綱路沉迷預測模式之量化分析

本研究目的在探討台北市一般民眾網路沉迷情形，以及影響沉迷程度的因素。參考重要理論及文獻，建構網路使用者背景、網路使用行為與網路沉迷相關模式。以500名台北市民眾為研究樣本，利用問卷調查法搜集資料。將迴歸法求得之預測模式，進一步利用徑路分析法釐清各自變項之間的直接與間接影響。研究結果發現：由相關分析及迴歸分析結果，影響網路沉迷程度之第一因素為使用者年齡，且為負向影響，即年齡越低者沉迷程度越高；次為每週上網時數，為正向影響；第三為上網者學歷，為負向影響。徑路分析結果，年齡對網路沉迷只有直接負向影響，學歷對網路沉迷之負向影響扣除間接影響後，仍為負值，表示教育程度越低者，網路沉迷程度越高。

關鍵字

綱路沉迷模式；徑路分析

並列摘要

Thus study aims to investigate the prevalence of Internet addiction among the general public and the factors that may affect the extent of addiction. Based on the existing theories and previous research, the study was constructed to discover the relationships between the backgrounds and the behaviors of the Internet users and the addictive patterns. Data was collected by conducting a survey to 500 residents of Taipei. Regression analysis was employed to predict patterns, which was followed by an application of path analysis to clarify the direct and indirect effects of the variables. The results of the correlation analysis and the regression analysis indicate that age is the most influential factor that demonstrates a correlation, but a negative one, with the extent of addition. This means the younger the user is, the greater extent of addiction he/she shows. Time appears to be the next influential factor, which presents a positive correlation. The third is educational background, which poses a negative correlation. The results of the path analysis also display that educational background, even after the indirect effects being deducted, has a negative correlation with the extent of addiction, which indicates that the less education the user receives, the more deeply he/she becomes addicted to the Internet.

並列關鍵字

internet addiction model ； path analysis

國際替代計量

綱路沉迷預測模式之量化分析

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