比例(比率)
心理学
语义差异
统计
计算机科学
人工智能
认知心理学
社会心理学
数学
地图学
地理
作者
Hannes Rosenbusch,Florian Wanders,Ilse L. Pit
出处
期刊:Psychological Methods
[American Psychological Association]
日期:2019-10-10
卷期号:25 (3): 380-392
被引量:61
摘要
Psychological measurement and theory are afflicted with an ongoing proliferation of new constructs and scales. Given the often redundant nature of new scales, psychological science is struggling with arbitrary measurement, construct dilution, and disconnection between research groups. To address these issues, we introduce an easy-to-use online application: the Semantic Scale Network. The purpose of this application is to automatically detect semantic overlap between scales through latent semantic analysis. Authors and reviewers can enter the items of a new scale into the application, and receive quantifications of semantic overlap with related scales in the application's corpus. Contrary to traditional assessments of scale overlap, the application can support expert judgments on scale redundancy without access to empirical data or awareness of every potentially related scale. After a brief introduction to measures of semantic similarity in texts, we introduce the Semantic Scale Network and provide best practices for interpreting its outputs. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
科研通智能强力驱动
Strongly Powered by AbleSci AI