Measuring risky loot box use: An item response theory analysis of the Risky Loot Box Index among adolescents.


Journal

Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors
ISSN: 1939-1501
Titre abrégé: Psychol Addict Behav
Pays: United States
ID NLM: 8802734

Informations de publication

Date de publication:
01 Apr 2024
Historique:
medline: 1 4 2024
pubmed: 1 4 2024
entrez: 1 4 2024
Statut: aheadofprint

Résumé

Loot boxes (LBs) are virtual items embedded within video games that contain randomly generated in-game prizes. LB use can become risky, so it is important to have good measurement instruments, especially among adolescents, who are particularly involved in video gaming and LB purchasing. The present study analyses the adequacy of the Participants were 2,443 (59% males, mean age = 16.48, The 2PL logistic model was applied. Item properties (i.e., severity and discrimination) were consistent with the aim of efficiently measuring risky LB use. The test information function indicated that the instrument was adequately informative. The RLI appeared to be invariant across gender, with male adolescents more at-risk than female adolescents. LB engagement was also found to explain latent trait of risky LB use over and beyond video gaming and gambling frequency and severity when controlling for gender. The RLI is an efficient screening tool that can specifically measure risky LB use among youth. It can profitably be used for research and intervention purposes. The promising usefulness of the IRT score for clinical purposes is also discussed. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Identifiants

pubmed: 38557083
pii: 2024-69061-001
doi: 10.1037/adb0001009
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Regione Toscana

Auteurs

Caterina Primi (C)

Department of Neuroscience, Psychology, Drug, and Child's Health, Section of Psychology, University of Florence.

Francesco Sanson (F)

Department of Neuroscience, Psychology, Drug, and Child's Health, Section of Psychology, University of Florence.

Maria Anna Donati (MA)

Department of Neuroscience, Psychology, Drug, and Child's Health, Section of Psychology, University of Florence.

Classifications MeSH