Analyzing rating distributions with heaps and censoring points using the generalized Craggit model.

Lang V, GroSS M (2020)
MethodsX 7.

Zeitschriftenaufsatz | Veröffentlicht | Englisch
 
Download
Es wurden keine Dateien hochgeladen. Nur Publikationsnachweis!
Autor*in
Lang, VolkerUniBi; GroSS, Martin
Abstract / Bemerkung
In this article, we introduce a new, highly flexible model to analyze distributions with heaps and censoring points, which we call the generalized Craggit model. Distributions with heaps and censoring points can be found in many social science applications. For example, such distributions can be the result of sequential or multistep rating processes. Our model is a combination of a Craggit model and a generalized ordered probit model. It can account for multiple heaps and censoring points in distributions. We used this model to analyze a factorial survey experiment on earnings justice attitudes in the SOEP-Pretest 2008. In this experiment, a three-step rating instrument was used, which resulted in a rating distribution with heaps and censoring. Our generalized Craggit model fits the data of this experiment much better than a hierarchical linear model, which is the method that is usually implemented to analyze factorial survey experiments. © 2020 The Authors. Published by Elsevier B.V.
Erscheinungsjahr
2020
Zeitschriftentitel
MethodsX
Band
7
eISSN
2215-0161
Page URI
https://pub.uni-bielefeld.de/record/2943131

Zitieren

Lang V, GroSS M. Analyzing rating distributions with heaps and censoring points using the generalized Craggit model. MethodsX. 2020;7.
Lang, V., & GroSS, M. (2020). Analyzing rating distributions with heaps and censoring points using the generalized Craggit model. MethodsX, 7. doi:10.1016/j.mex.2020.100868
Lang, Volker, and GroSS, Martin. 2020. “Analyzing rating distributions with heaps and censoring points using the generalized Craggit model.”. MethodsX 7.
Lang, V., and GroSS, M. (2020). Analyzing rating distributions with heaps and censoring points using the generalized Craggit model. MethodsX 7.
Lang, V., & GroSS, M., 2020. Analyzing rating distributions with heaps and censoring points using the generalized Craggit model. MethodsX, 7.
V. Lang and M. GroSS, “Analyzing rating distributions with heaps and censoring points using the generalized Craggit model.”, MethodsX, vol. 7, 2020.
Lang, V., GroSS, M.: Analyzing rating distributions with heaps and censoring points using the generalized Craggit model. MethodsX. 7, (2020).
Lang, Volker, and GroSS, Martin. “Analyzing rating distributions with heaps and censoring points using the generalized Craggit model.”. MethodsX 7 (2020).
Export

Markieren/ Markierung löschen
Markierte Publikationen

Open Data PUB

Web of Science

Dieser Datensatz im Web of Science®
Quellen

PMID: 32309151
PubMed | Europe PMC

Suchen in

Google Scholar