Introduction to Data Analysis††††††††††††††††††††††††††††††††††††††††††††††††††††††††††††††††††† Rev: 1/3/2012

Sociology 180B/280B


Draft Syllabus


Winter Quarter, 2013

Tuesdays and Thursdays


Building 200, Room 030



Lab/Section once a week for 75 minutes

time and place TBA


Michael J. Rosenfeld

Associate Professor

Department of Sociology

Building 120 room 124

The class website is my personal Stanford website

Office Hours TBA



Andy Isaacson <>

Marion Coddou <>


Use Coursework (not Axess) to sign up for section meeting times, and use Coursework to submit homework.






††††††††††† This class will cover basic statistics including regression, how do statistical analysis, and how to find flaws and problems with statistical analyses.

††††††††††† In the process of learning about data analysis you will also learn about demography and stratification in the U.S., because the dataset is the Current Population Survey of March, 2000, which is a nationally representative survey of more than 60,000 households, with lots of information about race, gender, income, occupation, place of residence, and so on.You'll also learn how to use one of the most powerful and flexible tools for data analysis, the statistical software STATA.


Readings and Grading Policy


Books (available at Stanford Bookstore):

* Freedman, David, Robert Pisani, and Roger Purves. 2007. Statistics. Fourth Edition. W.W. Norton. $105, ISBN: 0393929728 (recommended). If you know a little about statistics already, or if you have taken one statistics class like Stats 60, you donít need to buy the Freedman, and you can ignore the Freedman reading assignments.

* Tufte, Edward. 2001. The Visual Display of Quantitative Information. Graphics Press. $28,  0961392142 (required).


Other readings will be linked from the class website.



Software Required (order online)

* Intercooled (IC) Stata, Version 12. You may purchase either a 1 year license for $98,or a perpetual license for $179. I recommend the perpetual license so that you can use this software in the future. The software comes with a small introduction to Stata book. Donít bother buying Stataís massive printed reference book collection. I will teach you the Stata commands that you need to know, and the Stata online help is very good.



Computer Use Policy:

* Computer use by students in class is strictly limited to following along with the data analysis examples being presented by the professor.



1) Undergraduates, Soc 180B:


4 homeworks, 15% each

Regular section participation


Final exam (based on data analysis part of the course)




2) Graduate Students Soc 280B


4 homeworks, 15% each

Regular section participation


In-class presentation (data analysis of dataset of your own choosing) outline

10% (due date to be negotiated with professor Rosenfeld

In-class presentation (data analysis of dataset of your own choosing) actual presentation to class

20% (class presentation date to be negotiated with professor Rosenfeld)



Project and Reading Assignment Timeline




Class lecture Goals




Jan 8

Introduction to the class




Jan 10

Basics of descriptive data analysis using STATA

Read my Intro to Stata (required)

Read Freedman Ch 4

Hand out HW#1



Work on HW 1 and on using STATA









Jan 15

Observational Studies and their limitations

Freedman Ch 2



Jan 17

Error and bias

Freedman Ch 6




Work on HW 1 and on using STATA







Monday, Jan 21, HW #1 due by midnight


Jan 22

Error and bias

Freedman Ch 6

Hand out HW#2


Jan 24

Probability sampling, Sample size and power, and standard errors

Freedman Ch 20




Stata, and HW 2









Jan 29

More on sample size and power.

Freedman Ch 21



Jan 31

Statistics and hypothesis testing





Stata, and HW 2







Friday, Feb 1, HW#2 due by midnight


Feb 5

Introduction to regression with STATA

Freedman Chs 9, 10

Hand out HW#3


Feb 7

More on regression with STATA, interpreting coefficients

Freedman, Ch 11, 12




Work on HW #3









Feb 12

Problems with and difficulties in using regression, Graphing.

Tufte, P. 1-87 (required)



Feb 14

Proper and improper presentation of data

Tufte, P. 90-190 (required)




Work on HW #3







Friday, Feb 15, HW#3 due by midnight


Feb 19

Additivity, linearity, and regression fits


Hand out HW #4


Feb 21

Regression analysis: residuals and outliers

Readings by Jasso and Kahn and Udry, and Jassoís response posted on my website (all required)




Work on STATA, discuss the issues in HW 4









Feb 26

Logistic regression



Feb 28

Logistic regression and the likelihood ratio test




Work on STATA, discuss the issues in CPS HW #4









Mar 5

Polls, polling aggregation, and election prediction




Mar 7

Chisquare tests of independence





HW #4 due

Friday, March 8 by midnight



Work on STATA, discuss the issues in HW 4









March 12

Soc 280B in-class presentations



March 14

Final Exam Review



no section meetings















Final exam

at the regularly scheduled time and date