中国大规模调查中受访者对外貌的评价

IF 1.6 4区 数学 Q2 SOCIAL SCIENCES, MATHEMATICAL METHODS
Qiong Wu, Yu Xie
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引用次数: 0

摘要

在几项主要的社会调查中,都收集了受访者对其外貌的评分。虽然研究人员在实质性研究中很好地利用了这些评分数据,但有关其测量属性的实证证据却相当有限。本研究评估了对受访者外貌评分质量的两种潜在威胁:受访者效应和光环效应。我们使用中国家庭面板研究的数据,基于交叉分类模型,显示了受访者外貌评分的访谈者效应。在控制了访问者效应后,我们还根据外貌评分与其他理论上不同的结构之间的高相关性,提供了光环效应的可能证据。不过,在同时控制面试官效应和光环效应的情况下,我们发现外貌评分的收敛性和区分度有效性都得到了支持。使用面试官观察数据进行的实证研究应尽可能考虑面试官效应和光环效应,或至少讨论它们对实质性研究结果的潜在影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Interviewer Ratings of Physical Appearance in a Large-Scale Survey in China
Interviewer ratings of respondents’ physical appearance have been collected in several major social surveys. While researchers have made good use of such ratings data in substantive studies, empirical evidence on their measurement properties is rather limited. This study evaluates two potential threats to the quality of interviewer ratings of physical appearance: interviewer effects and halo effects. Using data from the China Family Panel Studies, we show large interviewer effects on interviewer ratings of respondents’ physical appearance based on cross-classified models. We also provide possible evidence for halo effects based on high correlations between physical appearance ratings and other theoretically distinct constructs, after controlling for interviewer effects. However, we find support for convergent and discriminant validity of physical appearance ratings when both interviewer effects and halo effects are controlled for. Empirical studies using interviewer observation data should take into account interviewer effects and halo effects when possible or at least discuss their potential impact on the substantive findings.
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来源期刊
CiteScore
4.30
自引率
9.50%
发文量
40
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.
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