scholarly journals Properties of a Transport Instrument for Measuring Psychological Impacts of Delay on Commuters, Mokken Scale Analysis

2021 ◽  
Vol 12 ◽  
Author(s):  
Mahdi Rezapour ◽  
Cristopher Veenstra ◽  
Kelly Cuccolo ◽  
F. Richard Ferraro
Keyword(s):  
Parametric Method ◽  
Model Fit ◽  
Scale Analysis ◽  
Detailed Model ◽  
Mokken Scale Analysis ◽  
Transport Delay ◽  
The Public ◽  
Scaling Procedure ◽  
Stomach Pain ◽  
Minimum Requirements

This study assessed the validity of instrument including various negative psychological and physical behaviors of commuters due to the public transport delay. Instruments have been mostly evaluated by parametric method of item response theory (IRT). However, the IRT has been characterized by some restrictive assumptions about the data, focusing on detailed model fit evaluation. The Mokken scale analysis (MSA), as a scaling procedure is a non-parametric method, which does not require adherence to any distribution. The results of the study show that in most regards, our instrument meets the minimum requirements highlighted by the MSA. However, the instrument did not adhere to the minimum requirements of the “scalability” for two variables including “stomach pain” and “increased heart rate”. So, modifications were proposed to address the violations. Although MSA technique has been used frequently in other fields, this is one of the earliest studies to implement the technique in the context of transport psychology.

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
Sign in / Sign up

Export Citation Format

Share Document