Psychometric property and measurement invariance of internet addiction test: the effect of socio-demographic and internet use variables
Abstract Background According to the validation literature on items of Young’s Internet Addiction Test (IAT), this study rephrased disputable items to improve the psychometric properties of this Chinese version of IAT and identify the presence of differential item function (DIF) among demographic an...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2022-08-01
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| Series: | BMC Public Health |
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| Online Access: | https://doi.org/10.1186/s12889-022-13915-1 |
| _version_ | 1811215366402080768 |
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| author | Xi Lu Kee Jiar Yeo Fang Guo Zhenqing Zhao Ou Wu |
| author_facet | Xi Lu Kee Jiar Yeo Fang Guo Zhenqing Zhao Ou Wu |
| author_sort | Xi Lu |
| collection | DOAJ |
| description | Abstract Background According to the validation literature on items of Young’s Internet Addiction Test (IAT), this study rephrased disputable items to improve the psychometric properties of this Chinese version of IAT and identify the presence of differential item function (DIF) among demographic and Internet use factors; detect the effect of demographic and Internet use factors on IAT after adjusting for DIF. Methods An online questionnaire was distributed to college students in Zhe Jiang province in two stage. The 1st phase study collected 384 valid responses to examine the quality of IAT items by using Rasch Model analysis and exploring factor analysis (EFA). The online questionnaire was modified according to the 1st phase study and distributed online for the 2nd phase study which collected a total of 1131 valid responses. The 2nd phase study applied confirmatory factor analysis (CFA) and a multiple indicator multiple causes (MIMIC) model to verify the construct of IAT, potential effect of covariates on IAT latent factors, as well as the effect of differential item functioning (DIF). Results Rasch model analysis in the 1st phase study indicated a 5-point rating scale was performed better, no sever misfit was found on item. The overall property of Chinese version IAT with the 5-point scale was good to excellent person and item separation (2.66 and 6.86). A three-factor model was identified by EFA. In the 2nd phase study, IAT 13 were detected with DIF for gender in MIMIC model. After correcting DIF effect, the significant demographic and Internet use factors on IAT were time spent online per day, year 3, year 2, general users. Conclusion Item improvement was efficient that the problematic items found in literature was performed good in this study. The overall psychometric property of this Chinese version IAT was good with limited DIF effect in one item. Item improvement on IAT13 was encouraged in the future study to avoid gender bias and benefit for epidemiology on PIU. |
| first_indexed | 2024-04-12T06:21:32Z |
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| issn | 1471-2458 |
| language | English |
| last_indexed | 2024-04-12T06:21:32Z |
| publishDate | 2022-08-01 |
| publisher | BMC |
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| series | BMC Public Health |
| spelling | doaj.art-8db7411044f74165ae6db7ec89724cb52022-12-22T03:44:17ZengBMCBMC Public Health1471-24582022-08-0122111110.1186/s12889-022-13915-1Psychometric property and measurement invariance of internet addiction test: the effect of socio-demographic and internet use variablesXi Lu0Kee Jiar Yeo1Fang Guo2Zhenqing Zhao3Ou Wu4Hangzhou Vocational &Technical CollegeDepartment of Education, Universiti Teknologi Malaysia, 81310 UTMHangzhou Vocational &Technical CollegeHangzhou Vocational &Technical CollegeShulan International Medical College, Zhejiang Shuren UniversityAbstract Background According to the validation literature on items of Young’s Internet Addiction Test (IAT), this study rephrased disputable items to improve the psychometric properties of this Chinese version of IAT and identify the presence of differential item function (DIF) among demographic and Internet use factors; detect the effect of demographic and Internet use factors on IAT after adjusting for DIF. Methods An online questionnaire was distributed to college students in Zhe Jiang province in two stage. The 1st phase study collected 384 valid responses to examine the quality of IAT items by using Rasch Model analysis and exploring factor analysis (EFA). The online questionnaire was modified according to the 1st phase study and distributed online for the 2nd phase study which collected a total of 1131 valid responses. The 2nd phase study applied confirmatory factor analysis (CFA) and a multiple indicator multiple causes (MIMIC) model to verify the construct of IAT, potential effect of covariates on IAT latent factors, as well as the effect of differential item functioning (DIF). Results Rasch model analysis in the 1st phase study indicated a 5-point rating scale was performed better, no sever misfit was found on item. The overall property of Chinese version IAT with the 5-point scale was good to excellent person and item separation (2.66 and 6.86). A three-factor model was identified by EFA. In the 2nd phase study, IAT 13 were detected with DIF for gender in MIMIC model. After correcting DIF effect, the significant demographic and Internet use factors on IAT were time spent online per day, year 3, year 2, general users. Conclusion Item improvement was efficient that the problematic items found in literature was performed good in this study. The overall psychometric property of this Chinese version IAT was good with limited DIF effect in one item. Item improvement on IAT13 was encouraged in the future study to avoid gender bias and benefit for epidemiology on PIU.https://doi.org/10.1186/s12889-022-13915-1Internet addiction test (IAT)Pathological internet use (PIU)College students |
| spellingShingle | Xi Lu Kee Jiar Yeo Fang Guo Zhenqing Zhao Ou Wu Psychometric property and measurement invariance of internet addiction test: the effect of socio-demographic and internet use variables BMC Public Health Internet addiction test (IAT) Pathological internet use (PIU) College students |
| title | Psychometric property and measurement invariance of internet addiction test: the effect of socio-demographic and internet use variables |
| title_full | Psychometric property and measurement invariance of internet addiction test: the effect of socio-demographic and internet use variables |
| title_fullStr | Psychometric property and measurement invariance of internet addiction test: the effect of socio-demographic and internet use variables |
| title_full_unstemmed | Psychometric property and measurement invariance of internet addiction test: the effect of socio-demographic and internet use variables |
| title_short | Psychometric property and measurement invariance of internet addiction test: the effect of socio-demographic and internet use variables |
| title_sort | psychometric property and measurement invariance of internet addiction test the effect of socio demographic and internet use variables |
| topic | Internet addiction test (IAT) Pathological internet use (PIU) College students |
| url | https://doi.org/10.1186/s12889-022-13915-1 |
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