Assessing Trends and Decomposing Change in Nonresponse Bias: The Case of Bias in Cohort Distributions

被引:15
|
作者
Gummer, Tobias [1 ]
机构
[1] GESIS Leibniz Inst Social Sci, B2,1, D-68159 Mannheim, Bade Wuerttembe, Germany
关键词
nonresponse bias; trend; decomposition; survey climate; cohort distributions; RATES; CONSEQUENCES; INCENTIVES; DIFFERENCE; SAMPLE; IMPACT;
D O I
10.1177/0049124117701479
中图分类号
O1 [数学]; C [社会科学总论];
学科分类号
03 ; 0303 ; 0701 ; 070101 ;
摘要
Survey research is still confronted by a trend of increasing nonresponse rates. In this context, several methodological advances have been made to stimulate participation and avoid bias. Yet, despite the growing number of tools and methods to deal with nonresponse, little is known about whether nonresponse biases show similar trends as nonresponse rates and what mechanisms (if any) drive changes in bias. Our article focuses on biases in cohort distributions in the U.S. and German general social surveys from 1980 to 2012 as one of the key variables in the social sciences. To supplement our cross-national comparison of these trends, we decompose changes into within-cohort change (WCC) and between-cohort change. We find that biases in cohort distributions have remained relatively stable and at a relatively low level in both countries. Furthermore, WCC (i.e., survey climate) accounts for the major part of the change in nonresponse bias.
引用
收藏
页码:92 / 115
页数:24
相关论文
共 50 条
  • [31] Nonresponse bias in survey research: A case study from a national survey of postsecondary chemistry faculty
    Raker, Jeffrey
    Villafane-Garcia, Sachel
    Stains, Marilyne
    Murphy, Kristen
    Laga, Emily
    Leon, Jessica
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2016, 251
  • [32] Worst Case Resistance Testing: A Nonresponse Bias Solution for Today's Survey Research Realities
    France, Stephen L.
    Adams, Frank G.
    Landers, V. Myles
    SURVEY RESEARCH METHODS, 2024, 18 (03): : 187 - 210
  • [33] Analysis of nonresponse bias in a population-based case-control study on lung cancer
    Richiardi, L
    Boffetta, P
    Merletti, F
    JOURNAL OF CLINICAL EPIDEMIOLOGY, 2002, 55 (10) : 1033 - 1040
  • [34] Technical Note: Recommendations for Assessing Unit Nonresponse Bias in Dyadic Focused Empirical Supply Chain Management Research
    Clottey, Toyin
    Benton, W. C., Jr.
    DECISION SCIENCES, 2020, 51 (02) : 423 - 447
  • [35] Who provides open-ended comments? Assessing item nonresponse bias in Medicaid surveys of members and dentists
    Reynolds, Julie C.
    McKernan, Susan C.
    Sukalski, Jennifer M. C.
    JOURNAL OF PUBLIC HEALTH DENTISTRY, 2020, 80 (01) : 18 - 22
  • [36] ASSESSING CHANGE IN PNEUMOCONIOSES USING SERIAL RADIOGRAPHS - SOURCES AND QUANTIFICATION OF BIAS
    REGER, RB
    BUTCHER, DF
    MORGAN, WKC
    AMERICAN JOURNAL OF EPIDEMIOLOGY, 1973, 98 (04) : 243 - 254
  • [37] A strategy for assessing selection bias in case-control studies
    Hertz-Picciotto, I
    AMERICAN JOURNAL OF EPIDEMIOLOGY, 2003, 157 (11) : S55 - S55
  • [38] ROBITT: A tool for assessing the risk-of-bias in studies of temporal trends in ecology
    Boyd, Robin J.
    Powney, Gary D.
    Burns, Fiona
    Danet, Alain
    Duchenne, Francois
    Grainger, Matthew J.
    Jarvis, Susan G.
    Martin, Gabrielle
    Nilsen, Erlend B.
    Porcher, Emmanuelle
    Stewart, Gavin B.
    Wilson, Oliver J.
    Pescott, Oliver L.
    METHODS IN ECOLOGY AND EVOLUTION, 2022, 13 (07): : 1497 - 1507
  • [39] Bias in Full Cohort and Nested Case-Control Studies?
    Wacholder, Sholom
    EPIDEMIOLOGY, 2009, 20 (03) : 339 - 340
  • [40] Using imputation techniques to mitigate nonresponse bias in tourism business surveys: The case of hotel industry statistics
    Chacko, HE
    Wartenberg, C
    IT'S SHOWTIME FOR TOURISM: NEW PRODUCTS, MARKETS AND TECHNOLOGIES, 1996, : 376 - 381