使用混合Rasch模型分析工作分析数据

IF 1 Q2 SOCIAL SCIENCES, INTERDISCIPLINARY International Journal of Testing Pub Date : 2018-09-14 DOI:10.1080/15305058.2018.1481853
Adam E. Wyse
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引用次数: 5

摘要

支持使用资格考试的一项重要有效性证据来自对该行业的工作分析。一种常见的工作分析方法是任务清单法,即使用评分量表对现场工作人员进行调查,了解他们认为安全、胜任工作所需的任务。本文描述了如何使用混合Rasch模型来分析这些数据,以及这些分析的结果如何有助于确定不同人群对工作任务的反应是否不同。来自不同认证程序的三个例子说明了在将混合Rasch模型应用于工作分析数据时可以找到的场景。讨论了这些结果对资格考试的发展和对工作分析数据的其他分析可能意味着什么。
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Analyzing Job Analysis Data Using Mixture Rasch Models
An important piece of validity evidence to support the use of credentialing exams comes from performing a job analysis of the profession. One common job analysis method is the task inventory method, where people working in the field are surveyed using rating scales about the tasks thought necessary to safely and competently perform the job. This article describes how mixture Rasch models can be used to analyze these data, and how results from these analyses can help to identify whether different groups of people may be responding to job tasks differently. Three examples from different credentialing programs illustrate scenarios that can be found when applying mixture Rasch models to job analysis data. Discussion of what these results may imply for the development of credentialing exams and other analyses of job analysis data is provided.
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来源期刊
International Journal of Testing
International Journal of Testing SOCIAL SCIENCES, INTERDISCIPLINARY-
CiteScore
3.60
自引率
11.80%
发文量
13
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