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課程名稱 |
社會科學量化研究方法
Quantitative Methods for Social Science |
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開課學期 |
104-1 |
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授課對象 |
生物資源暨農學院 生物產業傳播暨發展學研究所 |
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授課教師 |
謝雨生 |
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課號 |
BICD7115 |
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課程識別碼 |
630 M3380 |
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班次 |
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學分 |
3 |
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全/半年 |
半年 |
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必/選修 |
必修 |
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上課時間 |
星期三2,3,4(9:10~12:10) |
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上課地點 |
生傳402室 |
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備註 |
先修課目：研究方法、統計學。
總人數上限：30人 |
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Ceiba 課程網頁 |
http://ceiba.ntu.edu.tw/1041BICD7115_ |
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課程簡介影片 |
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核心能力關聯 |
本課程尚未建立核心能力關連 |
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課程大綱
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為確保您我的權利,請尊重智慧財產權及不得非法影印
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課程概述 |
This course provides graduate students with a systematic treatment of many major issues of research, including conceptualization, measurement, and data analysis for the social research. Research design, model building, specification analysis of social survey, causal inferences from non-experimental data, and report writing are all emphasized in this course. |
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課程目標 |
待補 |
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課程要求 |
1. 所有上課的同學都需要按照進度課前閱讀指定的專書或研究論文(R1-R7)，並於上課時繳交閱讀心得(R1)或依下列各問題撰寫研究論文(R2-R7)的閱讀紀要。紀要內容為回答十項問題，頁數不限，請使用中文書寫。除了在課堂上繳交作業紙本外，同學亦必須在上課前一天凌晨12點前，將該次作業的電子檔上傳至本課程網站(ceiba)，才算作業繳交完畢。
(1). 作者為什麼要進行這個研究？
(2). 研究的問題和研究目的分別是什麼？
(3). 作者選擇了哪些詮釋理論？這些理論的大致內容如何？
(4). 研究的主要假設有哪些？
(5). 研究的樣本和資料來源如何？
(6). 研究的重要變項有哪些？(請區分自變項和依變項及控制變項)
(7). 作者採用哪些統計分析方法來處理研究資料？
(8). 此研究有哪些重要研究發現？
(9). 你對這篇研究整體的評論如何？
(10). 你對這篇論文閱讀後的心得。
2. 上課同學要參與課堂的報告提問和討論。
3. 課程的後段(數量方法部分)會有實際的資料分析，所有上課同學都要繳交所指定的作業。
4. 期末考為one-week take-home exam。
5. 課程成績計算：平時作業40%，期末考佔50%，課堂報告和討論參與佔10%。
>提醒，也是規定<
所有課程要求的作業一定要親自作，不能假手他人，或是抄襲他人的作業；不遵守者，本課程成績以不及格處理。 |
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預期每週課後學習時數 |
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Office Hours |
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指定閱讀 |
Text of Research methods
T1: Babbie, Earl.
2013 The Practice of Social Research. 13th edition. Wadsworth, Cengage Learning.
T2: Neuman, W. Lawrence
2014 Social Research Methods: Qualitative and Quantitative Approaches.
7th edition (Pearson New International Edition).
Boston: Pearson Education Limited.
T3: Kumar, Ranjit
2014 Research Methodolofy: a step-by-step guide for beginers. 4th edition.
Sage Publication.
Readings of Empirical Study (These readings are changed each semester)
R1:
Stanovich, Keith E.
2007 How to Think Straight about Psychology. 8th edition. Allyn and Bacon, Pearson Education, Inc.
楊中芳譯 這才是心裡學!教你如何以科學方法培養批判性思考的能力。遠流。
R2:
Liu, Hexuan and Guang Guo
2015 "Lifetime Socioeconomic Status, Historical Context, and Genetic Inheritance in Shaping Body Mass in Middle and Late Adulthood. " American Sociological Review 80(4): 705-737.
R3:
Lee, Dohoon and Sara McLanahan
2015 "Family Structure Transitions and Child Development: Instability, Selection, and Population Heterogeneity. " American Sociological Review 80(4): 738-763.
R4:
Curington, Celeste Vaughan, Ken-Hou Lin, and Jennifer Hiches Lundquist
2012 "Positioning Multiraciality in Cyberspace: Treatment of Multiracial Daters in an Online Dating Website. " American Sociological Review 80(4):764-788.
R5:
Koltai, Jonathan and Scott Shieman
2015 "Job Pressure and SES-contingent Buffering: Resource Reinfocement, Substitution, or the Stress of High Status?." Journal of Health and Social Behavior 56(2): 180-198.
R6:
Mitchell, Colter, Jeanne Brooks-Gunn, Irwn Garfinkel, Sara McLanahan, Daniel Notterman, and John Hobcraft
2015 "Familiy Structure Instability, Genetic Sensitivity, and Child Well-Being." American Journal of Sociology 120(4): 1195-1225.
R7:
Srivastava, Sameer B. and Eliot L. Sherman
2015 "Agents of Change or Cogs in the Machine? Reexamining the Influence Managers on the Gender Wage Gap. " American Journal of Sociology 120(6): 1778-1808.
References For Section VIII
Main Readings:
M1. Kutner, Michael H., Christopher J. Nachtsheim, John Neter, and William Li
2005 Applied Linear Statistical Models. New York: The McGraw-Hill Companies, Inc.
M2. Kleinbaum, David G. and Mitchel Klein
2002 Logistic Regression: A Self-Learning Text. Springer Science Business Media, Inc.
M3. Morgan, Stephen L. and Christopher Winship
2007 Counterfactuals and Causal Inference: Methods and Principles for Social
Research. Cambridge University Press.
M4. Rosenberg, Morris
1968 The Logic of Survey Analysis. New York: Basic Books, Inc.
M5. Hill, R. Carter, William E. Griffiths, and Guay C. Lim
2008 Principles of Econometrics. 3rd ed. John Wiley & Sons, Inc.
M6. Gujarati, Damodar N.
2003 Basic Econometrics. 4th ed. McGraw-Hill Education.
Optional Readings:
M7. Myers, R.H. and J.S. Milton
1991 A First Course in the Theory of Linear Statistical Models. Boston:
PWS-KENT Publishing Company.
M8. Kleenbaum, D.G., L.L. Kupper, and K.E. Muller
1988 Applied Regression Analysis and Other Multivariable Methods. Boston:
PWS-KENT Publishing Company.
M9. Hanushek, E.A. and J. E. Jackson
1977 Statistical Methods for Social Scientists. New York: Academic Press.
M10. Berry, W.D. and S. Feldman
1985 Multiple Regression in Practice. Beverly Hills, CA: Sage (Series No. 50).
M11. Jaccard, J., R. Turrisi, and C. K. Wan
1990 Interaction Effects in Multiple Regression. Beverly Hills, CA: Sage (Series No. 72).
M12. Clogg, C. C., E. Petkova, and A. Haritou
1995 "Statistical Methods for Comparing Regression Coefficients between
Models." American Journal of Sociology 100: 1261-93.
M13. DeMaris, Alfred
2004 Regression with Social Data: Modeling Continuous and Limited Response Variable. A John Wiley & Sons, Inc., Publication.
M14. Little, Roderick J.A. and Donald B. Rubin
2002 Statistical Analysis with Missing Data. A John Wiley & Sons, Inc., Publication. |
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參考書目 |
待補 |
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評量方式
(僅供參考) |
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週次 |
日期 |
單元主題 |
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第1週 |
9/16 |
Introduction to Course Design |
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第2週 |
9/23 |
Development of Research Idea
Science, Theory, and Problem
Reading: R1, T1 Ch. 1-3, T2 Ch. 1-5, T3 Ch.1-2
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第3週 |
9/30 |
Planning of Scientific Research
The Research Process, Mechanisms, and Research Design
Discussion of Empirical Study, R2
Reading: R2, T1 Ch. 4, T2 Ch. 6, T3 Ch. 3-6, 13
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第4週 |
10/07 |
Statistical Control, Causation, and Research Framework
Issues of Research Control and Interaction
Discussion of Empirical Study, R3
Reading: R3, T1 Ch. 8, T2 Ch. 9; T3 Ch. 7-8
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第5週 |
10/14 |
Causal Inference in Observatinal Study
Issues of Causal Inference, Propensity Score Matching, and Inverse Probability Treatment Weighting
Discussion of Empirical Study, R4
Reading: R4, M3, and Handout
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第6週 |
10/21 |
Conceptualization and Measurement
Quantification of Data Reliability and Validity of Measurement and Research
Discussion of Empirical Study, R5
Reading: R5, T1 Ch. 5-6, T2 Ch. 7, T3 Ch. 9-11
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第7週 |
10/28 |
Strategies of Gathering Data
Sampling Issues and Data Collection
Discussion of Empirical Study, R6
Reading: R6, T1 Ch. 7, 9-12, T2 Ch. 8, 10-11, 13-14, T3 Ch. 12, 14
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第8週 |
11/04 |
Strategies of Analyzing Data & Report of Scientific Research
The Logic of Analysis Choosing Analytic (Statistical) Techniques
Discussion of Empirical Study, R7
Reading: R7, T1 Ch. 13-17, T2 Ch. 12, 15, 16, T3 Ch. 15-18
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第9週 |
11/11 |
Models of Multiple Regression (1) |
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第10週 |
11/18 |
Models of Multiple Regression (2) |
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第11週 |
11/25 |
Uses of Dummy Variable and Interaction |
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第12週 |
12/02 |
Detecting and Managing Irregularities in Regression (1) |
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第13週 |
12/09 |
Detecting and Managing Irregularities in Regression (2) |
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第14週 |
12/16 |
Detecting and Managing Irregularities in Regression (3) |
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第15週 |
12/23 |
Logistic Regression and Multinominal Logit Regression (1) |
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第16週 |
12/30 |
Logistic Regression and Multinominal Logit Regression (2) |
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第17週 |
1/06 |
Ordered Logit Regression and Poisson Regression |
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第18週 |
1/13 |
Week of Final Exam |
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