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Cited by 270

The DOI matches its Crossref record; 47 of the 47 references it cites were found in a registry or an index.

Using Item Response Theory to Measure Extreme Response Style in Marketing Research: A Global Investigation

de Jong, Martijn G, Steenkamp, Jan-Benedict E.M, Fox, Jean-Paul, Baumgartner, Hans·2008·Journal of Marketing Research
DOI 10.1509/jmkr.45.1.104
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Abstract

Extreme response style (ERS) is an important threat to the validity of survey-based marketing research. In this article, the authors present a new item response theorybased model for measuring ERS. This model contributes to the ERS literature in two ways. First, the method improves on existing procedures by allowing different items to be differentially useful for measuring ERS and by accommodating the possibility that an item's usefulness differs across groups (e.g., countries). Second, the model integrates an advanced item response theory measurement model with a structural hierarchical model for studying antecedents of ERS. The authors simultaneously estimate a person's ERS score and individual- and group-level (country) drivers of ERS. Through simulations, they show that the new method improves on traditional procedures. They further apply the model to a large data set consisting of 12,506 consumers from 26 countries on four continents. The findings show that the model extensions are necessary to model the data adequately. Finally, they report substantive results about the effects of sociodemographic and national-cultural variables on ERS.

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Metadata

Authors
de Jong, M. G., Steenkamp, J.-B. E. M., Fox, J.-P., & Baumgartner, H.
Venue
Journal of Marketing Research
Publisher
SAGE Publications
Published
2008-02
Volume
45
Issue
1
Pages
104-115
ISSN
0022-2437 (ISSN-L)
DOI
10.1509/jmkr.45.1.104
OpenAlex
W2018126168
Cited by
270
References
47
FWCI
26.65
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Using Item Response Theory to Measure Extreme Response Style in Marketing Research: A Global Investigation. https://app.cochat.ai/papers/10.1509/jmkr.45.1.104
The paper
de Jong, M. G., Steenkamp, J.-B. E. M., Fox, J.-P., & Baumgartner, H. (2008). Using Item Response Theory to Measure Extreme Response Style in Marketing Research: A Global Investigation. Journal of Marketing Research. https://doi.org/10.1509/jmkr.45.1.104

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.