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An Instructional Module on Mokken Scale Analysis

Educational Measurement: Issues and Practice, 2017
Mokken scale analysis (MSA) is a probabilistic‐nonparametric approach to item response theory (IRT) that can be used to evaluate fundamental measurement properties with less strict assumptions than parametric IRT models. This instructional module provides an introduction to MSA as a probabilistic‐nonparametric framework in which to explore measurement ...
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Minimum Sample Size Requirements for Mokken Scale Analysis

Educational and Psychological Measurement, 2014
An automated item selection procedure in Mokken scale analysis partitions a set of items into one or more Mokken scales, if the data allow. Two algorithms are available that pursue the same goal of selecting Mokken scales of maximum length: Mokken’s original automated item selection procedure (AISP) and a genetic algorithm (GA).
Straat, J.H.   +2 more
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The Chinese Version of the Gotland Male Depression Scale (GMDS): Mokken scaling

Journal of Affective Disorders, 2015
Invariant item ordering (IIO) is defined as the extent to which items have the same order for each respondent who completes a scale. IIO is crucial for establishing a scale hierarchy that is replicable across samples; however, no research has demonstrated IIO in the Gotland Male Depression Scale (GMDS).
Chin-Pang, Lee   +5 more
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Mokken scale analysis for polychotomous items: theory, a computer program and an empirical application

Quality and Quantity, 1990
This paper contains three subjects. First, an extension of Mokken's nonparametric item response models from dichotomous items to items with two or more ordered answer categories is proposed. Second, a computer program to analyze multicategory item scores is presented. This program is called MSP.
SIJTSMA, Klaas   +2 more
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Mokken Scaling Analysis of the Hospital Anxiety and Depression Scale in Individuals With Cardiovascular Disease

General Hospital Psychiatry, 2012
The Hospital Anxiety and Depression Scale (HADS) is a prolifically used scale of anxiety and depression. The original bidimensional anxiety-depression latent structure of the HADS has come under significant scrutiny, with previous studies revealing one-, two-, three- and four-dimensional structures.
Mark Ward, Roger Watson, Frank Doyle
exaly   +4 more sources

Mokken scale analysis of the UPDRS: dimensionality of the Motor Section revisited.

Neuro endocrinology letters, 2008
The dimensionality and reliability of the Motor Section of the Unified Parkinson Disease Rating Scale (UPDRS III) was studied with non-parametric Mokken scale analysis. UPDRS measures were obtained on 147 patients with PD (96 men, 51 women, mean age 61, range 35-80 yrs). Mokken scale analysis revealed a four-dimensional structure of the UPDRS III. Left-
Stochl, Jan   +4 more
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Refining a self-assessment of informatics competency scale using Mokken scaling analysis

Journal of Interprofessional Care, 2015
Healthcare environments are increasingly implementing health information technology (HIT) and those from various professions must be competent to use HIT in meaningful ways. In addition, HIT has been shown to enable interprofessional approaches to health care.
Sunmoo, Yoon   +2 more
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An application of Mokken's model for stochastic, cumulative scaling in psychiatric research

Journal of Psychiatric Research, 1987
Rating scales used in psychiatric research are often based on factor analysis. In practice, the resulting factors or dimensions will generally be empirically derived rather than based on theoretical considerations. In addition, it often proves difficult to determine their validity.
De Jong, Aant, Molenaar, Ivo W.
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A Mokken Scale Analysis of the Bayley-4 Cognitive Scale in Greece

European Journal of Psychological Assessment
Abstract: The fourth edition of the Bayley Scales of Infant and Toddler Development (Bayley-4) is a standardized tool for evaluating early developmental progress. This study examined the psychometric properties of the Cognitive scale (30 items) in the Greek context using a stratified sample of 500 typically developing children aged 16 days to 42 months.
Nikolaos Tsigilis, Demos Michael
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