Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

Progressing measurement in mental toughness: A case example of the Mental Toughness Questionnaire 48.

Authors: Daniel F. Gucciardi; Sheldon Hanton; Clifford J. Mallett;

Progressing measurement in mental toughness: A case example of the Mental Toughness Questionnaire 48.

Abstract

Mental toughness has received increasing attention in the field of performance psychology, yet issues remain about its measurement by self-report. In this article, we have summarized mental toughness measurement issues and, as an example, provided a psychometric examination of the most frequently used measure. In an effort to operationalize mental toughness, Clough, Earle, and Sewell (2002) developed the Mental Toughness Questionnaire 48 (MTQ 48) and provided initial evidence for its reliability and validity. Subsequent research has partially supported the internal reliability and validity of the MTQ 48. However, no research has rigorously tested the factorial structure of the hypothesized model underlying this scale. Using two independent samples of performers from various sports (n = 686) and the workplace (n = 639), we sought to examine the factorial validity of the MTQ 48 using confirmatory factor analysis (CFA) and exploratory structural equation modeling (ESEM). Both CFA and ESEM indicated that the hypothesized correlated four factor model did not fit the data well in the athlete and workplace samples. Our overview of measurement issues and empirical case study of the MTQ 48 underscore the importance of having a clearly articulated conceptual underpinning combined with rigorous statistical procedures in attempting to develop a mental toughness inventory.

Countries
Australia, United Kingdom
Keywords

150, 610, Exploratory structural equation modeling, 17 Psychology and Cognitive Sciences, 1701 Psychology, Personal resources, Factorial validity, Mentally tough

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    61
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
61
Top 10%
Top 10%
Top 10%
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!