
Typology of online lotteries and scratch games gamblers' behaviours: A multilevel latent class cluster analysis applied to player account‐based gambling data
Author(s) -
Perrot Bastien,
Hardouin JeanBenoit,
GrallBronnec Marie,
ChalletBouju Gaëlle
Publication year - 2018
Publication title -
international journal of methods in psychiatric research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.275
H-Index - 73
eISSN - 1557-0657
pISSN - 1049-8931
DOI - 10.1002/mpr.1746
Subject(s) - typology , latent class model , psychology , cluster (spacecraft) , the internet , class (philosophy) , social psychology , computer science , world wide web , artificial intelligence , sociology , machine learning , anthropology , programming language
Objectives Internet gambling is often considered as a risk factor for gambling problems compared with land‐based gambling. In parallel, this online activity generates data that can be useful to characterize Internet gambling behaviours. The objectives were to define a typology of online lotteries and scratch games gamblers' behaviours in order to identify early risky gambling behaviours and to classify gamblers in order to identify individuals with global risky gambling behaviours. Methods We performed a multilevel latent class cluster based on player account‐based data of 10,000 gamblers from a French online operator. Results We identified seven clusters of online lotteries and scratch games gamblers' behaviours. A small cluster (3%) was characterized by a very high gambling activity, a high probability of chasing behaviour, a large proportion of bets concerning instant lotteries and scratch games, and a high proportion of women. We also found a group of gamblers having an 81% probability of being each month in this cluster. Conclusions The identification of distinct clusters of gambling behaviours and of groups of gamblers having different probabilities of being in these clusters through time could allow the implementation of personalized prevention measures according to the gamblers' profile.