Emergence of item response modeling in instrument development and data analysis.
Emergence of item response modeling in instrument development and data analysis.
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项目响应建模在仪器开发和数据分析中的出现。
DOI：
10.1097/00005650-200009002-00009
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发表时间：
2000
期刊：
影响因子：
3
通讯作者：
Ronald K. Hambleton
中科院分区：
文献类型：
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作者：
Ronald K. Hambleton
综上所述，本期特刊鼓励读者仔细阅读IRT文章。他们提供了支持在健康结果测量领域使用IRT模型的理论和实践论点。与此同时，读者应该意识到IRT领域很复杂，软件也很有限，而且在我看来，它对用户不是很友好(尽管有些包比其他包更好)。此外，样本量通常需要大于经典测量中的样本量，至少对于更一般的IRT模型而言，而且应用很少是直接的。需要有相当多的实践经验，以确保在健康结果衡量工具的开发和验证中成功应用项目反应疗法。
In summary, readers are encouraged to read carefully the IRT articles in this special issue. They provide theoretical as well as practical arguments in favor of using IRT models in the health outcomes measurement field. At the same time, readers should be aware that the IRT field is complex and software is limited and, in my judgment, not very user friendly (although some packages are better than others). In addition, sample sizes will often need to be larger than in classical measurement, at least with the more general IRT models, and applications are rarely straightforward. Considerable practical experience is needed to ensure successful applications of IRT in the development and validation of instruments for health outcomes measurement.