本課程主要目標為使用 R 軟體與真實社會科學調查的資料，透過資料視覺化分析來展現資料中的資訊。課程前半學期會先介紹圖像理論的概念，再透過實際操作與具體設計並畫出統計圖像、詮釋統計圖像的經驗，有效率地理解探索性資料視覺化。課程後半學期，會介紹如何將大多數研究者感興趣、卻無法實際量測到的概念或態度，使用視覺化的模型進行分析。完成課程後，學生將能夠使用 R 語言繪製圖表，並進行潛在變項分析與解釋分析結果。完成課程後，學生將能夠使用 R 語言繪製統計圖表，並進行潛在變項分析與解釋分析結果。The main goal of this course is to use R software and real social science survey data to present the information in the data through data visual analysis. In the first half of the course, the concept of image theory will be introduced, and then through practical operation and specific design and experience in drawing and interpreting statistical images, exploratory data visualization can be effectively understood. In the second half of the course, we will introduce how to use visual models to analyze concepts or attitudes that most researchers are interested in but cannot actually measure. Upon completion of the course, students will be able to use R to draw graphs, perform latent variable analysis and interpret analysis results. After completing the course, students will be able to use R to draw statistical graphs, perform latent variable analysis and interpret analysis results.
(1) Kieran Healy, 2019, Data Visualization: A Practical Introduction, Princeton University Press: Princeton and Oxford.
(2) Antony Unwin, 2015, Graphical Data Analysis with R, CRC Press.
(3) W. Holmes Finch, Brian F. French, 2015, Latent Variable Modeling with R, Routledge.
(4) A. Alexander Beaujean, 2014, Latent Variable Modeling Using R: A Step-by-Step Guide, Routledge.
(1) Kieran Healy, 2019, Data Visualization: A Practical Introduction, Princeton University Press: Princeton and Oxford.
(2) Antony Unwin, 2015, Graphical Data Analysis with R, CRC Press.
(3) W. Holmes Finch, Brian F. French, 2015, Latent Variable Modeling with R, Routledge.
(4) A. Alexander Beaujean, 2014, Latent Variable Modeling Using R: A Step-by-Step Guide, Routledge.
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| 課堂參與出席課堂參與出席 class participation attendance |
15 | 每週上課點名，期末出席成績由 R 軟體隨機選出五週計分。若需請假，請將請假證明寄至教師 email 或於學生資訊系統請假。 |
| 平日作業及小考平日作業及小考 Daily homework and quizzes |
25 | 包含隨堂電腦軟體操作、輸出及對輸出結果的詮釋。 |
| 期中口頭小組報告期中口頭小組報告 Midterm oral group report |
15 | 包含關於 R 軟體的操作與分析內容的詮釋；請針對所選資料之研究議題做出之視覺化分析與詮釋，每位小組成員都須上台報告，若未報告或未出席則以零分計。 |
| 期中書面小組報告期中書面小組報告 Midterm written group report |
15 | 包含關於 R 軟體的操作與分析內容的詮釋；請針對所選資料之研究議題做出之視覺化分析與詮釋，引用及書寫格式請比照期刊撰稿體例，若有抄襲之情事以零分計。 |
