Associations of Personality Traits with Internet Addiction: A Cross-Cultural Meta-Analysis with a Multilingual Approach

With a novel multilingual approach, this cross-cultural meta-analysis study investigated the associations between personality traits and Internet addiction. Articles were identified and retrieved by searching through general and language-specific databases, and thereafter reviewed for inclusion based on the selection criteria. Random effects models with the Hartung-Knapp-Sidik-Jonkman method were used to examine the associations of Internet addiction with seven personality traits: Openness, Conscientiousness, Extraversion, Agreeableness, Neuroticism, Psychoticism, and Lie (OCEAN-PL). Forest plots with summary statistics were produced to inspect the between-study heterogeneity. Subgroup analysis was performed to further determine the contributions of moderators (geographic region, population subgroup, scales for assessing personality traits and Internet addiction, and language of publication) to the observed between-study heterogeneity. Funnel plots and Egger's test were used to detect possible small-study effects. A sample of 34,438 participants from 37 studies (24 from Asia) were included for data analysis. The major languages of publications of the selected articles were English and Asian languages. According to the pooled results, Internet addiction was associated positively with Neuroticism and Psychoticism, but negatively with Conscientiousness, Extraversion, Agreeableness, and Lie. Geographic region and language of publication significantly moderated the associations of Internet addiction with Agreeableness and Neuroticism, and Openness and Extraversion, respectively. No significant small-study effect was present for all OCEAN-PL personality traits, except Neuroticism. In conclusion, the Internet addiction group is relatively more neurotic and psychotic, and less conscientious, extraverted, agreeable, and untruthful than the nonaddiction group. A multilingual approach is useful for improving the search strategies for systematic reviews, cross-cultural meta-analyses in particular.