结构效度
构造(python库)
心理学
外部有效性
测试有效性
验证器
考试(生物学)
语言评估
同时有效性
认知
预测效度
标准效度
认知心理学
增量有效性
社会心理学
心理测量学
计算机科学
数学教育
发展心理学
古生物学
神经科学
生物
程序设计语言
内部一致性
标识
DOI:10.1177/02655322221125204
摘要
Construct validity and building validity arguments are some of the main challenges facing the language assessment community. The notion of construct validity and validity arguments arose from research in psychological assessment and developed into the gold standard of validation/validity research in language assessment. At a theoretical level, construct validity and validity arguments conflate the scientific reasoning in assessment and policy matters of ethics. Thus, a test validator is expected to simultaneously serve the role of conducting scientific research and examining the consequential basis of assessments. I contend that validity investigations should be decoupled from the ethical and social aspects of assessment. In addition, the near-exclusive focus of empirical construct validity research on cognitive processing has not resulted in sufficient accuracy and replicability in predicting test takers’ performance in real language use domains. Accordingly, I underscore the significance of prediction in validation, in contrast to explanation, and propose that the question to ask might not so much be about what a test measures as what type of methods and tools can better generate language use profiles. Finally, I suggest that interdisciplinary alliances with cognitive and computational neuroscience and artificial intelligence (AI) fields should be forged to meet the demands of language assessment in the 21st century.
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