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Addressing the challenges of measuring self-reported media use: Using contingent feedback to increase data quality in web and face-to-face survey modes.

机译:解决衡量自我报告媒体使用情况的挑战:使用偶然反馈来提高Web和面对面调查模式下的数据质量。

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摘要

Although passive log-file data can be useful to determine household digital media consumption, many researchers rely on self-reported media measures because samples are less expensive to recruit and maintain, and self-reported measures can estimate a broad range of media use as well as other attitudinal and behavioral information. Unfortunately, digital media use is often difficult for respondents to report. First, some digital media consumption may be considered sensitive, leading respondents to answer in a socially desirable manner. Second, the pervasiveness of digital media makes it difficult for respondents to recall their behavior, leading to estimations and guesses. Third, as the names of digital media services evolve, respondents may be asked to respond to effortful open questions that inquire into uses for media rather than be asked to respond to less onerous closed questions about use of specific services. This dissertation examines whether or not the mode of survey data collection can address these issues, thereby increasing the validity of self-reported digital media use estimates. Specifically, I assert that the ability of web surveys to provide contingent feedback, similar to face-to-face interviews, can decrease social desirability bias and satisficing and increase the quality of responses to open media use questions. In order to test my hypotheses, I conducted a survey mode experiment with three conditions: face-to-face, standard web and experimental web. The face-to-face and experimental web condition use contingent feedback in the form of probes and instructions in an attempt to decrease social desirability bias and satisficing while increasing the number of responses to open questions.;The findings indicate that probes and instructions in the experimental web mode decrease social desirability bias and satisficing in closed questions but do not increase the number of answers to open questions. Furthermore, the contingent feedback appears to increase data quality to a greater extent in the face-to-face condition than in the experimental web condition. The findings lend support to the notion that the quality of self-reported digital media use measures can be improved by the use of probes, instructions and other types of contingent feedback in both interviewer and self-administered modes.
机译:尽管被动日志文件数据可用于确定家庭数字媒体的使用情况,但许多研究人员仍依赖自行报告的媒体指标,因为样本的招募和维护成本较低,而且自我报告的指标也可以估算广泛的媒体使用范围以及其他态度和行为信息。不幸的是,受访者通常难以报道数字媒体的使用情况。首先,某些数字媒体消费可能被认为是敏感的,导致受访者以社会上期望的方式做出回答。其次,数字媒体的普遍性使受访者难以回忆自己的行为,从而导致估计和猜测。第三,随着数字媒体服务名称的发展,可能会要求受访者回答有关使用媒体的费力的开放性问题,而不是要求他们回答有关使用特定服务的繁琐的封闭性问题。本文研究了调查数据收集方式是否可以解决这些问题,从而提高了自我报告数字媒体使用估计的有效性。具体而言,我断言,网络调查提供与面对面访谈类似的偶然反馈的能力可以减少社会的期望偏差和满意度,并提高对开放媒体使用问题的回答质量。为了检验我的假设,我在三个条件下进行了调查模式实验:面对面,标准网络和实验网络。面对面和实验性网络条件使用探究和指示形式的偶然反馈,以尝试减少社会的期望偏差和满足感,同时增加对未解决问题的回答数量。实验性网络模式可减少封闭问题中的社会期望偏差和满意度,但不会增加未解决问题的答案数量。此外,相较于实验网络条件,偶然反馈似乎在面对面条件下更大程度地提高了数据质量。这些发现支持了这样一种观念,即可以通过在采访者和自我管理模式下使用探针,说明和其他类型的或有反馈来提高自我报告数字媒体使用措施的质量。

著录项

  • 作者

    Walejko, Gina Kay.;

  • 作者单位

    Northwestern University.;

  • 授予单位 Northwestern University.;
  • 学科 Sociology Theory and Methods.;Speech Communication.
  • 学位 Ph.D.
  • 年度 2010
  • 页码 173 p.
  • 总页数 173
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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