Interviewer Effects on the Measurement of Physical Performance in a Cross-National Biosocial Survey.

IF 1.6 4区数学 Q2 SOCIAL SCIENCES, MATHEMATICAL METHODS

Journal of Survey Statistics and Methodology Pub Date : 2023-08-18 eCollection Date: 2024-09-01 DOI:10.1093/jssam/smad031

Sophia Waldmann, Joseph W Sakshaug, Alexandru Cernat

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引用次数: 0

Abstract

Biosocial surveys increasingly use interviewers to collect objective physical health measures (or "biomeasures") in respondents' homes. While interviewers play an important role, their high involvement can lead to unintended interviewer effects on the collected measurements. Such interviewer effects add uncertainty to population estimates and have the potential to lead to erroneous inferences. This study examines interviewer effects on the measurement of physical performance in a cross-national and longitudinal setting using data from the Survey of Health, Ageing and Retirement in Europe. The analyzed biomeasures exhibited moderate-to-large interviewer effects on the measurements, which varied across biomeasure types and across countries. Our findings demonstrate the necessity to better understand the origin of interviewer-related measurement errors in biomeasure collection and account for these errors in statistical analyses of biomeasure data.

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访谈者对跨国生物社会调查中体能表现测量的影响

生物社会调查越来越多地使用采访者在受访者家中收集客观的身体健康测量(或“生物测量”)。虽然采访者扮演着重要的角色，但他们的高度参与可能会导致意想不到的采访者对收集到的测量结果的影响。这种采访者效应增加了人口估计的不确定性，并有可能导致错误的推论。本研究使用来自欧洲健康、老龄化和退休调查的数据，在跨国和纵向设置中考察了采访者对身体表现测量的影响。所分析的生物测量在测量中表现出中等到较大的访谈者效应，这种效应因生物测量类型和国家而异。我们的研究结果表明，有必要更好地了解生物测量数据收集中与访谈者相关的测量误差的来源，并在生物测量数据的统计分析中解释这些误差。

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

Journal of Survey Statistics and Methodology Multiple-

CiteScore

4.30

自引率

9.50%

发文量

期刊介绍： The Journal of Survey Statistics and Methodology, sponsored by AAPOR and the American Statistical Association, began publishing in 2013. Its objective is to publish cutting edge scholarly articles on statistical and methodological issues for sample surveys, censuses, administrative record systems, and other related data. It aims to be the flagship journal for research on survey statistics and methodology. Topics of interest include survey sample design, statistical inference, nonresponse, measurement error, the effects of modes of data collection, paradata and responsive survey design, combining data from multiple sources, record linkage, disclosure limitation, and other issues in survey statistics and methodology. The journal publishes both theoretical and applied papers, provided the theory is motivated by an important applied problem and the applied papers report on research that contributes generalizable knowledge to the field. Review papers are also welcomed. Papers on a broad range of surveys are encouraged, including (but not limited to) surveys concerning business, economics, marketing research, social science, environment, epidemiology, biostatistics and official statistics. The journal has three sections. The Survey Statistics section presents papers on innovative sampling procedures, imputation, weighting, measures of uncertainty, small area inference, new methods of analysis, and other statistical issues related to surveys. The Survey Methodology section presents papers that focus on methodological research, including methodological experiments, methods of data collection and use of paradata. The Applications section contains papers involving innovative applications of methods and providing practical contributions and guidance, and/or significant new findings.