Abstract

The present work shows how useful clinical insights can derive from a Rasch analysis of repgrids. Rasch models allow meaningful comparisons not only within elements and within constructs, but also between them. In addition, they allow the identification of unexpected evaluations that should be further explored with the respondent. Large values of infit or outfit may suggest a lack of attention in completing the grid, uncertainties in the evaluation of elements on constructs, or critical issues regarding certain elements or constructs. Classical analysis procedures and a Rasch model are applied on real repgrid data. The results indicate that the Rasch model provides additional information beyond that resulting from classical analysis procedures.

摘要

目前的工作显示了如何从对 repgrids 的 Rasch 分析中获得有用的临床见解。Rasch 模型不仅允许在元素内和结构内进行有意义的比较，而且还允许在它们之间进行有意义的比较。此外，它们允许识别应与受访者进一步探讨的意外评估。较大的 infit 或 gear 值可能表明在完成网格时缺乏注意力、对构造元素的评估存在不确定性，或者关于某些元素或构造的关键问题。经典分析程序和 Rasch 模型应用于真实的 repgrid 数据。结果表明，Rasch 模型提供的信息超出了经典分析程序所产生的信息。