Improving social media measurement in surveys: Avoiding acquiescence bias in Facebook research
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- 作者：Ozan Kuru ; okuru@umich.edu" class="auth_mail" title="E-mail the corresponding author ; Josh Pasek
- 关键词：Social media measurement ; Acquiescence ; Agree&ndash ; disagree scales ; Survey experiment ; Method biases ; Correlates of Facebook use
- 刊名：Computers in Human Behavior
- 出版年：2016
- 出版时间：April 2016
- 年：2016
- 卷：57
- 期：Complete
- 页码：82-92
- 全文大小：940 K
文摘
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Agree–disagree questions about social media use are prone to acquiescence bias.
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Acquiescence inflates reliabilities and factor loadings, and alters correlations.
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Both better design and statistical tools can correct for these biases.
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There are benefits and limits for each corrective approach.
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Research would be improved by avoiding agree–disagree questions.