将关于对外群的态度的开放式和封闭式问题与不同的文本分析方法相结合
Karolina Hansen1, Aleksandra Świderska2
1Faculty of Psychology, University of Warsaw, Stawki 5/7, 00-183, Warsaw, Poland. karolina.hansen@psych.uw.edu.pl.
Behavior research methods
|October 16, 2023
概括
开放式的调查问题揭示了对外部群体的更丰富,更积极的态度,而不是封闭式的问题. 像Meaning Extraction Helper (MEH) 这样的自动化文本分析工具有效地处理这些数据,帮助行为科学研究.
科学领域:
- 行为科学 行为科学
- 社会心理学 社会心理学
- 调查方法 调查方法
背景情况:
- 传统的调查通常使用封闭式问题,限制了表达意见的深度.
- 评估复杂的态度,特别是对外群的态度,需要细微的数据收集方法.
- 开放式响应的手动编码是劳动密集型的,需要高效的分析工具.
研究的目的:
- 为了比较封闭式和开放式调查问题的有效性,评估对外群的态度.
- 评估用于处理开放式调查答复的自动化文本分析工具.
- 通过各种调查方法调查波兰公众对难民的态度.
主要方法:
- 在波兰进行了两项代表性调查,使用关闭式和开放式关于难民涌入的问题.
- 使用手动编码来对开放式响应进行定性分析.
- 使用自动化文本分析工具:含义提取助手 (MEH),语言查询和单词计数 (LIWC),以及CLARIN的情感分析器.
主要成果:
- 封闭式问题显示,对难民的态度主要是负面的.
- 开放式的问题产生了更丰富,更积极的态度和多样化的主题.
- 自动化分析 (MEH,LIWC,CLARIN) 成功识别了关键主题和情绪调,证实了手动编码.
结论:
- 开放式问题提供了对公众态度的更全面的了解,特别是对外界群体的态度.
- 自动化文本分析显著提高了分析定性调查数据的效率和范围.
- 鼓励研究人员整合开放式问题和高级文本分析,以深入了解社会态度.
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