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http://dx.doi.org/10.21288/resko.2017.11.2.107

Latent Profile Analysis on Smart Phone Dependence of Elementary School Students  

Yeum, Dong Moon (창신대학교 사회복지학과)
Publication Information
Journal of rehabilitation welfare engineering & assistive technology / v.11, no.2, 2017 , pp. 107-114 More about this Journal
Abstract
Results of the analysis have revealed that the students were basically divided into three groups depending on goodness-of-fit index and latent class division factor. Type 1 was regarded as a low dependence group (50.1%) with all low indexes while Type 2 was classified as a high dependence group (10.7%) with all high indexes. As for Type 3, it was titled intermediate dependence group (39.2%) for the indexes showed a low-to-moderate movement. A multinomial logistic regression analysis was carried out to forecast smart phone dependence characteristics and as a consequence, when the high dependence group was compared to the intermediate dependence group, as self-esteem and peer attachment increased and deceased respectively, a chance of one being classified into the intermediate dependence group rose. In an investigation to compare the high dependence group with the low dependence group, it was confirmed that the greater the self-esteem, the shorter the peer socializing time, the lower the neglect degree and the lower the peer attachment, a chance for one belonging to the low dependence group increased. This study also offered implications, limits and directions in follow-up research.
Keywords
elementary school students; smartphone dependence; latent profile analysis;
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