A new look at the construct validity of the Kessler K6 using Rasch analysis

No Thumbnail Available
File version
Author(s)
Khan, Asaduzzaman
Chien, Chi-Wen
Burton, Nicola W
Griffith University Author(s)
Primary Supervisor
Other Supervisors
Editor(s)
Date
2014
Size
File type(s)
Location
License
Abstract

The Kessler six-item psychological distress (K6) scale is widely used to screen for mental disorders; however, information is lacking on the rating scale performance or dimensionality structure of the scale. This study used a population based sample (n = 7596) to evaluate the construct validity of the K6 scale using Rasch partial credit analysis. The analysis showed that almost all of the five-point rating scales in the K6 items were used appropriately to differentiate psychological distress of the study participants. The analysis provided evidence of unidimensionality of the scale, although items 1 (so sad) and 3 (restless or fidgety) might offer a potential second off-dimensional component. All items appeared to fit the Rasch model's expectation as demonstrated by the acceptable item fit statistics. The study participants demonstrated valid response patterns when answering K6 items, except for some who were younger or had higher psychological distress. This study using Rasch analysis confirms the construct validity of the K6 scale and suggests that the K6 is a useful and valid instrument for assessing psychological distress in the mid-aged general population. Further research can facilitate better understanding about the unidimensionality of the scale. Copyright © 2014 John Wiley & Sons, Ltd.

Journal Title

International Journal of Methods in Psychiatric Research

Conference Title
Book Title
Edition
Volume

23

Issue

1

Thesis Type
Degree Program
School
Publisher link
Patent number
Funder(s)
Grant identifier(s)
Rights Statement
Rights Statement
Item Access Status
Note
Access the data
Related item(s)
Subject

Clinical sciences

Clinical sciences not elsewhere classified

Persistent link to this record
Citation
Collections