• Title/Summary/Keyword: 언론수용자의식조사

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Logistic regression analysis of newspaper readers characteristics affecting regular subscription (종이신문 열독자의 특성이 정기구독 여부에 미치는 영향에 대한 로지스틱 회귀분석)

  • Lee, Seyoung;Kim, Jaehee
    • The Korean Journal of Applied Statistics
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    • v.32 no.5
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    • pp.653-669
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    • 2019
  • The development of new media has gradually decreased the use of newspapers, which had previously occupied the largest share of media. Subscriptions have declined gradually and fell to 14 percent in 2016. This study explores the effects of Newspaper reader's characteristics on regular newspaper subscriptions. The data used for analysis was provided by the Korean Press Foundation and Media Audience Awareness Survey Data in 2016 and 2017. We considered gender, age, education, income, number of days of reading, reading time and amount of reading as the characteristics of the reader. Multiple logistic regression was fitted and interpreted to see what characteristics affect regular subscription.

Statistical analysis of mobile internet news users' attributes affecting on opinion formation for social major issues (모바일 인터넷 뉴스 이용자의 속성이 정치, 경제, 사회적 주요 현안에 대한 의견 형성에 미치는 영향에 대한 통계적 분석)

  • Kim, Jaehee
    • The Korean Journal of Applied Statistics
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    • v.34 no.1
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    • pp.57-74
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    • 2021
  • The proliferation of smart devices (such as smart phones and tablet PCs) has led to a marked increase in the use of mobile-based internet. As a result, the influence of the mobile internet has become important to make opinions on social issues. This study explores the effects of mobile internet news users' characteristics on formation of opinions about major political, economic and social issues. We used the data from the media audience awareness survey by the Korean Press Foundation in 2016 and 2017 in this analysis. The characteristics of the news users are gender, age, education, income, news usage days, news usage hours, media application usage days, news gathering application usage days, portal usage days, and media official website usage days. These characteristics are known as possible explanatory variables for the mobile internet news users. Multiple logistic regressions were done with interpretation to know which covariates affect on formation of major opinion.