Psychometric properties of a Thai version internet addiction test

Abstract

ObjectiveThe aim was to assess the reliability and validity of a Thai version internet addiction test.ResultsCronbach’s alpha for the Thai version of the internet addiction test was 0.89. A three-factor model showed the best fit with the data for the whole sample, whereas the hypothesized six-factor model, as well as a unidimensional model of the internet addiction test, failed to demonstrate acceptable fit with the data. Three factors, namely functional impairment, withdrawal symptoms and loss of control, exhibited Cronbach’s alphas of 0.81, 0.81, and 0.70, respectively. Item 4, ‘to form new relationships with online users’, yielded the lowest loading coefficient of all items. Positive correlations between the internet addiction test and UCLA loneliness scores were found. The Thai version of the internet addiction test was considered reliable and valid, and has sufficient unidimensionality to calculate for total score in screening for excessive internet use.Electronic supplementary materialThe online version of this article (10.1186/s13104-018-3187-y) contains supplementary material, which is available to authorized users.

Validation Study of the Indonesian Internet Addiction Test among Adolescents

“…This result is in accordance with the findings of a previous study in which the items contained in the neglect of duty domain in the study were also included underperformance problems, neglecting work, and personal activities disorder [17,22,23]. Interestingly, this domain can also be combined with time management, relationship problems, and social problems [12][13][14]16,17]. The third domain in the study is loss of control and the items included in it belonged to the performance problems, relationship problems, and withdrawal symptoms domains in studies in other countries [16,17].…”

“…Our analysis revealed that three-dimensional IAT displays better psychometric properties than the one-factor model. Prior studies indicated that several IAT models are one-factor to six-factor models [8][9][10][11][12][13][14][15][16][17]. The variability of the models could be due to diversity in the subjects' characteristics and cultural backgrounds [9,11,13].…”

“…Items within the salience domain in this study mostly covered items included in the withdrawal symptoms domain in the Thailand study [17]. The diversity in this domain can be attributed to the variations in respondent characteristics in the study.…”

“…Scores obtained from the IAT are grouped into four categories: normal (0-30), mild IA (31)(32)(33)(34)(35)(36)(37)(38)(39)(40)(41)(42)(43)(44)(45)(46)(47)(48)(49), moderate IA (50-79), and severe IA (80-100). The IAT has been widely translated and validated by various countries and has proved to consist of good internal validation values [9][10][11][12][13][14][15][16][17].…”

Prevalence of ADHD symptoms and their correlations with mental health-related variables among medical student

“…The level of addiction is categorized by non-internet addiction (0-30), mild (31)(32)(33)(34)(35)(36)(37)(38)(39)(40)(41)(42)(43)(44)(45)(46)(47)(48)(49), moderate and severe internet addiction (80-100). The Thai version of IAT showed an excellent reliability of Cronbach's alpha of 0.85 [36] .…”