logo
Volume 25, Issue 3 (6-2026)                   JRUMS 2026, 25(3): 253-270 | Back to browse issues page

Ethics code: SEP/14043/48/4791


XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Arbezi M, Fouladchang M. Investigating the Factor Structure, Validity, and Reliability of the Persian KidScreen-27 Questionnaire: A Tool for Assessing the Well-Being of Iranian Students. JRUMS 2026; 25 (3) :253-270
URL: http://journal.rums.ac.ir/article-1-7928-en.html
Shiraz University
Full-Text [PDF 1151 kb]   (14 Downloads)     |   Abstract (HTML)  (29 Views)
Full-Text:   (12 Views)
Investigating the Factor Structure, Validity, and Reliability of the Persian KidScreen-27 Questionnaire: A Tool for Assessing the Well-Being of Iranian Students

Mohsen Arbezi[1], Mahboobeh Fooladchang[2]
                                                                                                                                                                                                                                                                                                                                                                                                                                                  
Received: 27/01/26       Sent for Revision: 07/04/26       Received Revised Manuscript: 10/06/26   Accepted: 13/06/26

Background and Objectives: Children's quality of life plays a crucial role in their healthy development. Therefore, it is crucial to adapt valid instruments for its assessment. This study aimed to evaluate the psychometric properties of the Persian version of the KIDSCREEN-27 questionnaire among fourth-to sixth-grade elementary school students.
Materials and Methods: This descriptive study was conducted on 566 students from schools in Fars Province, Iran; they were selected using convenience sampling during the 2022–2023 academic year. Participants completed the electronic versions of the KIDSCREEN-27 questionnaire (Ravens-Sieberer et al., 2014), the Child Well-Being and Social Safeness Questionnaire (Goldberg et al., 2019), and the Victimization Scale (Cheng et al., 2011). Construct validity was evaluated using exploratory and confirmatory factor analyses and correlations with related instruments. Reliability was assessed using Cronbach's alpha and composite reliability.
Results: Exploratory factor analysis extracted a five-factor structure explaining 64.52% of the total variance. Confirmatory factor analysis supported the extracted structure (Chi-square to degrees of freedom ratio=2.37, Root Mean Square Error of Approximation=0.07, Comparative Fit Index=0.91). Correlations between the KIDSCREEN-27 subscales and the Child Well-Being and Social Safeness Questionnaire ranged from 0.25 to 0.73, while correlations with the Victimization Scale ranged from −0.13 to −0.48, supporting the convergent and divergent validity of the questionnaire. Furthermore, Cronbach's alpha and composite reliability coefficients for the total score were 0.94 and 0.95, respectively.
Conclusion: The Persian version of the KIDSCREEN-27 demonstrates satisfactory psychometric properties for assessing the quality of life of upper elementary school children.
Keywords: Reliability, Fourth- to sixth-grade students, Validity, Children's quality of life

Funding: This study did not receive any funds.
Conflicts of interest: None declared.
Ethical considerations: The Ethics Committee of the Faculty of Education and Psychology at Shiraz University approved the study (SEP/14043/48/4791).
Authors' contributions:
Conceptualization: Mohsen Arbezi
Methodology: Mohsen Arbezi
Data collection: Mohsen Arbezi
Formal analysis: Mohsen Arbezi
Supervision: Mahboobeh Fooladchang
Project administration: Mohsen Arbezi
Writing - original draft: Mohsen Arbezi
Citation: Arbezi M, Fooladchang M. Investigating the Factor Structure, Validity, and Reliability of the Persian KidScreen-27 Questionnaire: A Tool for Assessing the Well-Being of Iranian Students. J Rafsanjan Univ Med Sci 2026; 25 (3): 253-70.
 
doi: 10.66224/jrums.25.3.253. [Farsi].
Writing - review & editing: Mohsen Arbezi, Mahboobeh Fooladchang
 
[1] - PhD Candidate in Educational Psychology, Faculty of Education and Psychology, Shiraz University, Shiraz, Iran
[2]- Associate Prof. of Educational Psychology, Faculty of Education and Psychology, Shiraz University, Shiraz, Iran
    ORCID: 0000-0002-3338-5248
(Corresponding Author) Tel: (071) 36134696, E-mail: Foolad@Shirazu.ac.ir
Type of Study: Research | Subject: Environmental Health
Received: 2026/01/13 | Accepted: 2026/07/26 | Published: 2026/06/20

References
1. Huitt W, Lutz S. Becoming a Brilliant Star: Twelve core ideas supporting holistic education. 2018; La Vergne: IngramSpark.‌
2. Ravens-Sieberer U, Gosch A, Rajmil L, Erhart M, Bruil J, Duer W, KIDSCREEN Group E. KIDSCREEN-52 quality-of-life measure for children and adolescents. Expert Rev Pharmacoecon Outcomes Res 2005; 5(3): 53-64.‌
3. Ravens-Sieberer U, Auquier P, Erhart M, Gosch A, Rajmil L, Bruil J, et al. The European KIDSCREEN Group. The KIDSCREEN-27 quality of life measure for children and adolescents: psychometric results from a cross-cultural survey in 13 European countries. Qual Life Res 2007; 16: 47–56.
4. Erhart M, Ottova V, Gaspar T, Jericek H, Schnohr C, Alikasifoglu M, HBSC Positive Health Focus Group. Measuring mental health and well-being of school-children in 15 European countries using the KIDSCREEN-10 Index. Int J Public Health 2009; 54(2): 0-6.‌
5. Ravens-Sieberer U, Erhart M, Rajmil L, Herdman M, Auquier P, Bruil, J, European KIDSCREEN Group. Reliability, construct and criterion validity of the KIDSCREEN-10 score: a short measure for children and adolescents’ well-being and health-related quality of life. Qual Life Res 2010; 19(10): 487-500.‌
6. Ravens-Sieberer U, Herdman M, Devine J, Otto C, Bullinger M, Rose M, et al. The European KIDSCREEN approach to measure quality of life and well-being in children: development, current application, and future advances. Qual Life Res 2014; 23(3): 791-803.‌
7. Reynolds AJ, Mersky J. Promoting child well-being through early intervention: findings from the Chicago Longitudinal Study. In: Lindsey D, Shlonsky A, editors. Child Welfare Research: Advances for Practice and Policy. New York: Oxford University Press; 2008. p. 291-306.
8. Sinno D, Charafeddine L, Mikati M. Enhancing childhood development in children with behavioral and psychological disorders. In: Mikati MA, Hotez PJ, editors. Enhancing Early Child Development: A Handbook for Clinicians. New York (NY): Springer; 2012. p. 15-27.
9. Kline RB, Little TD. Principles and practice of structural equation modeling (5th ed.). The Guilford Press. 2023. p. 156-74.
10. Nik-Azin A, Naeinian MR, Shairi MR. Validity and reliability of Health-Related Quality of Life Questionnaire" KIDSCREEN-27" in a sample of Iranian students. Iran J Psychiatry Clin Psychol 2013; 18(4): 10-21. [Farsi]
11. Goldberg JM, Clarke AM, Klooster PMT, Schreurs KM, Bohlmeijer ET. Wellbeing and Social Safeness Questionnaire (WSSQ): Initial psychometric assessment of a short digital screening instrument for primary school children. Cogent Education 2019; 6(1): 1-13.
12. Arbezi M, Fouladchang M. Investigating the Factor Structure and Psychometric Properties of the Persian Version of the Children’s Wellbeing and Social Safeness Questionnaire within the Iranian Cultural Context: A Multidimensional Approach to Validity. 2024; Faculity of Education and Psychology, Shiraz University. Farsi
13. Cheng Y, Chen L, Liu K, Chen Y. Development and Psychometric Evaluation of the School Bullying Scales: A Rasch Measurement Approach. Educ Psychol Meas 2011; 71(1): 00-16.
14. Ye Z, Wu D, He X, Ma Q, Peng J, Mao G, et al. Meta-analysis of the relationship between bullying and depressive symptoms in children and adolescents. BMC Psychiatry 2023; 23(1).‌
15. Gong Z, Reinhardt JD, Han Z, Ba Z, Lei S. Associations between school bullying and anxiety in children and adolescents from an ethnic autonomous county in China. Psychiatry Res 2022; 314.
16. Shrestha N. Factor analysis as a tool for survey analysis. Am J Appl Math Stat 2021; 9(1): 4-11.‌
17. Tabachnick BG, Fidell LS. Using multivariate statistics (6th ed.). Upper Saddle River, NJ: Pearson. 2013. https://www.pearson.com/en-us/subject-catalog/p/using-multivariate-statistics/P200000003097/9780137526543
18. Sathyanarayana S, Mohanasundaram T. Fit Indices in Structural Equation Modeling and Confirmatory Factor Analysis: Reporting Guidelines. Asian J Bus Account 2024; 24(7): 61-77.
19. Hinkle DE, Wiersma W, Jurs SG. Applied statistics for the behavioral sciences - 5th edition. Boston, Mass: Houghton Mifflin. 2015. www.amazon.com/ Applied-Statistics-Behavioral-Sciences-Dennis/dp/0618124055#
20. Hair JF, Black WC, Babin BJ, Anderson RE. Multivariate Data Analysis (8th ed.). Cengage Learning. 2019.
21. Mitchell ML, Jolley JM. Research design explained. Cengage Learning. 2012.
22. Cicchetti DV. Guidelines, criteria, and rules of thumb for evaluating normed and standardized assessment instruments in psychology. Psychol Assess 1994; 6(4): 84–90.
23.  

Add your comments about this article : Your username or Email:
CAPTCHA

Send email to the article author


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.