Mokken Scale Analysis: Between the Guttman Scale and Parametric Item Response Theory
By Wijbrandt H. van Schuur. Political Analysis, 2003
438 citations recorded by the source corpus.
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.
Subfields: Food Science, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/1cc697b5ff2a64d3d80ac8727b5491dbea20eed9
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In Food Science
In Statistics and Probability
- Janneke M. te Marvelde
- Klaas Sijtsma
- Adrian Furnham
- Rudy Ligtvoet
- L. A. van der Ark
- Jimmy de la Torre
- Yanyun Yang
- S. Green
Citations in the corpus
- Antecedents and consequences of chronic impulsive buying: Can impulsive buying be understood as dysfunctional self‐regulation? (2018, background): “The H score is a measure of the extent of violations of the hierarchical structure with a higher H score indicating fewer violations (van Schuur, 2003).”
- Investigating an Invariant Item Ordering for Polytomously Scored Items (2010, background): “…in attitude and personality testing, and also in the medical context researchers often assume their items to have a cumulative structure, reflecting a hierarchy of psychological or physical symptoms hypothesized to hold at the individual level (Van Schuur, 2003; Watson, Deary, & Shipley, 2008).”