MB875 
General Linear Models 
Fall 2009 
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> MB875
William
B. Stevenson
Fulton
430B
Office Hours: Tu 1:302:00, Th 1112 or by appointment
Web: www:http://www2.bc.edu/~stevenw
This is a course in statistics. We will consider how the general linear model can be applied to analyze data. The only prior statistical experience expected is an undergraduate course in statistics.
Course Requirements:
There will be written assignments, a midterm and a research project.
Grading:
Written Assignments 
50% 
Class Participation 
10% 
Midterm 
20% 
Research Project 
20% 
Written Assignments: There are two types of written assignments: statistical assignments and reports on your final project. We will be using SPSS for statistical assignments. These papers are to be typed and doublespaced and should not exceed 5 pages excluding tables. Please remember to number your pages. There are times when you will have to do both types of assignments for the next week. People should do their own work. Late papers will be dropped one grade for every day late.
Class Participation: Your attendance and participation are important for a mutually rewarding learning experience. Each student will be asked to lead a “Critique” of an article during the semester. Here are the guidelines for the critique. Your participation grade will be based on your attendance and participation.
Final Project: You will analyze a dataset and hand in your results at the end of the semester. You may use your own data set or find one as explained below. Throughout the semester you will be reporting on your progress analyzing the data set. You should also hand in written reports not to exceed 5 pages.
SPSS. You will need to download or purchase a copy of the statistical package SPSS (Statistical Package for the Social Sciences). You can download a free copy of SPSS 16.0. You can also access the manuals for the software. In order to access the software or manuals you will need to provide your Boston College user name and password. You can also purchase the software online or buy a copy at the bookstore. There are several versions available for students. The "grad pack" is quite comprehensive and costs $200. I would advise downloading the software for free.
Required Reading:
Agresti, A. and B. Finlay. Statistical Methods for the Social Sciences, 4th edition. NJ: Prentice Hall. 2009. ISBN: 0205632491.
Norusis, Marija J. SPSS 16.0 Guide to Data Analysis.(2nd ed.), NJ: PrenticeHall. 2008. ISBN: 0136061362.Fox, John. An R and SPlus Companion to Applied Regression. CA: Sage. 2002. ISBN: 0761922806 (pbk.).
A collection of readings. They are available online and will say "online" after the reference.
MB 875 Schedule
I. Hypothesis Testing
Note: SMSS is an abbreviation for "Statistical Methods in the Social Sciences",SPSSGDA is an abbreviation for "SPSS 16.0 Guide ...", and RnS is an abbreviation for "An R and SPlus Companion ...".
Topic 
Date 
Readings/Class Activities 
Describing and Displaying DataStatistics on the Web 
9/8 
Reading: SMSS: Ch. 1,3 SPSSGDA: ch. 15,9 
Hypothesis Testing  9/15  Reading: SMSS: ch. 47 SPSSGDA: ch. 67, 1014 Assignment 1 for next week: Using SPSS, boxplots, means, ttests 
Contingency Tables  9/22  Reading: SMSS: ch. 8 SPSSGDA: ch. 8, 17, 19 Final Assignment interim report 1 due: Initial report on dataset Assignment 2 for next week: Contingency tables 
II. General Linear Modeling
ANOVA  9/29  Reading: SMSS: ch. 12.112.2 SPSSGDA: ch. 1516 
Regression and Correlation 
10/6 
Reading: SMSS: ch. 9 SPSSGDA: ch. 2021 Final Assignment interim report 2 due : Description of Data Assignment 3
for next week: ANOVA 
Multiple Regression I: Multiple
Regression, 
10/13 
Reading: SMSS: ch.11, 12.312.5 
Multiple Regression II: 
10/20 
Reading: RnS: ch. 6 
Intro to R

10/27  Reading: RnS: ch. 14 
Multiple
Regression III: Residuals 
11/3  Reading: SPSSGDA: ch 22 
Multiple
Regression IV:Interaction and Causality 
11/10  Reading: Assignment 5 for next week: Using R to diagnose multiple regression models

Multiple Regression V: Logistic Regression 
11/17  Reading: SMSS: ch. 15 Critique: 
General Linear Models 
11/24 
Reading: RnS: ch. 5 Critique: Making use of difference: Diversity, debate, and decision comprehensiveness in top management teams by Tony Simons, L. H. Pellad, and K.A. Smith, Academy of Management Journal, 1999, 42(6): 662673. (online) Employees'
goal orientations, the quality of leadermember exchange, and the outcomes
of job performance and job satisfaction by Onne Janssen and Nico W.
Van Yperen,
Academy of Management Journal, 2004, 47(3):368384.
(online) 
III. Causal Modelling in the General Linear Model Framework
12/1 
Reading: SMSS: ch. 16: p.527532, 537541 Linking theory construction
and theory testing. 1986. Hughes et al Critique: Board
Committee Membership: Effects of SexBased Bias. 1994. 

Conclusions  12/8  Critique: Service
With a Smile: Emotional Contagion in the Service Encounter. 

12/15 

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