Development and Differential Item Functioning of the Internet Addiction Test-Revised (IAT-R)

An Item Response Theory Approach

Bibliographic Data

ID22004216
AuthorsKwok Kei Mak (Keimyung University, corresponding author), Kimberly S Young (School of Journalism and Mass Communication, St. Bonaventure University, St. Bonaventure, New York, USA), Kimberly Young (0009-0006-9302-6761)
Year2020
Volume23
Issue5
Pages312-328
Publication date2020-05-01
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.2019.0468
PMID32286856
OpenAlexW3016005940
LanguageEN
Citations received3
References cited25

This study developed and investigated the differential item functioning (DIF) of the Internet Addiction Test-Revised (IAT-R) with an item response theory approach. In the Asian College Health Assessment (ACHA), 1,072 university students completed a survey in 2016-2017 school year. Confirmatory factor analysis models with robust maximum likelihood and diagonal weighted least square estimation methods were used to evaluate the construct validity of the 20-item IAT-R. Graded response model was used to produce categorical characteristic curves (CCCs), test characteristic curves (TCCs), item information function (IIF) curves, and test information function (TIF) curves for detecting DIF of the polytomous responses. Furthermore, DIF between genders was examined by ordinal logistic regression and Monte Carlo simulations. A first-order three-factor model was the most parsimonious model with normed fit index (NFI) of 0.915, non-normed fit index (NNFI) of 0.927, comparative fit index (CFI) of 0.937, and root mean square error of approximation (RMSEA) of 0.050. The emerged factors included Excessive Use and Neglect Work, Anticipation and Lack of Control, as well as Neglect Social Life and Salience. CCCs, TCCs, IIFs, and TIFs showed that all items were sensitive at moderate-to-high trait values. No nonuniform scale-level DIF relating to gender was determined. Under no DIF, the thresholds for proportional beta change exhibited a fairly steady trend (below 0.10) across items. In conclusion, IAT-R is a valid measurement scale of Internet addiction with measurement equivalence between genders being established

Confirmatory factor analysis · Construct validity · Developmental psychology · Differential item functioning · Item response theory · Measurement invariance · Polytomous Rasch model · Psychometrics · Statistics · Structural equation modeling · Cyberloafing and Workplace Behavior · Digital Mental Health Interventions · Impact of Technology on Adolescents · Mathematics · Psychology · Social Psychology

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