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AbstractThis article performs a systemic review of psychometric properties of Internet Addiction Test (IAT)—the mostwidely used tool for assessing Internet addiction in clinic and research field. Studies measuring psychometricproperties of IAT (original version) were searched through MEDLINE, The Cumulative Index to Nursing andAllied Health Literature (CINAHL), PsycINFO, and Embase. A total of 25 studies including 18,421 subjectsreviewed in our study. Based on meta-analysis for internal consistency, the pooled Cronbach's alphacoefficient from college/university students with a single department subgroup was 0.90 (95percent confidenceinterval [CI], 0.89–0.91), and that from middle-/high-school students (older than 15 years) subgroup was 0.93(95 percent CI, 0.92–0.93). According to test-retest analysis, the pooled Spearman's correlation coefficientfrom college/university students with a single department subgroup was high at 0.83 (95 percent CI, 0.81–0.85),along with low publication bias. Convergent validity showed correlation coefficients of 0.62–0.84, as comparedwith major tools. For construct validity, the number of factors is believed to be 1–2, only considering studiesthat followed the guidelines. IAT appears to have acceptable internal consistency, test-retest reliability, andconvergent validity in specific groups. To verify these values, well-designed evidence-based studies assessingpsychometric properties of IAT across diverse populations are warranted.