Item response theory and differential test functioning analysis of the HBSC-Symptom-Checklist across 46 countries
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15260%2F22%3A73615940" target="_blank" >RIV/61989592:15260/22:73615940 - isvavai.cz</a>
Result on the web
<a href="https://bmcmedresmethodol.biomedcentral.com/articles/10.1186/s12874-022-01698-3" target="_blank" >https://bmcmedresmethodol.biomedcentral.com/articles/10.1186/s12874-022-01698-3</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1186/s12874-022-01698-3" target="_blank" >10.1186/s12874-022-01698-3</a>
Alternative languages
Result language
angličtina
Original language name
Item response theory and differential test functioning analysis of the HBSC-Symptom-Checklist across 46 countries
Original language description
Background The Symptom Checklist (SCL) developed by the Health Behaviour in School-aged Children (HBSC) study is a non-clinical measure of psychosomatic complaints (e.g., headache and feeling low) that has been used in numerous studies. Several studies have investigated the psychometric characteristics of this scale; however, some psychometric properties remain unclear, among them especially a) dimensionality, b) adequacy of the Graded Response Model (GRM), and c) measurement invariance across countries. Methods Data from 229,906 adolescents aged 11, 13 and 15 from 46 countries that participated in the 2018 HBSC survey were analyzed. Adolescents were selected using representative sampling and surveyed by questionnaire in the classroom. Dimensionality was investigated using exploratory graph analysis. In addition, we investigated whether the GRM provided an adequate description of the data. Reliability over the latent variable continuum and differential test functioning across countries were also examined. Results Exploratory graph analyses showed that SCL can be considered as one-dimensional in 16 countries. However, a comparison of the unidimensional with a post-hoc bifactor GRM showed that deviation from a hypothesized one-dimensional structure was negligible in most countries. Multigroup invariance analyses supported configural and metric invariance, but not scalar invariance across 32 countries. Alignment analysis showed non-invariance especially for the items irritability, feeling nervous/bad temper and feeling low. Conclusion HBSC-SCL appears to represent a consistent and reliable unidimensional instrument across most countries. This bodes well for population health analyses that rely on this scale as an early indicator of mental health status.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
30304 - Public and environmental health
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
BMC Medical Research Methodology
ISSN
1471-2288
e-ISSN
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Volume of the periodical
22
Issue of the periodical within the volume
1
Country of publishing house
GB - UNITED KINGDOM
Number of pages
24
Pages from-to
nestrankovano
UT code for WoS article
000861915600003
EID of the result in the Scopus database
2-s2.0-85138983650