An Instructional Module on Mokken Scale Analysis

2017 ◽  
Vol 36 (2) ◽  
pp. 50-66 ◽  
Author(s):  
Stefanie A. Wind
Keyword(s):  
Scale Analysis ◽  
Mokken Scale Analysis ◽  
Instructional Module

The Techniques for Overcoming Depression Questionnaire: Mokken Scale Analysis, Reliability, and Concurrent Validity

2016 ◽  
Vol 85 ◽  
pp. 65 ◽  
Author(s):  
K.E. Freedland ◽  
M. Lemos ◽  
F. Doyle ◽  
B.C. Steinmeyer ◽  
I. Csik ◽  
...  
Keyword(s):  
Concurrent Validity ◽  
Scale Analysis ◽  
Mokken Scale Analysis

Mokken Scale Analysis: Discussion and Application

2021 ◽  
Vol 8 (3) ◽  
pp. 672-695
Author(s):  
Thomas DeVaney
Keyword(s):  
Item Response Theory ◽  
Item Response ◽  
Rating Scale ◽  
Scale Analysis ◽  
Guttman Scale ◽  
Response Theory ◽  
Data Set ◽  
Mokken Scale Analysis ◽  
Irt Models ◽  
Guttman Scaling

This article presents a discussion and illustration of Mokken scale analysis (MSA), a nonparametric form of item response theory (IRT), in relation to common IRT models such as Rasch and Guttman scaling. The procedure can be used for dichotomous and ordinal polytomous data commonly used with questionnaires. The assumptions of MSA are discussed as well as characteristics that differentiate a Mokken scale from a Guttman scale. MSA is illustrated using the mokken package with R Studio and a data set that included over 3,340 responses to a modified version of the Statistical Anxiety Rating Scale. Issues addressed in the illustration include monotonicity, scalability, and invariant ordering. The R script for the illustration is included.

scholarly journals A Mokken scale analysis of the Kessler-6 screening measure among Chinese older population: findings from a national survey

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Lisong Zhang ◽  
Zhongquan Li
Keyword(s):  
Psychological Distress ◽  
Psychometric Properties ◽  
Differential Item Functioning ◽  
Scale Analysis ◽  
Older Population ◽  
Old Chinese ◽  
Mokken Scale Analysis ◽  
Screening Measure ◽  
Item Functioning ◽  
Public Data

Abstract Background The aging population increases rapidly across the world. Timely and effective screening of their mental-health problems is important to individuals, families, and the whole society. The Kessler-6 screening measure (K6) is a very popular instrument for non-specific psychological distress. However, few studies have focused on the psychometric properties of this instrument in the older population. Methods The present study employed Mokken scale analysis to evaluate its dimensionality and structure. This study also used differential item functioning (DIF) to examine whether the same structure existed across sex in a national representative sample of old Chinese people. Data were drawn from a public data set, the 2010 China Family Panel Studies (CFPS2010), and responses from a total of 6450 participants aged 60 years old and above (3136 males and 3314 females) were included in the final analysis. Results Mokken scale analysis supported the unidimensional structure of the K6. Differential item functioning (DIF) analysis revealed that two of the six items (“Hopeless” and “Everything was an effort”) were marked for DIF based on the Chi-square. However, their impacts were negligible in terms of McFadden’s pseudo R2. Conclusions The K6 demonstrates adequate psychometric properties in the old Chinese population. The sum of all six items can be used as an indicator of non-specific psychological distress. Differences in the indicator across sex should be considered as a real difference in psychological distress between the female and the male.

scholarly journals Development of grading scales of pedal sensory loss using Mokken scale analysis on the Rotterdam Diabetic Foot Study Test Battery data

2019 ◽  
Vol 60 (5) ◽  
pp. 520-527 ◽  
Author(s):  
Willem D. Rinkel ◽  
M. Hosein Aziz ◽  
Johan W. Van Neck ◽  
Manuel Castro Cabezas ◽  
L. Andries Ark ◽  
...  
Keyword(s):  
Diabetic Foot ◽  
Test Battery ◽  
Sensory Loss ◽  
Scale Analysis ◽  
Mokken Scale Analysis ◽  
Study Test ◽  
Grading Scales

A Demonstration of Mokken Scale Analysis Methods Applied to Cognitive Test Validation Using the Egyptian WAIS-IV

2019 ◽  
Vol 38 (4) ◽  
pp. 493-506
Author(s):  
Gomaa S. M. Abdelhamid ◽  
Juana Gómez-Benito ◽  
Ahmed T. M. Abdeltawwab ◽  
Mostafa H. S. Abu Bakr ◽  
Amina M. Kazem
Keyword(s):  
Cognitive Test ◽  
Scale Analysis ◽  
Adult Intelligence Scale ◽  
Mokken Scale Analysis ◽  
Wechsler Adult Intelligence Scale ◽  
Adult Intelligence ◽  
Sum Score ◽  
Matrix Reasoning ◽  
Wechsler Adult Intelligence ◽  
Unidimensional Scale

The fourth edition of the Wechsler Adult Intelligence Scale (WAIS-IV) has been used extensively for assessing adult intelligence. This study uses Mokken scale analysis to investigate the psychometric proprieties of WAIS-IV subtests adapted for the Egyptian population in a sample of 250 adults between 18 and 25 years of age. The monotone homogeneity model and the double monotonicity model were consistent with the subtest data. The items of all subtests except Matrix Reasoning, Information, Similarities, and Vocabulary formed a unidimensional scale. The WAIS-IV subtests have discriminatory and invariantly ordered items, although some items violated the invariant item ordering and scalability criteria. Therefore, the WAIS-IV subtests—with the exception of some items—are hierarchical scales that allow items to be ordered according to difficulty and subjects to be ordered using the sum score. In conclusion, the current study provides evidence of the dimensionality and hierarchy of the WAIS-IV subtests in the framework of Mokken scaling, although care should be taken when interpreting or including certain items.

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