|
課程名稱 |
高等社會研究統計方法
Advanced Statistical Methods for Social Research |
|
開課學期 |
100-2 |
|
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 |
3 |
|
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 |
生傳一 |
|
備註 |
本課程中文授課,使用英文教科書。
總人數上限：40人 |
|
Ceiba 課程網頁 |
http://ceiba.ntu.edu.tw/1002ASMSR |
|
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, and Event History Analysis |
|
課程目標 |
Multilevel Analysis, Structural Equation Models, and Event History Analysis |
|
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。
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%。
>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。
|
|
預期每週課後學習時數 |
|
|
Office Hours |
|
|
指定閱讀 |
Multilevel Analysis
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.
Readings:
Rippeyoung, Phyllis L. F. and Mary C. Noonan
2012 “Is Breastfeeding Truly Cost Free? Income Consequences of Breastfeeding for Women” American Sociological Review first published on February 1.
Kirk, David and Papachristos, Andrew V.,
2011 “Cultural Mechanisms and the Persistence of Neighborhood Violence” American Journal of Sociology 116: 1190-1233.
Structural Equation Models
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
1993 LIEREL 8: Structural Equation Modeling with the SIMPLIS. Command Language. IL: Scientific Software International.
Readings:
Moen, Phyllis, Erin L. Kelly, Eric Tranby, and Qinlei Huang
2012 “Changing Work, Changing Health: Can Real Work-Time Flexibility Promote Health Behaviors and Well-Being?” Journal of Health and Social Behavior, 52: 404-429.
Simons, Ronald L., Man Kit Lei, Steven R. H. Beach, Gene H. Brody, Robert A. Philibert, and Frederick X. Gibbons
2011 “Social Environment, Genes, and Aggression: Evidence Supporting the Differential Susceptibility Perspective” American Sociological Review, 76: 883-912.
Event History Analysis
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.
Readings:
Idler, Ellen, Howard Leventhal, Julie McLaughlin and Elaine Leventhal
2004 “In Sickness but Not in Health: Self-Ratings, Identity, and Mortality” Journal of Health and Social Behavior 45: 336-356.
Daniel Schneider
2011 “Wealth and the Marital Divide” American Journal of Sociology 117: 627-667.
|
|
參考書目 |
Readings:
Logistic Regression, Multinomial Logit Regression, Ordered Logit Regression, Poisson Regression, and Negative Binomial Regression
Kleinbaum, David G. and Mitchel Klein 2002 Logistic Regression: A Self-Learning Text. Springer Science Business Media, Inc.
Allison, Paul D. 2001. Logistic Regression Using the SAS System: Theory and Application.
SAS Institute Inc.
SAS Institute Inc. 1995. Logistic Regression Examples Using the SAS System.
Powers, Daniel A. and Yu Xie. 2000. Statistical Methods for Categorical Data Analysis. San Diego: Academic Press.
Readings:
Crowder, Kyle and Scott J. South
2005 ‘Race, Class, and Changing Patterns of Migration between Poor and Nonpoor Neighborhoods.’ American Journal of Sociology 110:1715-63.
*McLeod, Jane D. and Karen Kaiser. 2004. “Childhood Emotional and Behavioral Problems and Educational Attainment.” American Sociological Review 69:636-658.
*Bailey, Stanley R. 2004. “Group Dominance and the Myth of Racial Democracy: Antiracism Attitudes in Brazil.” American Sociological Review 69:728-747.
Multilevel Analysis
Methods:
1. Raudenbush, Stephen W. and Anthony Bryk
2002 Hierarchical Linear Models: Applications and Data Analysis Methods. Newbury Park: Sage Publications.
2. Raudenbush, Stephen W., Anthony S. Bryk, Yuk Fai Cheong, and Richard T. Congdon, Jr.
2001 HLM5: Hierarchical Linear and Nonlinear Modeling. Scientific Software International.
3. 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(4): 323-355.
4. 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.
5. Muthen, Linda K. and Bengt O. Muthen
2004 Mplus: Statistical Analysis with Latent Variables. User’s Guide.
6. Singer, Judith D. and John B. Willett
2003 Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence. Oxford University Press. Part I.
Readings:
Levels, Mark, Jaap Dronkers, and Gerbert Kraaykamp
2008 ‘Immigrant Children’s Educational Achievement in Western Countries: Origin, Destination, and Community Effects on Mathematical Performance.’ American Sociological Review 73:835-853.
*Downey, Douglas B., Paul T. von Hippel, and Beckett A. Broh. 2004. “Are Schools the Great Equalizer? Cognitive Inequality during the Summer Months and the School Year.” American Sociological Review 69:613-635.
*Morenoff, Jeffrey D.
2003 ‘Neighborhood Mechanisms and the Spatial Dynamics of Birth Weight.’ American Journal of Sociology 108:976-1017.
*Wheaton, Blair and Philippa Clarke
2003 ‘Space Meets Time: Integrating Temporal and Contextual Influences on Mental Health in Early Adulthood.’ American Sociological Review 68:680-706.
*Curtis, James E., Douglas E. Baer, and Edward G. Grabb
2001 ‘Nations of Joiners: Explaining Voluntary Association Membership in Democratic Societies.’ American Sociological Review 66:783-805.
*Schofer, Evan and Marion Fourcade-Gourinchas
2001 ‘The Structural Contexts of Civic Engagement: Voluntary Association Membership in Comparative Perspective.’ American Sociological Review 66:806-828.
*Cherlin, Andrew J., P. Lindsay Chase-Lansdale, and Christine McRae
1998 ‘Effects of Parental Divorce on Mental Health throughout the Life Course.’ Americal Sociological Review 63:239-249.
Structural Equation Models
Methods:
1. Long, J.S.
1983 Confirmatory Factor Analysis. Beverly Hills. CA: Sage ( Series No. 33 ).
2. Long, J.S.
1983 Covariance Structure Models: An Introduction to LISREL. Beverly Hills. CA: Sage ( Series No. 34 ).
3. Bollen, Kenneth A.
1989 Structural Equations with Latent Variables. New York: John Wiley ＆Sons.
4. Hayduk, Leslie A.
1987 Structural Equation Modeling with LISREL. The John Hopkins University Press.
5. Joreskog, K.G. and D. Sorbom
1993 LIEREL 8: Structural Equation Modeling with the SIMPLIS. Command Language. NJ: Lawrence Erlbaum Association Publishers.
6. Dunteman, G.H.
1989 Principle Components Analysis. Beverly Hills. CA: Sage ( Series No. 69 )
7. Hair, J.F., Jr., R.E. Anderson, R.L.Tatham, and W.C. Black
1995 Multivariate Data Analysis with Readings. 4th ed. Ch. 7. Pp. 364-406.
8. Kim, Jae-on and C.W. Mueller
1978 Introduction to Factor Analysis: What It Is and How to Do It. Beverly Hills. CA: Sage ( Series No. 13 ).
9. Kim, Jae-on and C.W. Mueller
1978 Factor Analysis: Statistical Methods and Practice. Beverly Hills. CA: Sage ( Series No. 14 ).
10. Kenny, D.A.
1979 Correlation and Causality. New York: John Wiley ＆ Sons.
11. Duncan, O.D.
1975 Introduction to Structural Equation Models. New York: Academic Press.
12. Hair, J.F., Jr., R.E. Anderson, R.L.Tatham, and W.C. Black
1995 Multivariate Data Analysis with Readings. 4th ed. Ch. 11. Pp. 616-693.
13. Dillon, W.R. and M.Goldstein
1984 Multivariate Analysis: Methods and Applications. New York: John Wiley ＆Sons. Ch. 12 Pp. 430-489.
Readings:
Kiesner, Jeff, Francois Poulin, and Eraldo Nicotra
2002 ‘Peer Relations across Contexts: Individual-Network Homophily and Network Inclusion In and After School.’ Child Development 74:1328-1343.
Matthews, Lisa S. and Rand D. Conger
2003 ‘ ”He Did It on Purpose！” Family Correlates of Negative Attributions About an Adolescent Sibling.’ Journal of Research on Adolescence 14: 257-284.
Sturge-Apple, Melissa L., Patrick T. Davies, Steven M. Boker, and E. Mark Cummings
2004 ‘Interparental Discord and Parenting: Testing the Moderating Roles of Child and Parent Gender.’ Parenting: Science and Practice 4: 361-380.
*Rogers, Stacy J. and Lynn K. White
1999 ‘Satisfaction with Parenting: The Role of Marital Happiness, Family Structure, and Parent’s Gender.’ Journal of Marriage and the Family 60:293-308.
*Amato, Paul R. and Alan Booth
1996 ‘Changes in Gender Role Attitudes and Perceived Marital Quality.’ American Sociological Review 60:58-66.
*Bartle-Haring, Suzanne, David A. Kenny, and Stephen M. Gavazzi
2000 ‘Multiple Perspectives on Family Differentiation: Analyses by Multitrait Multimethod Matrix and Triadic Social Relations Models.’ Journal of Marriage and the Family 61:491-503.
*Amato, Paul R. and Fernando Rivera
2001 ‘Paternal Involvement and Children’s Behavior Problems.’ Journal of Marriage and the Family 61:375-384.
*Davies, Patrick T., Levent Dumenci, and Michael Windle
1999 ‘The Interplay Between Maternal Depressive Symptoms and Marital Distress in the Prediction of Adolescent Adjustment.’ Journal of Marriage and the Family 61:238-254.
*Young, Margaret H., Brent C. Miller, Maria C. Norton, and E. Jeffrey Hill
1996 ‘The Effect of Parental Supportive Behaviors on Life Satisfaction of Adolescent Offspring.’ Journal of Marriage and the Family 57:813-822.
*Guo, Guang and Kathleen Mullan Harris
2000 ‘The Mechanisms Mediating the Effects of Poverty on Children’s Intellectual Development.’ Demography 37:431-447.
*Jang, Sung Joon and Terence P. Thornberry
1998 ‘Self-esteen, Delinquent Peers, and Delinquency: A Test of the Self-Enhancement Thesis.’ American Sociological Review 63:586-598.
Event History Analysis
Methods:
1. Box-Steffensmerier, Janet M. and Bradford S. Jones
2007 Event History Modeling: A Guide for Social Scientists. New York: Cambridge University Press.
2. Allison, Paul D.
1995 Survival Analysis Using the SAS System: A Practical Guide. NC: SAS Institution Inc.
3. Allison, Paul D.
1984 Event History Analysis: Regression for Longitudinal Event data. Sage Series No. 46.
4. Yamaguchi, Kazuo
1991 Event History Analysis. Newbury Park: SAGE Publications.
5. Singer, Judith D. and John B. Willett
2003 Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence. Oxford University Press. Part II.
Readings:
Soule, Sarah and Susan Olzak. 2004. “When Do Movements Matter? The Politics of Contingency and the Equal Rights Amendment.” American Sociological Review 69:473-497.
Myers, Daniel J. and Beth Schaefer Caniglia. 2004. “All the Rioting That’s Fit to Print: Selection Effects in National Newspaper Coverage of Civil Disorders, 1968-1969. American Sociological Review 69:519-543.
Palloni, Alberto and Eliazbeth Arias. 2004. “Paradox Lost: Explaining the Hispanic Adult Mortality Advantage.” Demography 41:385-415.
Fitzgerald, John M. and David C. Ribar. 2004. “Welfare Reform and Female Headship.” Demography 41:189-212.
|
|
評量方式
(僅供參考) |
|
|
週次 |
日期 |
單元主題 |
|
第1週 |
2/22 |
Introduction to Class and Multilevel Analysis 1 |
|
第2週 |
2/29 |
Multilevel Analysis 2 |
|
第3週 |
3/07 |
Multilevel Analysis 3 |
|
第4週 |
3/14 |
Multilevel Analysis 4 |
|
第5週 |
3/21 |
Readings Discussion on Multilevel Analysis |
|
第6週 |
3/28 |
Structural Equation Models 1 |
|
第7週 |
4/04 |
No Class |
|
第8週 |
4/11 |
Structural Equation Models 2 |
|
第9週 |
4/18 |
Structural Equation Models 3 |
|
第10週 |
4/25 |
Structural Equation Models 4 |
|
第11週 |
5/02 |
Structural Equation Models 5 |
|
第12週 |
5/09 |
Readings Discussion on Structural Equation Models |
|
第13週 |
5/16 |
Event History Analysis 1 |
|
第14週 |
5/23 |
Event History Analysis 2 |
|
第15週 |
5/30 |
Event History Analysis 3 |
|
第16週 |
6/06 |
Event History Analysis 4 |
|
第17週 |
6/13 |
Event History Analysis 5 and Readings Discussion on Event History Analysis (Final Exam begins.) |
|