Positive Learning or Deviant Interviewing? Mechanisms of Experience on Interviewer Behavior

IF 1.6 4区 数学 Q2 SOCIAL SCIENCES, MATHEMATICAL METHODS
Yuliya Kosyakova, Lukas Olbrich, J. Sakshaug, Silvia Schwanhäuser
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引用次数: 3

Abstract

Interviewer (mis)behavior has been shown to change with interviewers’ professional experience (general experience) and experience gained during the field period (survey experience). We extend this study by using both types of experiences to analyze interviewer effects on a core quality indicator: interview duration. To understand whether the effect of interviewer experience on duration is driven by increased efficiency or deviant behavior—both mechanisms of shorter interview durations—we additionally examine the triggering rate of filter questions to avoid burdensome follow-up questions and response differentiation over the field period. Using multilevel models and data from a large-scale survey on a special and difficult-to-interview population of refugees in Germany, we find that interview duration decreases with increasing survey experience, particularly among the generally inexperienced interviewers. However, this effect is not found for the triggering rate and response differentiation. The results are robust to different sample and model specifications. We conclude that the underlying mechanism driving interview duration is related to increasing efficiency, and not deviant behavior.
积极学习还是偏差面试?面试者行为的经验机制
访谈者(mis)行为已被证明会随着访谈者的专业经验(一般经验)和实地调查期间获得的经验(调查经验)而变化。我们通过使用这两种类型的经历来分析面试官对核心质量指标(面试持续时间)的影响,从而扩展了这项研究。为了了解面试官经历对面试时间的影响是由效率的提高还是越轨行为驱动的——这两种机制都是缩短面试时间的机制——我们还研究了筛选问题的触发率,以避免在实地考察期间出现繁琐的后续问题和反应差异。使用多层次模型和一项针对德国特殊且难以采访的难民群体的大规模调查数据,我们发现采访持续时间随着调查经验的增加而减少,尤其是在通常缺乏经验的采访者中。然而,对于触发率和反应分化没有发现这种影响。结果对于不同的样本和模型规格是稳健的。我们得出的结论是,驱动面试持续时间的潜在机制与提高效率有关,而与越轨行为无关。
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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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