課程資訊
課程名稱
高等社會研究統計方法
Advanced Statistical Methods for Social Research 
開課學期
102-2 
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  
授課教師
謝雨生 
課號
BICD8019 
課程識別碼
630 D3000 
班次
 
學分
全/半年
半年 
必/選修
必修 
上課時間
星期三2,3,4(9:10~12:10) 
上課地點
生傳418室 
備註
總人數上限:40人 
Ceiba 課程網頁
http://ceiba.ntu.edu.tw/1022BICD8019_ 
課程簡介影片
 
核心能力關聯
核心能力與課程規劃關聯圖
課程大綱
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課程概述

2-19 Introduction to Class and Multilevel Analysis 1
2-26 Multilevel Analysis 2
3-05 Multilevel Analysis 3
3-12 Multilevel Analysis 4
3-19 Readings Discussion on Multilevel Analysis
3-26 Structural Equation Models 1
4-02 No Class
4-09 Structural Equation Models 2
4-16 Structural Equation Models 3
4-23 Structural Equation Models 4
4-30 Structural Equation Models 5
5-07 Readings Discussion on Structural Equation Models
5-14 Event History Analysis 1
5-21 Event History Analysis 2
5-28 Event History Analysis 3
6-04 Event History Analysis 4
6-11 Event History Analysis 5 (Final Exam begins.)
6-18 Final Exam (Take Home Exam) 

課程目標
待補 
課程要求
1. 每個統計分析方法單元都有實際資料分析的作業。每位上課同學都要依據作業時間與作業內容按時繳交作業。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。
2. 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,並於上課時繳交研究論文的閱讀紀要。紀要內容為依序回答下列十項問題,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?(請區分依變項、核心自變項和控制變項)
(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。
3. 上課同學要參與課堂的報告提問和討論。
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%。
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。 
預期每週課後學習時數
 
Office Hours
 
指定閱讀
Readings:

Multilevel Analysis
1. Brady, David, Regina S. Baker, and Ryan Finnigan
2013 “When Unionization Disappears: State-Level Unionization and Working Poverty in the United States.” American Sociological Review 78:872-896.
2. Young, Marisa and Blair Wheaton
2013 “The Impact of Neighborhood Composition on Work-Family Conflict and Distress.” Journal of Health and Social Behavior 54:481-497.

Structural Equation Models
1. Burt, Callie Harbin, Ronald L. Simons, and Frederick X. Gibbons
2012 "Racial Discrimination, Ethnic-Racial Socialization, and Crime: A Micro-sociological Model of Risk and Resilience" American Sociological Review 77: 648-677.
2. Soehl, Thomas and Roger Waldinger
2012 "Inheriting the Homeland? Intergenerational Transmission of Cross-Border Ties in Migrant Families" American Journal of Sociology 118: 778-813.

Event History Analysis
1. Jennings, Elyse A., William G. Axinn, and Dirgha J. Ghimire
2012 "The Effect of Parents’ Attitudes on Sons’ Marriage Timing" American Sociological Review 77: 923-945.
2. Zheng, Hui and Patricia A. Thomas
2013 "Marital Status, Self-Rated Health, and Mortality: Overestimation of Health or Diminishing Protection of Marriage?" Journal of Health and Social Behavior 54(1): 128-143.

Methods:

Multilevel Analysis
1. Raudenbush, Stephen W. and Anthony Bryk S.
2001 Hierarchical Linear Models: Applications and Data Analysis Methods. CA: Sage.
2. Snijders, Tom A. B. and Roel Bosker
2011 Multilevel Analysis: An Introduction to Basic and Advanced Multilevel Modeling. London: Sage.
3. Raudenbush, Stephen W., Anthony S. Bryk, Yuk Fai Cheong, Richard T. Congdon, Jr., and Mathilda du Toit
2011 HLM7: Hierarchical Linear and Nonlinear Modeling. IL: Scientific Software International.

Structural Equation Models
1. Rex B. Kline
2010 Principles and Practice of Structural Equation Modeling . NY: Guilford.
2. Bollen, Kenneth A.
1989 Structural Equations with Latent Variables. NY: Wiley.
3. Schumacker, Randall E. and Richard G. Lomax
2010 A Beginner's Guide to Structural Equation Modeling. NY: Routledge Academic.
4. Joreskog, K.G. and D. Sorbom
2001 LISREL 8 user's reference guide. IL: Scientific Software International.

Event History Analysis
1. Kleinbaum, David G. amd Mitchel Klein
2011 Survival Analysis: A Self-Learning Text. NY: Springer.
2. Box-Steffensmerier, Janet M. and Bradford S. Jones
2004 Event History Modeling: A Guide for Social Scientists. Cambridge: Cambridge University Press.
3. Allison, Paul D.
2010 Survival Analysis Using the SAS System: A Practical Guide . NC: SAS Publishing.
4. Yamaguchi, Kazuo
1991 Event History Analysis. CA: SAGE. 
參考書目
Optional Readings:

Multilevel Analysis
1. Lyness, Karen S., Janet C. Gornick, Pamela Stone, and Angela R. Grotto
2012 "It’s All about Control: Worker Control over Schedule and Hours in
Cross-National Context" American Sociological Review 77: 1023-1049.
2. Schafer, Markus H., Kenneth F. Ferraro, and Sarah A. Mustillo
2011 "Children of Misfortune: Early Adversity and Cumulative Inequality in
Perceived Life Trajectories" American Journal of Sociology 116: 1053-1091. 
評量方式
(僅供參考)
 
No.
項目
百分比
說明
1. 
平時作業 
40% 
 
2. 
期末考 
50% 
 
3. 
課堂報告和討論參與 
10% 
 
 
課程進度
週次
日期
單元主題
第1週
2/19  Introduction to Class and Multilevel Analysis 1 
第2週
2/26  Multilevel Analysis 2(因老師有要事需處理,故停課一次) 
第3週
3/05  Multilevel Analysis 3 
第4週
3/12  Multilevel Analysis 4 
第5週
3/19  Readings Discussion on Multilevel Analysis 
第6週
3/26  Structural Equation Models 1 
第7週
4/02  No Class 
第8週
4/09  Structural Equation Models 2 
第9週
4/16  Structural Equation Models 3 
第10週
4/23  Structural Equation Models 4 
第11週
4/30  Structural Equation Models 5 
第12週
5/07  Readings Discussion on Structural Equation Models 
第13週
5/14  Event History Analysis 1 
第14週
5/21  Event History Analysis 2 
第15週
5/28  Event History Analysis 3 
第16週
6/04  Event History Analysis 4 
第17週
6/11  Event History Analysis 5 (Final Exam begins.) 
第18週
6/18  Final Exam (Take Home Exam)