Latent vs. Network Psychometric Validation : The Example of
Cross-National Evaluation of the Internet Gaming Disorder Scale
in European Adolescents

k 2025

Latent vs. Network Psychometric Validation : The Example of Cross-National Evaluation of the Internet Gaming Disorder Scale in European Adolescents

STAŠEK, Andrea a Lukas BLINKA

Základní údaje

Originální název

Latent vs. Network Psychometric Validation : The Example of Cross-National Evaluation of the Internet Gaming Disorder Scale in European Adolescents

Autoři

STAŠEK, Andrea a Lukas BLINKA

Vydání

10th International Conference on Behavioral Addictions (ICBA) 2025, 7.-9. 7. 2025 Nantes, 2025

Další údaje

Jazyk

angličtina

Typ výsledku

Prezentace na konferencích

Obor

50101 Psychology

Stát vydavatele

Francie

Utajení

není předmětem státního či obchodního tajemství

Odkazy

book of abstracts

Označené pro přenos do RIV

Ano

Kód RIV

RIV/00216224:14230/25:00141733

Organizační jednotka

Fakulta sociálních studií

Klíčová slova česky

porucha hraní; latentní faktorová analýza; síťová analýza; psychometrika; prevalence

Klíčová slova anglicky

gaming disorder; latent factor analysis; network analysis; psychometrics; prevalence

Štítky

rivok

Změněno: 23. 3. 2026 10:43, Mgr. Blanka Farkašová

Anotace

V originále

Effective measurement practices are critical in addiction-like disorder research to avoid overpathologization or underdetection of health risks. While factor analytic (FA) approaches dominate questionnaire validation, their causal assumptions are rarely discussed. Additionally, model fit evaluations often rely on Hu and Bentler's (1999) guidelines, which may not generalize beyond their original simulation conditions. This study applied both factor and network psychometric approaches to validate the 9-item Internet Gaming Disorder Scale (Lemmens et al., 2015) using data from the Health Behavior in School-aged Children project (N = 44,126; adolescents aged 11–15 from 12 European regions). The approaches were compared for utility, theoretical soundness, and empirical outcomes. Findings revealed that: (1) conventional fit index cut-offs could yield divergent validity interpretations; (2) the network approach provided nuanced insights into invariance patterns across data; and (3) dynamic fit index cut-offs (e.g., McNeish & Wolf, 2023) offered a more robust assessment of model fit. Additionally, exploratory graph analysis and network trees were critically evaluated for their benefits and limitations. Validation studies should align causal theoretical assumptions with appropriate statistical methods. Advances in psychometrics provide refined tools that improve measurement practices. These findings contribute to ongoing debates on the conceptualization and measurement of gaming and other addiction-related disorders.

Návaznosti

CZ.02.01.01/00/22_008/0004583, interní kód MU
(Kód CEP: EH22_008/0004583)

Název: Excelentní výzkum v oblasti digitálních technologií a wellbeingu

Investor: Ministerstvo školství, mládeže a tělovýchovy ČR, Excelentní výzkum v oblasti digitálních technologií a wellbeingu, Priorita 1 - Výzkum a vývoj

EH22_008/0004583, projekt VaV

Název: Excelentní výzkum v oblasti digitálních technologií a wellbeingu

Přiložené soubory

ppt_Stasek_ICBA2025.pptx Verze souboru

Citovat

STAŠEK, Andrea a Lukas BLINKA. Latent vs. Network Psychometric Validation : The Example of Cross-National Evaluation of the Internet Gaming Disorder Scale in European Adolescents. In 10th International Conference on Behavioral Addictions (ICBA) 2025, 7.-9. 7. 2025 Nantes. 2025.

@proceedings{2511337,
   author = {Stašek, Andrea and Blinka, Lukas},
   booktitle = {10th International Conference on Behavioral Addictions (ICBA) 2025, 7.-9. 7. 2025 Nantes},
   keywords = {gaming disorder; latent factor analysis; network analysis; psychometrics; prevalence},
   language = {eng},
   title = {Latent vs. Network Psychometric Validation : The Example of Cross-National Evaluation of the Internet Gaming Disorder Scale in European Adolescents},
   url = {https://akjournals.com/view/journals/2006/14/supplement1/article-p1.xml},
   year = {2025}
}

TY  - CONF
ID  - 2511337
AU  - Stašek, Andrea - Blinka, Lukas
PY  - 2025
TI  - Latent vs. Network Psychometric Validation : The Example of Cross-National Evaluation of the Internet Gaming Disorder Scale in European Adolescents
KW  - gaming disorder
KW  - latent factor analysis
KW  - network analysis
KW  - psychometrics
KW  - prevalence
UR  - https://akjournals.com/view/journals/2006/14/supplement1/article-p1.xml
N2  - Effective measurement practices are critical in addiction-like disorder research to avoid overpathologization or underdetection of health risks. While factor analytic (FA) approaches dominate questionnaire validation, their causal assumptions are rarely discussed. Additionally, model fit evaluations often rely on Hu and Bentler's (1999) guidelines, which may not generalize beyond their original simulation conditions. This study applied both factor and network psychometric approaches to validate the 9-item Internet Gaming Disorder Scale (Lemmens et al., 2015) using data from the Health Behavior in School-aged Children project (N = 44,126; adolescents aged 11–15 from 12 European regions). The approaches were compared for utility, theoretical soundness, and empirical outcomes. Findings revealed that: (1) conventional fit index cut-offs could yield divergent validity interpretations; (2) the network approach provided nuanced insights into invariance patterns across data; and (3) dynamic fit index cut-offs (e.g., McNeish & Wolf, 2023) offered a more robust assessment of model fit. Additionally, exploratory graph analysis and network trees were critically evaluated for their benefits and limitations. Validation studies should align causal theoretical assumptions with appropriate statistical methods. Advances in psychometrics provide refined tools that improve measurement practices. These findings contribute to ongoing debates on the conceptualization and measurement of gaming and other addiction-related disorders.
ER  -

STAŠEK, Andrea a Lukas BLINKA. Latent vs. Network Psychometric Validation : The Example of Cross-National Evaluation of the Internet Gaming Disorder Scale in European Adolescents. In \textit{10th International Conference on Behavioral Addictions (ICBA) 2025, 7.-9. 7. 2025 Nantes}. 2025.

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