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Replication data for: Mokken Scale Analysis: A Nonparametric Version of Guttman Scaling for Survey Research

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

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Title Replication data for: Mokken Scale Analysis: A Nonparametric Version of Guttman Scaling for Survey Research
 
Identifier https://doi.org/10.7910/DVN/8VWE6A
 
Creator Wijbrandt van Schuur
 
Publisher Harvard Dataverse
 
Description This article introduces a model of ordinal unidimensional measurement known as Mokken scale analysis. Mokken scaling is based on principles of Item Response Theory (IRT) that originated in the Guttman scale. I compare the Mokken model with both Classical Test Theory (reliability or factor analysis) and parametric IRT models (especially with the one-parameter logistic model known as the Rasch model). Two nonparametric probabilistic versions of the Mokken model are described: the model of Monotone Homogeneity and the model of Double Monotonicity. I give procedures for dealing with both dichotomous and polytomous data, along with two scale analyses of data from the World Values Study that demonstrate the usefulness of the Mokken model.
 
Date 2003