利克特量表
可读性
构造(python库)
心理学
比例(比率)
结构效度
资源(消歧)
数据科学
心理测量学
应用心理学
计算机科学
临床心理学
物理
程序设计语言
发展心理学
量子力学
计算机网络
作者
Andrew T. Jebb,Vincent Ng,Louis Tay
标识
DOI:10.3389/fpsyg.2021.637547
摘要
Developing self-report Likert scales is an essential part of modern psychology. However, it is hard for psychologists to remain apprised of best practices as methodological developments accumulate. To address this, this current paper offers a selective review of advances in Likert scale development that have occurred over the past 25 years. We reviewed six major measurement journals (e.g., Psychological Methods , Educational , and Psychological Measurement ) between the years 1995–2019 and identified key advances, ultimately including 40 papers and offering written summaries of each. We supplemented this review with an in-depth discussion of five particular advances: (1) conceptions of construct validity, (2) creating better construct definitions, (3) readability tests for generating items, (4) alternative measures of precision [e.g., coefficient omega and item response theory (IRT) information], and (5) ant colony optimization (ACO) for creating short forms. The Supplementary Material provides further technical details on these advances and offers guidance on software implementation. This paper is intended to be a resource for psychological researchers to be informed about more recent psychometric progress in Likert scale creation.
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