Class
Semester
Professor
Contact Info
Office Hours
Meeting Time
Location
Introduction to Linear Statistical Models: 26:960:577:01
Fall, 2010
Michael L. Barnes, Ph.D. michael.barnes@knowledgent.com, 201-213-3049 (m)
By appointment
Thursdays, 10:00am – 12:50pm
TBD
Prerequisites
Auditing
Major Topics
A course in statistics
By permission, but generally discouraged
Covariance, Correlation, Bivariate & Multiple Regression, Time Seris
Analysis, ANOVA, ANCOVA and MANOVA, Factor Analysis,
Structural Equation Models
If Time Permits Logistic Regression
I. Course Requirements
A. Homework: 30%
There are 3 assignments, weighted equally to determine your final grade. They will cover the major topics explored in this course. Assignments will generally require the use of a computerized statistical package. I will provide the data, however, you are free to use any statistical package you prefer.
B. Midterm: 20%
The midterm is a one-hour long in class exam. You may use your notes, cribsheet, calculator, personal, mini or even main frame computer. You may bring anything you wish to the exam that you feel may help you on the final, as long as it is not human.
C. Final Exam OR Project: 50%
Final Exam AND Project: 25% each
Final Exam:
The final exam is a comprehensive 3 hour long open note, open book, open calculator, open cheat-sheet, everything but open friend. You may bring any nonsentient material you wish to the exam.
Project:
Goal is for you to use some or all of the techniques presented in this course on data that you routinely analyze. I want you to bring these techniques into your own reality. The project write-up should be in a format you would submit to a peer-review journal (e.g., APA format). The format should follow the general structure of Abstract, Methods, Results, and Conclusions. If you do not have data, we can agree on a dataset that I provide or is publicly available.

II. Texts
Nine Sage Papebacks in the Quantitative Applications in the Social Sciences Series. The required and optional volumes are listed below.
Lecture Notes serve as important reading assignments for every lecture topic and will be available on BlackBoard at least a week before class.
III.
Lecture Schedule
Date Lecture Reading Assignment HW Due Description
2-Sep
9-Sep
16-Sep 3
23-Sep 4
1
2
30-Sep 5
7-Oct 6
14-Oct
21-Oct
7
8
28-Oct 9
4-Nov 10
11-Nov 11
18-Nov 12
25-Nov
2-Dec 13
9-Dec 14
Lecture Notes
Lecture Notes
22, chp1-2
17; 22, chp 3
72
1
1
22
9
54 (19 & 47 rec)
13 (14 rec)
3
None Introduction, Syllabus, Course Overview, Review
None Statistical Inference & Comparing Means
None Covariance, Correlation, Bivariate Regression
HW1 Reliability&Validity, Introduction to Multiple Regression
None Multiple Regression II: Coefficients, Curves & Interactions
None Analysis of Variance & Multiple Comparisons
None Midterm , Factorial ANOVA & Repeated Measures
None Multiple Regression III: Categorical Variables & ANCOVA
HW2 Building Models & Suppression; Time Series Analysis
None MANOVA, Canonical Correlation, Discriminant Analysis
None Factor Analysis
None Structural Equation Models
None No Class
HW3 Structural Equation Models
Logistic Regression
3
146
16-Dec Final Exam, Project Due
Sage Texts:
Lecture # Title (Required)
3 & 4 Applied Regression: An Introduction
4
5
Reliability and Validity Assessment
Author
Michael Lewis-Beck
Edward Carmines & Richard Zeller
Interaction Effects in Multiple Regression Jaccard, Turrisi, and Wan
6 & 7 Analysis of Variance
9 Time Series Analysis
10
11
Multivariate Analysis of Variance
Introduction to Factor Analysis
12 & 13 Causal Modeling
14 Logistic Regression Models
Gudmund R. Iversen
Charles Ostrum
James Bray & Scott Maxwell
Jae-On Kim
Herbert B Asher
Ann A. O'Connell
Lecture #
10
10
11
Title (Optional)
Discriminant Analysis
Canonical Correlation Analysis
Factor Analysis
Author
William R. Klecka
Bruce Thompson
Jae-On Kim
Series #
22
17
72
1
9
54
13
3
146
Series #
19
47
14
ISBN
9780803914940
9780803913714
9780761927426
9780803930018
9780803931350
9780803923102
9780803911659
9780803906549
9780761929895
ISBN
9780803914919
9780803923928
9780803911666
Pages
80
72
104
96
96
80
80
96
126
Pages
72
72
88
Price
$17.95
$17.95
$17.95
$17.95
$17.95
$17.95
$17.95
$17.95
$17.95
Price
$17.95
$16.95
$17.95
Sage Website: http://www.sagepub.com/booksSeries.nav?series=Series486&seriesDesc=Quantitati ve%20Applications%20in%20the%20Social%20Sciences&_requestid=32329
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