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Article

The YSQ-R: Predictive Validity and Comparison to the Short and Long Form Young Schema Questionnaire

1
School of Psychology and Exercise Science, Murdoch University, Murdoch, WA 6150, Australia
2
Department of Psychiatry, Faculty of Health and Medical Sciences, University of Western Australia, Crawley, WA 6009, Australia
3
Discipline of Psychological Sciences, Australian College of Applied Professions, Northbridge, WA 6003, Australia
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2023, 20(3), 1778; https://doi.org/10.3390/ijerph20031778
Submission received: 30 November 2022 / Revised: 15 January 2023 / Accepted: 16 January 2023 / Published: 18 January 2023

Abstract

The capacity of the Young Schema Questionnaire (YSQ) to predict psychopathology in specific clinical groups has consistently produced mixed findings. This study assessed three versions of the Young Schema Questionnaire (YSQ), including the long form (YSQ-L3), short form (YSQ-S3), and the recent Rasch-derived version, the YSQ-R, and their subscales, in predicting psychological distress in three different psychiatric groups and a non-clinical group. Test equating techniques were first applied to derive a common metric to ensure that each YSQ version was directly comparable. In the second stage, multiple regression analyses were employed to assess the predictive validity of each YSQ version and their subscales. The YSQ-R and YQ-L3 and their respective subscales were similar in their predictive power across all groups and conditions. The YSQ-S3 could not predict pre-treatment Early Maladaptive Schemas (EMS) and global symptom severity in the PTSD group, nor could it predict pre-treatment EMS and changes in global symptom severity in the Alcohol and Substance Use group. This was the first study to assess the predictive validity of three different versions of the YSQ. Our findings suggest that YSQ-R has the breadth of the YSQ-L3 and the shortness of the YSQ-S3, making it an ideal tool for assessing EMS across research and clinical settings.
Keywords: YSQ-R; YSQ-L3; YSQ-S3; predictive validity; schema; test equating; EMS YSQ-R; YSQ-L3; YSQ-S3; predictive validity; schema; test equating; EMS

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MDPI and ACS Style

Yalcin, O.; Marais, I.; Lee, C.W.; Correia, H. The YSQ-R: Predictive Validity and Comparison to the Short and Long Form Young Schema Questionnaire. Int. J. Environ. Res. Public Health 2023, 20, 1778. https://doi.org/10.3390/ijerph20031778

AMA Style

Yalcin O, Marais I, Lee CW, Correia H. The YSQ-R: Predictive Validity and Comparison to the Short and Long Form Young Schema Questionnaire. International Journal of Environmental Research and Public Health. 2023; 20(3):1778. https://doi.org/10.3390/ijerph20031778

Chicago/Turabian Style

Yalcin, Ozgur, Ida Marais, Christopher William Lee, and Helen Correia. 2023. "The YSQ-R: Predictive Validity and Comparison to the Short and Long Form Young Schema Questionnaire" International Journal of Environmental Research and Public Health 20, no. 3: 1778. https://doi.org/10.3390/ijerph20031778

APA Style

Yalcin, O., Marais, I., Lee, C. W., & Correia, H. (2023). The YSQ-R: Predictive Validity and Comparison to the Short and Long Form Young Schema Questionnaire. International Journal of Environmental Research and Public Health, 20(3), 1778. https://doi.org/10.3390/ijerph20031778

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