete the census. Many explanations have been proposed for why the mailback response rate declined between 1980 and 1990, based upon analysis of data collected in post-census surveys and anecdotal evidence. The potential explanations range from the design of the census questionnaire itself and concern about privacy, to changes in the composition of U.S. households (Fay et al., 1991, Kulka et al. 1991). Among the many proposed explanations offered from a variety of sources was a perception that perhaps completing even the short form was too great a burden, and that the response rate could be increased by reducing the number of questions contained in it.