Factor structure and a multiple indicators multiple cause model of internet addiction test: the effect of socio-demographic and internet use variables

Lu, Xi; Yeo, Kee Jiar; Guo, Fei; Zhao, Zhenqing

doi:10.1007/s12144-019-00234-9

Cited by 9 publications

(25 citation statements)

References 40 publications

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“…The datasets used to produce the current article are publicly available at: https://zenodo.org/record/1286048#.YVYtmppBw2w [73] (access on 27 September 2021), https: //data.mendeley.com/datasets/d5z2bnnv65/1 [47] access on 27 September 2021), and https://doi. org/10.7910/DVN/QBAFVL [75] (access on 27 September 2021).…”

Section: Supplementary Materialsmentioning

confidence: 99%

“…IA is associated with poor academic/work performance, dysphoric mood, dysfunctional sleep, loneliness, and deficient real world social networks [ 16 , 17 , 18 ]. In addition, IA predisposes adolescents to higher levels of depression, suicidal ideation [ 19 ], and suicidal attempts due to the development of brain dysfunction: increased activity in the gyrus frontalis inferior of the right pars triangularis and the right pars opercularis [ 20 ].…”

Section: Introductionmentioning

confidence: 99%

“…A bifactor structure is reported to account for the high correlations between two extracted factors [ 5 ]. Some other studies reported a three-factor structure [ 40 , 41 ], four factor structure [ 18 ], or even five- or six-factor structures [ 7 , 42 ]. Interestingly, one study reported better fit for a one-factor solution based on all 20 items of the IAT than a well-fitting three-factor solution based on 18 items (after excluding item 5 and item 7) [ 41 ].…”

Section: Introductionmentioning

confidence: 99%

“…Interestingly, one study reported better fit for a one-factor solution based on all 20 items of the IAT than a well-fitting three-factor solution based on 18 items (after excluding item 5 and item 7) [ 41 ]. In some studies, the best fitting models were produced by removing up to three items [ 18 , 31 , 39 , 41 ] while some studies reported fitting models based on fit indices expressing values out of the acceptable range [ 6 , 35 ].…”

Section: Introductionmentioning

confidence: 99%

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The Six-Item Version of the Internet Addiction Test: Its Development, Psychometric Properties, and Measurement Invariance among Women with Eating Disorders and Healthy School and University Students

Ali

Hendawy

Almarwani

et al. 2021

IJERPH

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Internet addiction (IA) is widespread, comorbid with other conditions, and commonly undetected, which may impede recovery. The Internet Addiction Test (IAT) is widely used to evaluate IA among healthy respondents, with less agreement on its dimensional structure. This study investigated the factor structure, invariance, predictive validity, criterion validity, and reliability of the IAT among Spanish women with eating disorders (EDs, N = 123), Chinese school children (N = 1072), and Malay/Chinese university students (N = 1119). In school children, four factors with eigen values > 1 explained 50.2% of the variance, with several items cross-loading on more than two factors and three items failing to load on any factor. Among 19 tested models, CFA revealed excellent fit of a unidimensional six-item IAT among ED women and university students (χ2(7) = 8.695, 35.038; p = 0.275, 0.001; CFI = 0.998, 981; TLI = 0.996, 0.960; RMSEA = 0.045, 0.060; SRMR = 0.0096, 0.0241). It was perfectly invariant across genders, academic grades, majors, internet use activities, nationalities (Malay vs. Chinese), and Malay/Chinese female university students vs. Spanish women with anorexia nervosa, albeit it was variant at the scalar level in tests involving other EDs, signifying increased tendency for IA in pathological overeating. The six-item IAT correlated with the effects of internet use on academic performance at a greater level than the original IAT (r = −0.106, p < 0.01 vs. r = −0.78, p < 0.05), indicating superior criterion validity. The six-item IAT is a robust and brief measure of IA in healthy and diseased individuals from different cultures.

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Section: Supplementary Materialsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The Six-Item Version of the Internet Addiction Test: Its Development, Psychometric Properties, and Measurement Invariance among Women with Eating Disorders and Healthy School and University Students

Ali

Hendawy

Almarwani

et al. 2021

IJERPH

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“…This disorder can be properly detected using various diagnostic tools, one of which is the Internet Addiction Test (IAT). The IAT is a frequently used tool to reveal problematic internet use and internet addiction among people (Lu et al, 2020;Masi et al, 2020;Tsimtsiou et al, 2015). Many studies have shown its usefulness in diagnosing internet addiction among university students too (Chang & Law, 2008).…”

Section: • 1 Introduction and Theoretical Backgroundmentioning

confidence: 99%

Gender Differences in Internet Addiction among University Students in the Slovak Republic

2021

ADIKTOLOGIE Journal

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BACKGROUND:The internet is an integral part of today's life; therefore, the risk of internet addiction is very high. The current consequences of internet addiction are not comparable to those of other types of addiction. However, internet addiction may be a serious problem in the future. For this reason, this issue should be addressed today. AIMS: The primary objective of the study was to assess the differences in internet addiction between males and females in a sample of university students in the Slovak Republic.

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Social Media Users Potentially Experience Different Withdrawal Symptoms to Non-social Media Users

Truzoli

Magistrati²,

Viganò³

et al. 2022

Int J Ment Health Addiction

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Please ensure you fill out your response to the queries raised below and return this form along with your corrections Dear Author During the process of typesetting your article, the following queries have arisen. Please check your typeset proof carefully against the queries listed below and mark the necessary changes either directly on the proof/online grid or in the 'Author's response' area provided below Query Details Required Author's Response AQ1 City information has been provided for all affiliations. Please check if this is correct. AQ2 Murray, 1988 has been changed to Murray 1998 so that this citation matches the Reference List. Please confirm that this is correct. AQ3Please check the section headings are assigned to appropriate levels.

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Factor structure and a multiple indicators multiple cause model of internet addiction test: the effect of socio-demographic and internet use variables

Cited by 9 publications

References 40 publications

The Six-Item Version of the Internet Addiction Test: Its Development, Psychometric Properties, and Measurement Invariance among Women with Eating Disorders and Healthy School and University Students

The Six-Item Version of the Internet Addiction Test: Its Development, Psychometric Properties, and Measurement Invariance among Women with Eating Disorders and Healthy School and University Students

Gender Differences in Internet Addiction among University Students in the Slovak Republic

Social Media Users Potentially Experience Different Withdrawal Symptoms to Non-social Media Users

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