使用专家共识（德尔菲方法）评估网络调查中的加权技术，而不是基于概率方案

IF 1.4 3区社会学 Q3 DEMOGRAPHY

Mathematical Population Studies Pub Date : 2017-07-03 DOI:10.1080/08898480.2017.1330012

V. Toepoel, H. Emerson

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引用次数: 9

摘要

基于无概率方案的网络调查中的加权技术被设计用来纠正由于自我选择、覆盖不足和无反应而产生的偏差。在一个互动小组中，38位调查专家讨论了网络调查中的加权技术和辅助变量。他们大多联合纠正所有偏差，并采用校准和倾向分数调整。尽管他们声称社会人口统计和网络相关变量是在调整中使用的最有用的辅助变量，但他们只考虑社会人口统计变量来纠正偏差，因为它们的可用性。

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Using experts’ consensus (the Delphi method) to evaluate weighting techniques in web surveys not based on probability schemes

ABSTRACT Weighting techniques in web surveys based on no probability schemes are devised to correct biases due to self-selection, undercoverage, and nonresponse. In an interactive panel, 38 survey experts addressed weighting techniques and auxiliary variables in web surveys. Most of them corrected all biases jointly and applied calibration and propensity score adjustments. Although they claimed that sociodemographic and web-related variables are the most useful auxiliary variables to employ in adjustments, they considered only sociodemographic variables to correct biases because of their availability.

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来源期刊

Mathematical Population Studies 数学-数学跨学科应用

CiteScore

3.20

自引率

11.10%

发文量

审稿时长

>12 weeks

期刊介绍： Mathematical Population Studies publishes carefully selected research papers in the mathematical and statistical study of populations. The journal is strongly interdisciplinary and invites contributions by mathematicians, demographers, (bio)statisticians, sociologists, economists, biologists, epidemiologists, actuaries, geographers, and others who are interested in the mathematical formulation of population-related questions. The scope covers both theoretical and empirical work. Manuscripts should be sent to Manuscript central for review. The editor-in-chief has final say on the suitability for publication.