USING RESTRICTED LATENT CLASS MODELS TO MAP THE SKILL STRUCTURE OF ACHIEVEMENT ITEMS
USING RESTRICTED LATENT CLASS MODELS TO MAP THE SKILL STRUCTURE OF ACHIEVEMENT ITEMS
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DOI：
10.1111/j.1745-3984.1989.tb00336.x
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发表时间：
1989-12-01
影响因子：
1.3
通讯作者：
HAERTEL, EH
中科院分区：
文献类型：
--
作者：
HAERTEL, EH
本文提出了一种新的方法，使用某些限制潜在类模型，称为二元技能模型，以确定所需的技能的测试项目集。该方法适用于阅读成绩数据从全国代表性样本的四年级学生，并提供了有用的观点，测试结构和考生的能力，不同于其他方法提供的分析。适合于小的、重叠的项目集的模型被集成到一个共同的技能图中，然后从所需项目的特征中推断出每项技能的性质。阅读理解测试项目与六个独立技能水平的一维量表密切相关，这些技能水平从无法理解或匹配阅读文章中的孤立单词到将文章内容与一般知识相结合以及识别测试中最困难文章的主要思想所需的能力。
This paper presents a new method for using certain restricted latent class models, referred to as binary skills models, to determine the skills required by a set o f test items. The method is applied to reading achievement data from a nationally representative sample o f fourth‐grade students and offers useful perspectives on test structure and examinee ability, distinct from those provided by other methods o f analysis. Models fitted to small, overlapping sets o f items are integrated into a common skill map, and the nature o f each skill is then inferred from the characteristics o f the items for which it is required. The reading comprehension items examined conform closely to a unidimensional scale with six discrete skill levels that range from an inability to comprehend or match isolated words in a reading passage to the abilities required to integrate passage content with general knowledge and to recognize the main ideas o f the most difficult passages on the test.