Categorical Data Analysis

(Analysis of Qualitative Data)

Winter 1997

TTh 10:00-11:20, Eckhart 133

Course schedule and homework due dates modified.

**Instructor.**- Ronald Thisted, Eckhart 126
(thisted@galton.uchicago.edu), 702-8332, Office hours: M 3-4, and
by appointment.
**Course Assistant.**- Molly Huang, Eckhart 131
(huang@galton.uchicago.edu), 702-7875, Office Hours: W 11-12.
**Prerequisite.**- Statistics 220 or permission of instructor.
**Text.**- Agresti.
*Categorical Data Analysis*, Wiley, 1990.

This book is ordered through the University Bookstore.Adobe PDF **Electronic communication.**- Homework, reading assignments, corrections, notes, schedules, and
similar information will be posted on the web page
`http://www.stat.uchicago.edu/~thisted/courses/226`

.*You should check this page regularly, since you are responsible for its contents. The heading will always indicate the date on which this page was most recently updated.* **Final Exam:**- Tuesday, March 18, 10:30 am-12:30 pm

The last class of the quarter will meet on March 11 (Tuesday); March 13 is in the reading period. **Midterm Exam:**- Thursday, February 13, in class.
**Homework:**- One per week.
**Late assignments are not accepted**, so plan ahead. Computers sometimes (often?) fail at inconvenient times, such as the morning that homework is due. **Grades:**- Homework: 40%, Midterm: 25%, Final: 35%.
**Computers and software**- We shall be using the
`Stata`

statistical program for most of the computations in this course. At present,`Stata`

can be found on the Windows PCs in Usite, and possibly at Crerar and Regenstein. It is possible that`Stata`

may become available on the University's SUN server ("mach") during the quarter.

Date | Lecture | Read | Due | |
---|---|---|---|---|

1/7 | Introduction; Comparing proportions | Chap 1; 2.1 | ||

1/9 | Association in 2-way contingency tables; Stata | 2.2-2.3 | ||

1/14 | Inference for 2-way tables | 2.4, 3.1 | HW1 | |

1/16 | Inference for 2-way tables II | 3.1 | ||

1/21 | Inference for 2-way tables III |
3.2-3.6 | ||

1/23 | Generalized linear models Logistic regression |
4.1-4.2 | HW2 | |

1/28 | Generalized linear models Probit, Extreme-value regression; Diagnostics Loglinear models intro |
4.4-4.6;5.1-5.2 | ||

1/30 | Loglinear models II | 5.3-5.4 | HW3 | |

2/4 | Partitioning Chi-squared Model selection |
7.1-7.2 | ||

2/6 | Residual analysis Conditional independence and association |
7.3-7.5 | HW4 | |

2/11 | Sample size and power Sparse tables |
7.6-7.7 | HW5 | |

2/13 | Midterm Exam -- in class | |||

2/18 | Ordered categories; row effect models | 8.1-8.2 | ||

2/20 | Multidimensional ordinal tables | 8.3-8.4 | ||

2/25 | RC (log-bilinear) models | 8.5-8.6 | HW6 | |

2/27 | Multinomial response models | 9.1-9.2 | ||

3/4 | Logit and probit models for ordered responses | 9.3-9.5 | HW7 | |

3/6 | Matched pairs of categorical responses | 10.1-10.3 | ||

3/11 | Models and measures of association for matched pairs of ordered responses |
10.4-10.6 | HW8 | |

3/13 | Reading Period - no class | |||

3/18 | Final Exam 10:30-12:30 |