706 research outputs found

    Mokken Scale Analysis in R

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    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.

    Getting started with Mokken Scale Analysis in R

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    The effect of missing data imputation on Mokken scale analysis

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    Progress in NIRT analysis of polytomous item scores:Dilemmas and practical solutions

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    Categorical marginal models: quite extensive package for the estimation of marginal models for categorical data

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    A package accompanying the book Marginal Models for Dependent, Clustered, and Longitudinal Categorical Data by Bergsma, Croon, & Hagenaars, 2009. It’s purpose is fitting and testing of marginal models
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