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Crosscultural Measurement Invariance of the Internet Addiction Test-Revised (IAT-R) Among Japanese and Filipino University Students

Bibliographic Data

ID22004073
AuthorsKwok Kei Mak (Keimyung University, corresponding author), Kimberly S Young (School of Journalism and Mass Communication, St. Bonaventure University, Saint Bonaventure, New York, USA), Kimberly Young (0009-0006-9302-6761, St. Bonaventure University), Hiroko Watanabe (0000-0001-6700-627X, Osaka Women's and Children's Hospital), Milen S Ramos (University of the Philippines Manila), JeeEun Karin Nam (0000-0002-4276-4178, Ewha Womans University)
Year2020
Volume23
Issue7
Pages479-486
Publication date2020-07-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueCyberpsychology Behavior and Social Networking (JOURNAL)
Journal identifiersISSN: 2152-2715 • E-ISSN: 2152-2723
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1089/cyber.2019.0360
PMID32352876
OpenAlexW3021326872
LanguageEN
Citations received1
References cited24

This study investigated the measurement equivalence of the Internet Addiction Test-Revised (IAT-R) among university students. In the Asian College Health Assessment (ACHA), 200 Japanese and 348 Filipino university students completed a survey in 2016-2017 school year. Multiple-group confirmatory factor analysis was performed to examine the three hierarchical levels (configural, metric, and scalar) of measurement invariance. A first-order three-factor model with three domains, namely "Excessive Use, Lack of Control, and Neglect Work," "Anticipation and Salient," and "Neglect Social Life," emerged. The fit indices were 0.958 for comparative fit index (CFI) and 0.025 (0.017-0.034) for root mean square error of approximation (RMSEA) (confidence interval [90% CI]) in Japanese sample; and 0.962 for CFI and 0.068 (0.053-0.088) for RMSEA (90% CI) in Filipino sample. All three levels of measurement invariance between the two samples were established, with ΔCFI and ΔRMSEA not exceeding -0.01 and 0.015, respectively, for each increasing stringent level. The results indicated the measurement equivalence of IAT-R for assessing Internet addiction risks across cultural groups

Confidence interval · Confirmatory factor analysis · Measurement invariance · Neglect · Statistics · Structural equation modeling · Behavioral Health and Interventions · Impact of Technology on Adolescents · Mathematics · Psychology · Social Psychology · Technology Adoption and User Behaviour

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  • Comparative fit indexes in structural models

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Unique citing works1
Citations per year0,17
Citation span2020 - 2020 (1)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 1

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