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
 108-2 
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/1082BICD7128_ 
課程簡介影片
 
核心能力關聯
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課程大綱
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課程概述

Multilevel Analysis
Latent Class Analysis
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，請使用中文或英文書寫（但不能直接剪貼論文內容）。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50%，期末考佔50%。

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:
a. Hargrove, Taylor W.
2018 “BMI Trajectories in Adulthood: The Intersection of Skin Color,
Gender, and Age among African Americans.” Journal of Health and Social
Behavior 59(4): 501-519.
b. Reardon, Sean, Demetra Kalogrides, and Kenneth Shores
2019 “The Geography of Racial/Ethnic Test Score Gaps.” American
Journal of Sociology 124(4): 1161-1221.

Reference:
1. Chen, Feinian, et al.
2019 “Time-sue Profiles, Chronic Role Overload, and Women’s Body
Weight Trajectories from Middle to Latter Life in the Philippines.”
Journal of Health and Social Behavior 60(1): 119-136.
2. Bakhtiari, Elyas, Sigurn Olafsdottir, and Jason Beckfield
2018 “Institutions, Incorporation, and Inequality: The Case of
Minority Health
Inequalities in Europe.” Journal of Health and Social Behavior
59(2):248-267.
3. Glass, Jennifer, Matthew A. Andersson, and Robin W. Simon
2017 “Parenthood and Happiness: Effects of Work-Family Reconciliation
Policies in 22 OECD Countries.” American Journal of Sociology 122(3):
886-929.
4. 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.
5. 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.
6. 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.

7. 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.
8. 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.
9. 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.
10. 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.
11. 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.
12. 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.
13. 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.
14. 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.

Readings for 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.



Latent Class Analysis
Readings:
a. Daw, Jonathan, Rachel Margolis, and Laura Wright
2017 “Emerging Adulthood, Emergent Health Lifestyles: Sociodemographic
Determinants of Trajectories of Smoking, Binge Drinking, Obesity, and
Sedentary Behavior.” Journal of Health and Social Behavior 58(2): 181-
197.
b. Knight, Carly R. and Mary C. Brinton
2017 “One Egalitarianism or Several? Two Decades of Gender-Role
Attitude Change in Europe.” American Journal of Sociology 122(5):
1485-1532.

Reference:
1. OBrien, Timonthy L. and Shiri Noy
2015 “Traditional, Modern, and Post-Secular Perspectives on Science
and Religion in the United States.” American Sociological Review
80(1): 92-115.
2. Frech, Adrianne and Sarah Damaske
2019 “Men’s Income Trajectories and Physical and Mental Health at
Midlife.”
American Journal of Sociology 124(5): 1372-1412.
3. Yamaguchi, Kazuo
2000 “Multinomial Logit Latent-Class Regression Models: An Analysis of
the Predictors of Gender Role Attitudes among Japanese Women.”
American Journal of Sociology 105(6): 1702-1740.
4. Arney, William Ray and William H. Trescher
1976 “Trends in Attitudes Toward Abortion, 1972-1975.” Family Planning
Perspectives 8(3): 117-127.

Readings for Methods:
1. Collins, Linda M. and Stephanie T. Lanza
2010 Latent Class and Latent Transition Analysis with Applications in
the Social, Behavioral, and Health Sciences John Wiley & Sons, Inc.
2. Hagenaars, Jacques A. and McCutcheon, Allan L.
2002 Applied Latent Class Analysis, Cambridge University Press.
3. Vermunt, Jeroen K.
2003 “Multilevel Latent Class Models” Sociological Methodology 33:213-
239.
4. 謝雨生、鄭宜仲
2000 「潛在結構模式（Latent Structure Models）在行為科學中的應用」長庚護理
雜誌 11(4): 36-45.
5. Clogg, Clifford C.
1981 “New Developments in Latent Structure Analysis.”Pp.215-46 Factor
Analysis and Measurement in Sociological Research, edited by D. J.
Jackson and E. F. Borgotta. Beverly Hills, CA: Sage.
6. Clogg, Clifford C.
1988 “Latent Class Models for Measuring.”Pp.173-205 in Latent Trait
and Latent Class Models, edited by R. Langeheine and J. Rost. New
York: Plenum.
7. Clogg, Clifford C.
1995 “Latent Class Models.”Pp. 311-59 in Handbook of Statistical
Modeling for the Social and Behavioral Sciences, edited by G.
Arminger, Clifford C. Clogg, and M. E. Sobel. New York: Plenum.
8. Hagenaars, Jacques A.
1998 “Categorical Causal Modeling: Latent Class Analysis and Directed
Log-Linear Models with Latent Variables.” Sociological Methods &
Research 26(4): 436-486.
9. Magidson, Jay and Jeroen K. Vermunt
2001 “Latent Class Factor and Cluster Models, Bi-Plots, and Related
Graphical Displays.” Sociological Methodology 31:223-264.


 
Event History Analysis
Readings:
a. Benda, Brent B.
2005 “Gender Differences in Life-Course Theory of Recidivism: A
Survival Analysis.” International Journal of Offender Therapy and
Comparative Criminology 49(3):325-342.
b. Barber, Jennifer S., Yasamin Kusunoki, Heather H. Gatney, and Jamie
Budnick 2018 “The Dynamics of Intimate Partner Violence and the Risk
of Pregnancy during the Transition to Adulthood.” American
Sociological Review 83(5):1020-1047.

Reference:
1. Warner, Tarak D., David F. Warner, and Danielle C. Kuhl
2017 “Cut to the Quick: The Consequences of Youth Violent
Victimization for the Timing of Dating Debut and First Union
Formation.” American Sociological Review 82(6):1241-1271.
2. 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.
3. 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.
4. 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.
5. 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.

Readings for 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
 3/04  Introduction to Class 
第2週
 3/11  Multilevel Analysis 1 
第3週
 3/18  Multilevel Analysis 2 
第4週
 3/25  Multilevel Analysis 3 
第5週
 4/01  Multilevel Analysis 4 
第6週
 4/08  Multilevel Analysis 5 
第7週
 4/15  Multilevel Analysis 6
Readings Discussion on Multilevel Analysis 
第8週
 4/22  Latent Class Analysis 1 
第9週
 4/29  Latent Class Analysis 2 
第10週
 5/06  Latent Class Analysis 3 
第11週
 5/13  Latent Class Analysis 4 
第12週
 5/20  Latent Class Analysis 5
Readings Discussion on Latent Class Analysis 
第13週
 5/27  Event History Analysis 1 
第14週
 6/03  Event History Analysis 2 
第15週
 6/10  Event History Analysis 3 
第16週
 6/17  Event History Analysis 4
Final Exam Begin 
第17週
 6/24  Event History Analysis 5
Final Exam due 
第18週
 07/01  Event History Analysis 6
Readings Discussion on Event History Analysis