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
 107-2 
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
 BICD7128 
課程識別碼
 630 M1090 
班次
  
學分
 3.0 
全/半年
 半年 
必/選修
 選修 
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：30人 
Ceiba 課程網頁
 http://ceiba.ntu.edu.tw/1072BICD7128_ 
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
為確保您我的權利,請尊重智慧財產權及不得非法影印
課程概述

Multilevel Analysis
Structural Equation Models
Event History Analysis 

課程目標
 實際掌握高等社會研究統計技術，並能用以引導研究發想。 
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
 待補 
參考書目
 Multilevel Analysis
Readings:
1. Brown, Tyson H., Liana J. Richardson, Taylor W. Hargrove, and Courtney S.
Thomas
2016 “Using Multiple-hierarchy Stratification and Life Course Approaches to
Understand Health Inequalities: The Intersecting Consequences of Race, Gender, SES,
and Age.” Journal of Health and Social Behavior 57(2): 200-222.

Reference:
2. Vuolo, Mike, Joy Kadowaki, and Brian C. Kelly
2016 “A Multilevel Test of Constrained Choices Theory: The Case of Tobacco Clean
Air Restrictions.” Journal of Health and Social Behavior 57(3): 351-372.
3. Bamoran, Adam, Sarah Barfels, and Ana Cristina Collares
2016 “Does Racial Isolation in School Lead to Long-Term Disadvantages? Labor Market
Consequences of High School Racial Composition.” American Journal of Sociology
121(4): 1116-67.
4. Musick, Kelly, Ann Meier, and Sarah Flood
2016 “How Parents Fare: Mothers’ and Fathers’ Subjective Well-Being in Time with
Children.” American Sociological Review 81(5): 1069-1095.
5. South, Scott J, Ying Huang, Amy Spring, and Kyle Crowder
2016 “Neighborhood Attainment over the Adult Life Course.” American Sociological
Review 81(6): 1276-1304.
6. 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
80:705-737.
7. Hughes, Melanie M. and Lisa D. Brush
2015 “The Price of Protection: A Trajectory Analysis of Civil Remedies for Abuse
and Women’s Earnings.” American Sociological Review 80:140-165.
8. 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.
9. 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.
10. 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.
11. 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.

Methods:
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.
4. Singer, Judith D.
1998 “Using SAS PROC MIXED to Fit Multilevel Models, Hierarchical Models, and
Individual Growth Models.” Journal of Educational and Behavioral Statistics 24: 323-
355.
5. Campbell, Lorne and Deborah A. Kashy
2002 “Estimating actor, partner, and interaction effects for dyadic data using PROC
MIXED and HLM: A user-friendly guide.” Personal Relationships 9: 327-342.
6. Muthen, Linda K. and Bengt O. Muthen
2010 Mplus User’s Guide. CA: Muthen & Muthen
7. Singer, Judith D. and John B. Willett
2003 Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence. NY:
Oxford University Press.


Structural Equation Models

Readings:
1. Fothergill, Kate, et al.
2016 “Pathways from Early Childhood Adversity to Later Adult Drug Use and
Psychological Distress: A Prospective Study of a Cohort of African Americans.”
Journal of Health and Social Behavior 57(2):223-239.

Reference:
2. Kane, Jennifer
2015 “An Integrative Model of Inter-and Intragenerational Preconception Processes
Influencing Birthweight in the United States.” Journal of Health and Social Behavior
56:246-261.
3. 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.
4. 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.

Methods:
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
Readings:
1. Dokshin, Fedor A.
2016 “Whose Backyard and What’s at Issue? Spatial and Ideological Dynamics of Local
Opposition to Fracking in New York State, 2010 to 2013.” American Sociological
Review 81(5):921-948.

Reference:
2. Goldberg, Amir, Sameer B. Srivastava, V. Govind Manian, William Monroe, and
Christopher Potts
2016 “Fitting In or Standing Out? The Tradeoffs of Structural and Cultural
Embeddedness.” American Sociological Review 81(6):1190-1222.
3. 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.
4. 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:
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.
5. Singer, Judith D. and John B. Willett
2003 Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence. NY:
Oxford University Press. 
評量方式
(僅供參考)
    
課程進度
週次
日期
單元主題
第1週
 2/20  Introduction to Class 
第2週
 2/27  Multilevel Analysis 1 
第3週
 3/06  Multilevel Analysis 2 
第4週
 3/13  Multilevel Analysis 3 
第5週
 3/20  Multilevel Analysis 4 
第6週
 3/27  Multilevel Analysis 5 
第7週
 4/03  Spring Holiday, No Class 
第8週
 4/10  Multilevel Analysis 6
Readings Discussion on Multilevel Analysis 
第9週
 4/17  Structural Equation Models 1 
第10週
 4/24  Structural Equation Models 2 
第11週
 5/01  Structural Equation Models 3 
第12週
 5/08  Structural Equation Models 4 
第13週
 5/15  Structural Equation Models 5
Readings Discussion on Structural Equation Models 
第14週
 5/22  Event History Analysis 1 
第15週
 5/29  Event History Analysis 2 
第16週
 6/05  Event History Analysis 3 
第17週
 6/12  Event History Analysis 4 (Final Exam begins.) 
第18週
 6/19  Event History Analysis 5 (Final Exam due)
Readings Discussion on Event History Analysis