Developing and Applying IR-Tree Models: Guidelines, Caveats, and an Extension to Multiple Groups

2021
IR-tree models assume that categorical item responses can best be explained by multiple response processes. In the present article, guidelines are provided for the development and interpretation of IR-tree models. In more detail, the relationship between a tree diagram, the model equations, and the analysis on the basis of pseudo-items is described. Moreover, it is shown that IR-tree models do not allow conclusions about the sequential order of the processes, and that mistakes in the model specification can have serious consequences. Furthermore, multiple-group IR-tree models are presented as a novel extension of IR-tree models to data from heterogeneous units. This allows, for example, to investigate differences across countries or organizations with respect to core parameters of the IR-tree model. Finally, an empirical example on organizational commitment and response styles is presented.
ORGANIZATIONAL RESEARCH METHODS
页码:654-670|卷号:24|期号:3
ISSN:1094-4281
来源机构
University of Mannheim
收录类型
SSCI
发表日期
2021
学科领域
循证经济学
国家
德国
语种
英语
DOI
10.1177/1094428120911096
其他关键词
CONFIRMATORY FACTOR-ANALYSIS; ITEM RESPONSE TREES; MEASUREMENT EQUIVALENCE; PERSONALITY DATA; STYLES; VARIABILITY; INVARIANCE; JUDGMENT; BIAS
EISSN
1552-7425
资助机构
University of Mannheim
资助信息
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: The publication of this article was funded by the University of Mannheim.
被引频次(WOS)
6
被引更新日期
2022-01
关键词
item response theory (IRT) IR-tree model response style organizational commitment multiple-group model