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HISTORY 661 |
Professor Jules Tygiel |
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Tuesdays, 4:10-7:00 |
Science 224, x81119 |
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Office Hours: TH 2-3,
W 6-7 |
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purpose of this course will be to introduce students to the compilation,
access, and analysis of databases using the Statistical
Package for the Social Sciences
(SPSS). Students will learn to create databases, locate databases on
the internet and be given an introduction to statistical analysis. During
the first part of the course students will perform statistical analysis
based on a database provided by the instructor and write an explanatory
paper. During the latter portion of the course, students will select their
own base from the Internet and perform data analysis on that database and
write a paper.
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OPTIONAL SOFTWARE: I strongly advise all
students who wish to work at home and have Windows home computers that are
powerful enough to handle it to purchase copies of the most recent SPSS Student
Version. These software packages (or the graduate student versions of SPSS
13.0 for students) are available at the bookstore, or, you may order them
directly from Prentice Hall through their Web page:
www.prenhall.com. Use
their search engine and ask for SPSS 13.0. Unfortunately they are not
cheap. |
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COURSE
PREREQUISITES: All
students enrolled in this course are expected to have completed History
660 or have commensurate computer skills. These skills include:
1) Familiarity with the BSS Computer Network |
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GRADING: The major part of the final
grade will be based on the two reports indicating how well students have
mastered SPSS and can apply it to the databases. These reports will be due
on April 17 and May 22. There will also be assignments for
students to demonstrate their competency in using SPSS. |
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STATISTICS:
This course is not a class in statistics, but it will provide a brief
introduction and review of basic statistical concepts. For those of you
who need additional help with the statistical part of the course, I
suggest the following texts:
Freeman F. Elzey, A
Programmed Introduction to Statistics |
(This schedule will be highly flexible. Some topics may take us less time than anticipated, others more. If there are any additional subjects that you wish to cover or additional things that you wish to do with the data, let the instructor know. We will adjust the syllabus accordingly.)
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January 30 |
Introduction/ Writing a
Codebook |
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February 6 |
Constructing SPSS Programs
Using the Data Editor |
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February 13 |
Constructing SPSS Programs
Using the Data Editor--II |
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February 20 |
Frequencies |
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February 27 |
Descriptive Statistics for
Frequencies |
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March 6 |
Data Transformation: Recode,
Compute, If |
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March 13 |
Sampling and Testing
Differences in Means |
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March 20 |
Bivariate Analysis:
Crosstabs and Means |
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March 27 |
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| April 4 |
Finding Data Bases on the
Internet FIRST PAPER DUE |
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April 10 |
SPRING BREAK |
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April 17 |
Correlations, Plots, and
Regression Analysis |
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April 24 |
Time Series |
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May 1 |
Multivariate Analysis: Crosstabs and
Partial Correlation |
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May 8 |
Multivariate Analysis: Multiple Regression |
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May 15 |
Open Lab |
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May 22 |
SECOND PAPER DUE |