HISTORY 595: QUANTITATIVE ANALYSIS OF HISTORICAL DATA
History 595 is a "how to" course. It teaches you
how to use statistical analysis to answer historical questions. Although I do
not assume that you have knowledge of statistics or any math beyond algebra,
you have to use some algebra to understand the statistics. The course also will
make use of the SPSS data analysis program and a computer for computations. So
you will need to understand how to use one of the programs and how to interpret
the output.
While the questions, data, and applications we will examine
will be historical, you will be able to use the skills you learn to analyze all
types of quantitative questions. These skills will be important to you if you
pursue graduate training in history and/or the social sciences, and be equally
useful if you pursue a career in business, government, or teaching.
History 595 fulfills the methods requirement in the History
major and the GER Quantitative Literacy (QLB) requirement.
 Instructor: Dr.
Margo Anderson
 Required Text: Roger
Simon, The City Building Process:
Housing and Services in New Milwaukee Neighborhoods, 18801910,
revised edition (American Philosophical Society). Make sure you get the 1996 edition.
 Materials: data
storage or flash drive; calculator (recommended).
 Classrooms: BOL
293, MW 23:15 PM
 Campus Labs: BOL
225; Also Library, Union.
 Telephones:
Office: 4142293969, 2294361. Make appointment by phone or via
electronic mail: margo@uwm.edu
 Instructor
Office Location: Holton 320
 Office Hours: MW
3:304:30 PM and by appointment, Holton 320, occasionally in BOL293.
 Grading:
Undergraduates:
There will be 10 home works, worth 50% of the total grade. The first seven will
be due on the Monday following the distribution of the assignment. The last 3
are biweekly, due on April 9, April 23, and May 7. More about
this in class. The midterm will be on March 14 (worth 15%). The final
exam, given on May 12, will be worth 25% of the grade. Attendance and class
participation are worth 10%.
Graduate Students: There will be 10 home
works, worth 40% of the total grade. The first seven will be due on the Monday
following the distribution of the assignment. The last 3 are biweekly, due on
April 9, April 23, and May 7. More about this in class.
The midterm will be on March 14 (worth 15%). The final exam, given on May 12,
will be worth 25% of the grade. Attendance and class participation are worth
10%. You will also write a short research paper based upon your analysis of the
data we are using (10% of the grade).
This
is a hard class. The material is cumulative, so if you miss a week or two, you
will likely be very confused. The many assignments are designed to help
you develop the routine to do well. Regular attendance in class also keeps
you on track. I also take attendance to monitor how everyone is
doing. So, my message is: Do not fall behind. Each week, you should
expect to spend 6 hours outside of class time working on the computer, reading,
and writing. Take time now to set aside those hours each week so you can do the
work for the course.
If you are a student with a disability, please feel free to contact me early
in the semester for any help or accommodations which
you may need.
See www.uwm.edu/Dept/SecU/SyllabusLinks.pdf
for UWM Academic policies.
The url
for this syllabus is: http://margoanderson.org/595/595syl2018.htm.
The Annenberg Project has a video series, "Against All Odds: Inside
Statistics." The tapes are available in the Multimedia Library and on the
web, http://www.learner.org/resources/series65.html.
These will be required viewing for some topics and supplement the materials in
class. We will also link data sets, examples, lecture notes, and
supplemental websites to syllabus, so the syllabus will grow in links as the
semester progresses.
Discussion
Topics, Assignments, and Due Dates
1

Jan 22

Introduction.
(1) Quantitative History, Historical Methods,
Research and Computers.
(2) matrix, case, variable,
code/value.
(3) algebra review.
(4) levels of measurement:
nominal, ordinal, interval variables.
(5) linear relationships, y
= a + bx; categorical relationships.
Read:
Simon, ch. 1. Look at the map on p. iv, and the
linked map below. View video 1
of Against All Odds: http://www.learner.org/courses/againstallodds/unitpages/unit01.html
If your algrebra is rusty,
try the practice tests here: http://www4.uwm.edu/Org/mmp/_activities/transition.html
Example: Variables
and Codebook. Accessing data: Example from the City Building
Process. Map
of Milwaukee.
Assignment 1

2

Jan 29

Univariate Statistics, Frequency Distributions.
Univariate
Statistics.
(1) Measures of central tendency: mean, median,
mode.
(2) Measures of dispersion: ntiles,
range, maximum, minimum, standard deviation, coefficient of
variation.
Read: Simon, ch. 2. View video 4 of Against All Odds: http://www.learner.org/courses/againstallodds/unitpages/unit04.html
Assignment2

3

Feb 5

Univariate
Statistics, cont.
Read:
Simon, ch 3. Recommended: View videos 2 and 3 of
Against All Odds. http://www.learner.org/resources/series65.html#program_descriptions
and click on programs 2 and 3.
Assignment 3:

4

Feb 12

Understanding Dispersion
Read: Simon, ch. 4. View
video 6 of Against All Odds: http://www.learner.org/resources/series65.html#program_descriptions
and click on video 6.
Assignment 4:

5

Feb 19

The Normal Curve; Z Score.
Read Simon, ch. 5. View video 7 and 8 of Against All
Odds: http://www.learner.org/resources/series65.html#program_descriptions
and click on videos 7 and 8.
Sampling Error
Assignment 5

6

Feb 26

Probability and Sampling; The Concept of Statistical
Significance. Introduction to
Bivariate Analysis
(1) Central Limit Theorem
(2) Confidence intervals
(3) Statistical Tests
Read:
Reread SimonÕs description of his research design, pp. 912. View videos 16, 17, and 18 of
Against All Odds, http://www.learner.org/resources/series65.html#program_descriptions
and click on videos 16, 17 and 18.
Video 22 also has related material.
Assignment 6:

7

Mar 5

Review of Univariate
Analysis and Moving to Bivariate Analysis. Dependent and Independent Variables
(1) Comparing means and proportions, TTest.
(2) Cross Tabulation, Chi Square Test.
(3) Bivariate Regression, y = a + bx. Correlation
Coefficient (r); Regression Coefficient (b);
Coefficient of Determination (R Square).
Read: View videos 13, 24, and 29 of Against All Odds,
http://www.learner.org/resources/series65.html#program_descriptions
and click on video 13, 24, 29.
Browse:
Here are websites with more tutorials, reference materials on basic
statistics. Use them as
needed.
VassarStats: http://vassarstats.net/
Online StatBook, couple
versions: http://onlinestatbook.com/
or http://onlinestatbook.com/2/
David LaneÕs Hyperstat
page: http://davidmlane.com/hyperstat/index.html
Assignment 7:

8

Mar 12

Bivariate Analysis, Continued.
March 14: MIDTERM.

9

Mar 26

Bivariate Analysis, Cont.
Paper Assignment
Read:
View videos 10, 11, 12 of Against All Odds, http://www.learner.org/resources/series65.html#program_descriptions
and click on
videos 10, 11, 12.
U.S. States Dataset. New World Dataset. Regression Exercise. Usstates.sav variable list. Newworld.sav variable list.
Assignment 8:

10

Apr 2

Bivariate to Multivariate Relationships. Building Models.
Correlation; Logarithms; Analysis of Variance; Hypothesis Tests
Useful Tables
(1) Ordinary Least Squares Regression Models
(2) Dummy Variables
(3) Regression Diagnostics
(4) Advanced Topics as Time Permits: Analysis of Variance (ANOVA); Time
Series; Logistic Regression
Read:
Simon, ch. 6; View videos 26 and 30 of
Against All Odds:
http://www.learner.org/resources/series65.html#program_descriptions
and click on
videos 26 and 30.

11

Apr 9

Bivariate to Multivariate Models, Cont.
Read: View videos 27 and 28 of Against All Odds: http://www.learner.org/resources/series65.html#program_descriptions
and click on
videos 27 and 28.
More Datasets.
Multiple Regression Tutorials
Assignment 9:

12

Apr 16

Multivariate Models, Cont.

13

Apr 23

Multivariate Models, Cont.
Assignment 10:

14

Apr 30

Multivariate Models, Cont.
Time Series. Logistic Regression 
15

May 7

Summing Up and Review.
Final Exam, Extra Credit Exam. Part V Chart. Part VI Tables. due May 12.


May 12

Final Examination: Saturday, 10:0012:00.
Graduate Students: Turn in Final Paper.

