单题项测量:质疑、回应及建议
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  • 英文篇名:Single-item measures: Queries, responses and suggestions
  • 作者:卫旭华 ; 张亮花
  • 英文作者:WEI Xuhua;ZHANG Lianghua;School of Management, Lanzhou University;
  • 关键词:单题项 ; 多题项 ; 测量 ; 信度 ; 效度
  • 英文关键词:single-item;;multi-item;;measure;;reliability;;validity
  • 中文刊名:XLXD
  • 英文刊名:Advances in Psychological Science
  • 机构:兰州大学管理学院;
  • 出版日期:2019-05-22 13:28
  • 出版单位:心理科学进展
  • 年:2019
  • 期:v.27;No.227
  • 基金:教育部人文社会科学研究青年基金项目(16YJC630132);; 国家自然科学基金青年项目(71602080);; 中央高校基本科研业务费专项资金项目(17LZUJBWZD007,18LZ UJBWZY007);; 兰州大学“一带一路”专项项目(2018ldbryb024);; 中央高校基本科研业务费专项资金科研创新团队项目资助
  • 语种:中文;
  • 页:XLXD201907005
  • 页数:11
  • CN:07
  • ISSN:11-4766/R
  • 分类号:58-68
摘要
研究者关于单题项测量的争论已久。支持者认为单题项测量具有时间和效率上的优势,而反对者则认为单题项测量的信效度均无法得到保障。通过定性和定量的回顾,归纳了单题项测量的优缺点,剖析了以往研究对单题项测量的种种质疑并逐一进行回应。通过系统梳理,发现单题项测量具有可以接受的信度和效度水平,且多题项测量的效标关联效度并没有显著优于单题项测量。最后,指出了单题项测量开发和使用过程中应该注意的事项。尽管多题项测量仍是当前研究界的主流测量方法,但未来研究者应当更加客观地看待单题项测量。学界应当充分理解单题项测量潜在的优点和适用范围,从而使单题项测量在管理心理学和社会科学研究中发挥其应有的作用。
        Single-item measures have long been debated by researchers. Proponents advocate the efficiency of single-item measures, while opponents question reliability and validity of them. Through comprehensive qualitative and quantitative reviews, advantages and disadvantages of single-item measures are summarized,and doubts and debates in the literature are analyzed and responded specially. Through systematic review,results show that single-item measures have acceptable level of reliability and validity. More notably, the criterion-related validity of multi-item measures is not superior than single-item measures. With the review and current findings, issues that should be noted during the development and usage of single-item measures were addressed. Although multi-item measures are more acceptable, single-item measures may also have its legitimacy in academic research. That is, researchers should value the potential advantages and application scope of single-item measures, so that single-item measures can play its appropriate role in managerial psychology and social science research.
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    1 用于统计分析的文献已在文后参考文献中标注星号(*)
    2 表2和表3中用于元分析的文献已在参考文献中标注星号(*),这些文献主要是在Web of Science和Google Scholar中检索获得的,检索时间限定在1988年1月~2018年6月。效应值编码工作由两位作者独立开展,首轮一致性率超过90%,不一致的地方由两位作者共同核对修正。元分析软件为CMA 2.0,分析模型为随机效应模型(Borenstein et al., 2011)。

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