z-logo
open-access-imgOpen Access
The Career Distress Scale
Author(s) -
Peter A. Creed,
Michelle Hood,
Anna Praskova,
Guido Makransky
Publication year - 2015
Publication title -
journal of career assessment
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.07
H-Index - 59
eISSN - 1552-4590
pISSN - 1069-0727
DOI - 10.1177/1069072715616126
Subject(s) - psychology , distress , nomological network , construct validity , scale (ratio) , psychometrics , clinical psychology , item response theory , reliability (semiconductor) , rasch model , construct (python library) , test (biology) , applied psychology , social psychology , developmental psychology , power (physics) , paleontology , physics , quantum mechanics , computer science , biology , programming language
Career distress is a common and painful outcome of many negative career experiences, such as career indecision, career compromise, and discovering career barriers. However, there are very few scales devised to assess career distress, and the two existing scales identified have psychometric weaknesses. The absence of a practical, validated scale to assess this construct restricts research related to career distress and limits practitioners who need to assess and treat it. Using a sample of 226 young adults (mean age 20.5 years), we employed item response theory to assess 12 existing career distress items for model fit, item bias, location dependency, dimensionality, reliability, response option suitability, and construct validity. Three of the 12 items examined were removed as they did not fit the Rasch model or were not invariant across groups. The remaining 9 items, which we combined into a scale labeled the Career Distress Scale, demonstrated excellent psychometric properties, meaning that both researchers and practitioners can use it with confidence. Continued validation is required, including testing its relationship to other nomological net variables, testing predictive validity, and assessing test–retest reliability.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom