Psychometric Evaluation of Dsm-5 Cross–Cutting Symptoms

Authors

  • Dr. Abida Kareem
  • Dr. Rabia Khawar
  • Dr. Rabia Maryam
  • Ansa Talib
  • Dr. Muhammad Naveed Riaz

DOI:

https://doi.org/10.53555/ks.v12i2.2880

Keywords:

Cross-Cutting symptoms, Construct validity, Confirmatory Factor Analysis, Pakistan

Abstract

Objectives: To translate and validate the DSM-5 Self-Rated Level 1 Cross-Cutting Symptoms Measure –Child 11-17 into Urdu and to establish its psychometric validation on Pakistani adolescents.Materials and Methods: We followed the World Health Organization guidelines to translate the original version into Urdu language. Cross-language concordance was determined on a bilingual sample of 50 adolescents. To validate the study, an additional 260 adolescents filled the CCSM Urdu and Strength and Difficulties Questionnaire. Confirmatory factor analysis was used to determine the construct validity. Additionally, convergent and divergent validity was also reported.Results: Results indicated a significant correlation in cross-language concordance between English and Urdu Versions of CCSM. Urdu version of CCSM showed good internal consistency (α = 0.81) for 19 items rated on a 5-point Likert-type scale and KR-20 (.70) for a dichotomous scale. Confirmatory Factor Analysis revealed that the Urdu-translated version of the CCSM has good construct validity (CFI = .97, TLI .96, RMSEA = .044) with factor loadings ranging from .36 to .75. The subscales of CCSM and SDQ (difficulty subscales) was found to be significantly positively correlated while significant negative correlation between CCSM subscales and SDQ (strength subscale), supporting the convergent and divergent validity respectively.Conclusions: The Urdu version of CCSM is a reliable and valid tool to identify psychopathological symptoms in Pakistani adolescents.

Author Biographies

Dr. Abida Kareem

Assistant Professor Department of Applied Psychology Government College University Faisalabad

Dr. Rabia Khawar

Professor Department of Applied Psychology Government College University Faisalabad

Dr. Rabia Maryam

Assistant Professor Department of Applied Psychology Government College University Faisalabad

Ansa Talib

Associate professor Government Graduate College for women Faisalabad

Dr. Muhammad Naveed Riaz

Assistant Professor Department of Psychology University of Sargodha

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Published

2024-04-19

How to Cite

Dr. Abida Kareem, Dr. Rabia Khawar, Dr. Rabia Maryam, Ansa Talib, & Dr. Muhammad Naveed Riaz. (2024). Psychometric Evaluation of Dsm-5 Cross–Cutting Symptoms. Kurdish Studies, 12(2), 6552–6562. https://doi.org/10.53555/ks.v12i2.2880

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