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dc.contributor.authorChen, Ssu-Kuangen_US
dc.contributor.authorLin, Sunny S. J.en_US
dc.date.accessioned2016-03-28T00:04:15Z-
dc.date.available2016-03-28T00:04:15Z-
dc.date.issued2016-01-01en_US
dc.identifier.issn0747-5632en_US
dc.identifier.urihttp://dx.doi.org/10.1016/j.chb.2015.08.018en_US
dc.identifier.urihttp://hdl.handle.net/11536/129465-
dc.description.abstractThe associations between problematic Internet use (PIU) and depressive symptoms have been found to be positive and statistically significant. However, whether the trajectory change of depressive feeling is related to PIU has not been discovered. The present study aimed to investigate the trajectory change of depressive symptoms in a group of Taiwanese college students and to examine the influence of the initial level and the changing rate in depression on the PIU level, with a simultaneous evaluation of gender effect. The survey employed a five-wave panel design in which the data were collected five times from the freshman to junior years for the same participants. The first-year data included 757 freshmen (51.1% male). The results showed that the females exhibit a faster decreasing rate in depression than the males. A student with a higher initial level of depression tends to have a serious initial level of PIU. Additionally, the PIU level at the end of study period could be reduced while the rapidly decreasing rate of depression was observed. The faster the decline in depression is, the lower the PIU level is. The trajectory change of depression plays an important role in predicting the severity of PIU. (C) 2015 Elsevier Ltd. All rights reserved.en_US
dc.language.isoen_USen_US
dc.subjectProblematic Internet useen_US
dc.subjectDepressionen_US
dc.subjectTrajectory changeen_US
dc.subjectGender differenceen_US
dc.subjectLatent growth curve model analysisen_US
dc.titleA latent growth curve analysis of initial depression level and changing rate as predictors of problematic Internet use among college studentsen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.chb.2015.08.018en_US
dc.identifier.journalCOMPUTERS IN HUMAN BEHAVIORen_US
dc.citation.volume54en_US
dc.citation.spage380en_US
dc.citation.epage387en_US
dc.contributor.department教育研究所zh_TW
dc.contributor.departmentInstitute of Educationen_US
dc.identifier.wosnumberWOS:000364890100041en_US
dc.citation.woscount0en_US
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