Mokken Scale Analysis in R

By van der Ark, L. Andriès. 2007

539 citations recorded by the source corpus.

Mokken scale analysis (MSA) is a scaling procedure for both dichotomous and polytomous items. It consists of an item selection algorithm to partition a set of items into Mokken scales and several methods to check the assumptions of two nonparametric item response theory models: the monotone homogeneity model and the double monotonicity model. First, we present an R package mokken for MSA and explain the procedures. Second, we show how to perform MSA in R using test data obtained with the Adjective Checklist.

Subfields: Computer Networks and Communications, Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/15df3840ce14344ab56e6e0f6b81a2543f689d4e

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The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

  1. Klaas Sijtsma
  2. L. Andriès
  3. van der Ark
  4. L. V. D. Ark
  5. Rob R. Meijer
  6. Janneke M. te Marvelde
  7. Danie¨l
  8. Rudy Ligtvoet

In Management Science and Operations Research

  1. L. Andriès
  2. van der Ark
  3. Klaas Sijtsma
  4. L. V. D. Ark
  5. Rob R. Meijer
  6. L. A. van der Ark
  7. Janneke M. te Marvelde
  8. Danie¨l

In Statistics and Probability

  1. van der Ark
  2. L. Andriès
  3. Klaas Sijtsma
  4. L. V. D. Ark
  5. Rob R. Meijer
  6. Danie¨l
  7. W. Palm
  8. Janneke M. te Marvelde

Citations in the corpus