Establishing a Baseline: Bringing Innovation to the Evaluation of Cross-National Probability-Based Online Panels

IF 0.9 2区 社会学 Q4 SOCIAL SCIENCES, MATHEMATICAL METHODS Survey Research Methods Pub Date : 2021-08-10 DOI:10.18148/SRM/2021.V15I2.7457
Gianmaria Bottoni, R. Fitzgerald
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引用次数: 3

Abstract

A number of countries in Europe and beyond have established online or mixed mode panels with a web component based upon probability samples. This paper aims to assess the first ever attempt to do this cross-nationally using an input harmonised approach representing a major innovation in cross-national survey methodology. The European Social Survey established a panel using the face-to-face interview as the basis for recruitment to the panel. This experiment was conducted in Estonia, Slovenia and Great Britain using an input harmonised approach to the design throughout something never done before across multiple countries simultaneously. The paper outlines how the experiment was conducted. It then moves on to compare the web panel respondents to the ESS achieved face-to-face sample in each country, as well as comparing the web panel achieved sample to external benchmarks. Most importantly, since the literature is very scarce, the differences in attitudinal and behavioural characteristics are also assessed. By comparing the answers of the total achieved sample in the ESS to the subset who also answered the CRONOS web panel we assess changes in representativeness and substantive answers without confounding the findings with other changes such as mode effects. This approach is only possible where ‘piggybacking’ recruitment has been used. This in itself is rare at the national level but this is the first time survey methodologists have employed this cross-nationally allowing such an analytical approach. Our findings suggest that the CRONOS sample is not too divergent from the target population and to the ESS with the exception of the oldest age groups. However, there are cross-national differences suggesting cross-national comparability might be different when compared to estimates from a face-to-face survey.
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建立基线:为跨国概率在线小组评估带来创新
欧洲及其他地区的许多国家已经建立了基于概率样本的网络组件的在线或混合模式面板。本文旨在评估有史以来首次尝试使用输入协调方法进行跨国家调查,这是跨国家调查方法的一项重大创新。欧洲社会调查建立了一个小组,将面对面的面试作为小组招聘的基础。这项实验在爱沙尼亚、斯洛文尼亚和英国进行,采用了一种输入协调的设计方法,这是以前从未在多个国家同时进行过的。论文概述了实验是如何进行的。然后,它将网络小组受访者与每个国家ESS实现的面对面样本进行比较,并将网络小组实现的样本与外部基准进行比较。最重要的是,由于文献非常稀少,还评估了态度和行为特征的差异。通过将ESS中获得的总样本的答案与同样回答CRONOS网络小组的子集进行比较,我们评估了代表性和实质性答案的变化,而不会将研究结果与其他变化(如模式效应)混淆。这种方法只有在使用“背负式”招聘的情况下才有可能。这本身在国家层面上是罕见的,但这是调查方法学家首次在全国范围内采用这种分析方法。我们的研究结果表明,除了年龄最大的人群外,CRONOS样本与目标人群和ESS的差异不大。然而,存在跨国差异,这表明与面对面调查的估计相比,跨国可比性可能有所不同。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Survey Research Methods
Survey Research Methods SOCIAL SCIENCES, MATHEMATICAL METHODS-
CiteScore
7.50
自引率
4.20%
发文量
0
审稿时长
52 weeks
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