Czech Validation of the Online Gambling Disorder Questionnaire (OGD-Q)

Online gambling poses a growing public health concern, and validating measures like the Online Gambling Disorder Questionnaire in the Czech context is essential to start addressing this issue. The objective is to examine the psychometric properties and adapt the scale to the Czech context. A nationwide sample of 5985 Czech adults was used. Confirmatory factor analysis was conducted to examine model fit with the data. Network analysis was performed to examine the item dynamics. The construct validity was assessed by examining associations with other measures using Spearman’s correlations. Measurement invariances were examined in age and gender. The network analysis identified three item communities with high strength centrality, except for one item. The results revealed an excellent fit for one-factor and three-factor models with good internal consistency. The construct validity revealed significant positive correlations between the scale and distress and risk behaviours. Measurement invariances were supported in both gender and age.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-16
DOI
https://doi.org/10.5281/zenodo.17129307
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
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article

Czech Validation of the Online Gambling Disorder Questionnaire (OGD-Q)

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

Czech Validation of the Online Gambling Disorder Questionnaire (OGD-Q)

article en

Abstract

Online gambling poses a growing public health concern, and validating measures like the Online Gambling Disorder Questionnaire in the Czech context is essential to start addressing this issue. The objective is to examine the psychometric properties and adapt the scale to the Czech context. A nationwide sample of 5985 Czech adults was used. Confirmatory factor analysis was conducted to examine model fit with the data. Network analysis was performed to examine the item dynamics. The construct validity was assessed by examining associations with other measures using Spearman’s correlations. Measurement invariances were examined in age and gender. The network analysis identified three item communities with high strength centrality, except for one item. The results revealed an excellent fit for one-factor and three-factor models with good internal consistency. The construct validity revealed significant positive correlations between the scale and distress and risk behaviours. Measurement invariances were supported in both gender and age.

Zenodo (CERN European Organization for Nuclear Research)
Palacký University Olomouc (CZ)
Gender equality
Openalex Percentile: Top 39%
Geochemistry and Geologic Mapping
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