• 研究生：何宜萱
• 論文名稱：試論台灣民眾對統計數字之態度 ─以三鶯地區居民為例
• 指導教授：林桂綉
• 關鍵詞：潛在類別分析、態度、統計數字

• 我們生活在一個充滿統計的社會，媒體中充滿各色各樣的統計結果，我們不太可能漠視統計數字，這樣的心態會使我們無法準確地判斷各種問題有多嚴重、是否惡化。但社會上很少看到有人在探討一般民眾是以何種的心態去看待這樣的社會現象。

做為探索性研究，為了研究這個問題，本研究以Best（2001）的著作及他提出的四種心態為研究的基礎，探討台灣民眾對統計數字抱持如何的態度。

資料方面使用臺北大學社會學系2012年的三鶯地區社會調查研究資料，以態度的ABC理論為測量的標準，再使用潛在類別分析判定態度類別。研究發現台灣民眾在對統計數字的態度上可約分為三類：討論型、傳播型、以及被動型。

確定民眾的態度後，本研究也使用多項式邏輯斯迴歸分析以期找出導致不同態度的因素。研究結果顯示教育程度、性別、平常與人討論新聞的頻率以及對新聞的評價等四點會影響台灣民眾對統計數字的態度。

• We live in a world full of statistics. Each day, we encounter several ones on mass media. Ignorance of statistics or Innumeracy can lead to the misunderstanding or misinterpretation of our world. Motivated by the four different types of attitudes toward statistics described by Best (2001), the present study aims to explore this important but neglected research topic.

The present paper analyzes the respondents from SanYing social survey implemented by NTPU Sociology in 2012. The attitude measurement toward statistical number is constructed based on the ABC theory of attitudes. Latent class analysis is utilized to examine the types of attitudes. Results show that SanYing residents’ types of attitudes toward statistics can be classified into three categories: types of discussion, propagation, and passiveness.

After obtaining the three types of attitudes people carried toward statistics, the author uses multinomial logistic regression to examine the factors that might associate with one’s types of attitudes. The results indicate that education, gender, frequency of discussion with others, and evaluation of news on media are related to one’s types of attitudes toward statistics.