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9. Multiple Imputation of Incomplete Categorical Data Using Latent Class Analysis
We propose using latent class analysis as an alternative to log-linear analysis for the multiple imputation of incomplete categorical data. Similar to log-linear models, latent class models can beExpand
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Mokken Scale Analysis for Dichotomous Items Using Marginal Models
TLDR
We introduce marginal modelling as a framework to derive the standard errors for the scaling coefficients and test hypotheses about these coefficients in Mokken scale analysis. Expand
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A Latent Class Approach to Estimating Test-Score Reliability
This study presents a general framework for single-administration reliability methods, such as Cronbach’s alpha, Guttman’s lambda-2, and method MS. This general framework was used to derive a newExpand
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Attachment insecurity, mentalization and their relation to symptoms in eating disorder patients
ABSTRACT Objective: To investigate the relationships of attachment security and mentalization with core and co-morbid symptoms in eating disorder patients. Method: We compared 51 eating disorderExpand
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Multiple Imputation of Item Scores in Test and Questionnaire Data, and Influence on Psychometric Results
The performance of five simple multiple imputation methods for dealing with missing data were compared. In addition, random imputation and multivariate normal imputation were used as lower and upperExpand
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A Comparative Study of Test Data Dimensionality Assessment Procedures Under Nonparametric IRT Models
In this article, an overview of nonparametric item response theory methods for determining the dimensionality of item response data is provided. Four methods were considered: MSP, DETECT, HCA/CCPROX,Expand
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A tutorial on how to do a Mokken scale analysis on your test and questionnaire data.
TLDR
We provide this tutorial to help researchers further optimize the construction of scales having desirable measurement properties, taking full advantage of MSA. Expand
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Standard Errors and Confidence Intervals for Scalability Coefficients in Mokken Scale Analysis Using Marginal Models
Mokken scale analysis is a popular method for scaling dichotomous and polytomous items. Whether or not items form a scale is determined by three types of scalability coefficients: (1) for pairs ofExpand
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Sample Size Requirements for Traditional and Regression-Based Norms
Test norms enable determining the position of an individual test taker in the group. The most frequently used approach to obtain test norms is traditional norming. Regression-based norming may beExpand
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Investigation and Treatment of Missing Item Scores in Test and Questionnaire Data
TLDR
This article first discusses a statistical test for investigating whether or not the pattern of missing scores in a respondent-by-item data matrix is random. Expand
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