課程資訊
課程名稱
 類別資料分析
Categorical Data Analysis 
開課學期
 108-2 
授課對象
 理學院  心理學系  
授課教師
 姚開屏 
課號
 Psy5011 
課程識別碼
 227 U0300 
班次
  
學分
 3.0 
全/半年
 半年 
必/選修
 選修 
上課時間
 星期二2,3,4(9:10~12:10) 
上課地點
 南館地下A 
備註
 總人數上限：20人 
Ceiba 課程網頁
 http://ceiba.ntu.edu.tw/1082Psy5011_CDA 
課程簡介影片
 
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課程概述

待補 

課程目標
 1. 瞭解類別資料的類型及分析方法（以教科書的前八章為主）
2. 知道如何使用統計軟體分析類別資料 (以 SAS、R 為主)
3. 知道如何解釋統計分析報表 
課程要求
 待補 
預期每週課後學習時數
  
Office Hours
  
指定閱讀
 Agresti. A. (2007/2019). An Introduction To Categorical Data Analysis
(2 nd /3 rd ed.). Wiley.

Agresti, A. (1990/2002/2012). Categorical Data Analysis (1 st /2 nd /3 rd ).
Wiley. (如有興趣) 
參考書目
 1. Agresti, A. (1984/2010). Analysis of Ordinal Categorical Data. Wiley.
2. Allison, P. D. (1999). Logistic Regression Using the SAS System: Theory
and Application. SAS.
3. Anderson, E.B. (1980). Discrete Statistical Models with Social Science
Applications. North-Holland.
4. Anderson, E.B. (1994). The Statistical Analysis of Categorical Data (3 rd
ed.). Springer-Verlag.
5. Anderson, E.B. (2001). Introduction to the Statistical Analysis of
Categorical Data .Springer-Verlag.
6. And Anderson, F. (2016). Categorical Data Modeling by Example: Hands on
approach using R (Statistics By Example).
7. Azen, R., & Walker, C. M. (2011). Categorical Data Analysis for the
Behavioral and Social Science. Routledge.
8. Bilder, C. R., & Loughin, T. M. (2014). Analysis of Categorical Data
with R (Chapman & Hall/CRC Texts in Statistical Science) 1st Edition.
9. Bishop, Y.M.M., Fienberg, S. E., & Holland, P.W. (1975). Discrete
Multivariate Analysis: Theory and Practice. MIT.
10. Christenson, R. (1990). Log-Linear Models. Springer-Verlag.
11. Congdon, P. (2005). Bayesian models for categorical data. Wiley.
12. Everitt, B. S. (1992). The Analysis of Contingency Tables, (Chapman &
Hall/CRC Monographs on Statistics & Applied Probability), 2 nd ed.
13. Fienberg, S.E. (1981/2007). The Analysis of Cross-Classified
Categorical Data (2 nd ed.). MIT
14. Fingleton, B. (1984). Models of Category Counts. Cambridge.
15. Fleiss, J.L., et. al.(1980/2003). Statistical Methods for Rates and
Proportions (2nd ed./3rd ed.). Wiley.
16. Freeman, D.H. (1987). Applied Categorical Data Analysis. Marcel Dekker.
17. Friendly, M., & Meyer, D. (2016). Discrete Data Analysis with R:
Visualization and Modeling Techniques for Categorical and Count Data (Chapman
& Hall/CRC Texts in Statistical Science), 1st Edition.
18. Gilbert, G..N. (1981). Modeling Society: An Introduction to Loglinear
Analysis for Social Researchers. George Allen & Unwin.
19. Goodman, L.A. (1978). Analyzing Qualitative/Categorical Data: Log-
Linear Models and latent Structure Analysis. Abt.
20. Goodman, L.A., & Kruskal, W.H. (1979). Measures of Association for
Cross Classifications. Springer-Verlag.
21. Goodman, L.A. (1984). The Analysis of Cross-Classified Data Having
Ordered Categories. Cambridge
22. Haberman, S.J. (1974). The Analysis of Frequency Data. Univ. of
Chicago.
23. Haberman, S.J. (1978 & 1979). Analysis of Qualitative Data. Academic
Press. Vol. 1: Introductory Topics. Vol. 2: New Developments.
24. Hagenaars, J.A. (1990). Categorical Longitudinal Data: Log-linear
Panel, Trend, and Cohort analysis. SAGE.
25. Hirji, K. F. (2005). Exact Analysis of Discrete Data, 1st Edition.
26. Hosmer, D.W. & Lemeshow, D. (1989/2000/2013). Applied Logistic
Regression. Wiley.
27. Keenedy, J.J. (1992). Analyzing Qualitative Data: Log-Linear Analysis
for Behavioral Research (2 nd ed.). Praeger.
28. Kleinbaum, D. G., Klein, M., & Pryor, E. R. (2000). Logistic
Regression: a self-learning text (2 nd ed.)
29. Langeheine, R., & Rost, J. (1988). Latent Trait and Latent Class
Models. Plenum.
30. Lawal, B., & Lawal, H. B.(2013). Categorical Data Analysis With SAS and
SPSS Applications.
31. Le, C.T. (1998). Applied Categorical Data Analysis. Wiley. Le, C.T.
(2010). Applied Categorical Data Analysis and translational research.
Wiley. 2 nd ed.
32. Leonard, T. (1999).A Course in Categorical Data Analysis (Chapman &
Hall/CRC Texts in Statistical Science)
33. Lindsey, J. K. (1989). The Analysis of Categorical Data Using GLIM
(Lecture Notes in Statistics)
34. Lloyd, C.J. (1999). Statistical Analysis of Categorical Data. Wiley.
35. Long, J. S. (1997). Regression Models for Categorical and Limited
Dependent Variables. SAGE.
36. Long, J. S., & Freese, J. (2006). Regression Models for Categorical
Dependent Variables Using Stata (2 nd ed.)
37. Patetta, M., & Amrhein, J. (2005). Categorical Data Analysis Using
Logistic Regression: Course Notes. SAS.
38. Plackett, R.L. (1981). The Analysis of Categorical Data. MacMillan.
39. Power, D.A., & Xie, Y. (2000/2008). Statistical Methods for Categorical
Data Analysis. Emerald Group.
40. Rudes, T. (2018). Lectures on Categorical Data Analysis (Springer Texts
in Statistics).
41. Santner, T.J., & Duffy, D.E. (1989). The Statistical Analysis of
Discrete Data. Springer-Verlag.
42. Simonoff, JS. (2003). Analyzing categorical data. Springer.
43. Stokes, M.E., Davis, C.S., & Koch, G..G.. (1995/2000/2012). Categorical
Data Analysis using the SAS system (1 st /2 nd /3 rd ). SAS.
44. Tang, W., He, Hua, & Tu XM. (2012). Applied Categorical and Count Data
Analysis. Chapman & Hall/CRC Texts in Statistical Science.
45. Tutz, G. (2011). Regression for Categorical Data. Cambridge.
46. Tutz, G., & Schmid, M. (2016). Modeling Discrete Time-to-Event Data
(Springer Series in Statistics) 1st ed.
47. Upton, G..J. (1978). The Analysis of Cross-Tabulated Data. Wiley.
48. Upton, G. J. (2016). Categorical Data Analysis by Example, 1st Edition.
49. van der Ark, LA, Marcel A. Croon, MA, & Sijtsma, K. (2004/2009/2013).
New Developments in Categorical Data Analysis for the Social and Behavioral
Sciences (1st ed./Kindle ed.)
50. van de Geer, J.P. (1993). Multivariate Analysis of Categorical Data.
SAGE. Vol. 1: Theory. Vol. 2: Applications.
51. von Eye, A., & Niedermeier, KE (2009). Statistical Analysis of
Longitudinal Categorical Data in the Social and Behavioral Sciences: An
Introduction with Computer Illustrations (Kindle Edition)
52. Wickens, T.D. (1989). Multiway Contingency Tables Analysis for the Social
Sciences. LEA.
53. Zelterman, D. (2006). Models for Discrete Data, Revised Edition.  
評量方式
(僅供參考)
  
No.
項目
百分比
說明
1. 
 作業 
100% 
 作業共 6~7 次  
 
課程進度
週次
日期
單元主題
第1週
 03/03  Introduction, Chap. 1 
第2週
 03/10  CH2 Two-Way & Three-Way Contingency Tables 
第3週
 03/17  CH3 Generalized Linear Models  
第4週
 03/24  CH3 Generalized Linear Models  
第5週
 03/31  CH4 Logistic Regression  
第6週
 04/07  CH4 Logistic Regression  
第7週
 04/14  CH5 Building & Applying Logistic Regression Models  
第8週
 04/21  CH5 Building & Applying Logistic Regression Models  
第9週
 04/28  CH6 Multicategory Logit Models  
第10週
 05/05  CH6 Multicategory Logit Models  
第11週
 05/12  CH7 Loglinear Models  
第12週
 05/19  CH7 Loglinear Models  
第13週
 05/26  CH8 Models for Matched Pairs