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Developing and Applying IR-Tree Models: Guidelines, Caveats, and an Extension to Multiple Groups
[journal article]
Abstract
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 ... view more
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.... view less
Keywords
ISSP; survey; response behavior; model; survey research
Classification
Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods
Free Keywords
item response theory (IRT); IR-tree model; response style; organizational commitment; multiple-group model; International Social Survey Programme: Work Orientations IV - ISSP 2015 (ZA6770)
Document language
English
Publication Year
2021
Page/Pages
p. 654-670
Journal
Organizational Research Methods, 24 (2021) 3
DOI
https://doi.org/10.1177/1094428120911096
ISSN
1552-7425
Status
Published Version; peer reviewed