General Linear Models

Fall  2009

Home > MB875

William B. Stevenson
Fulton 430B
Office Hours: Tu 1:30-2:00, Th 11-12 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.


Written Assignments


Class Participation




Research Project


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 double-spaced 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: 0-20-563249-1.

Norusis, Marija J. SPSS 16.0 Guide to Data Analysis.(2nd ed.), NJ: Prentice-Hall. 2008. ISBN: 0-1360-6136-2.

Fox, John. An R and S-Plus Companion to Applied Regression. CA: Sage. 2002. ISBN: 0-7619-2280-6 (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 S-Plus Companion ...".



Readings/Class Activities

Describing and Displaying Data

Statistics on the Web




SMSS: Ch. 1,3

SPSSGDA: ch. 1-5,9

Hypothesis Testing 9/15


SMSS: ch. 4-7

SPSSGDA: ch. 6-7, 10-14

Assignment 1 for next week: Using SPSS, boxplots, means, t-tests

Contingency Tables 9/22


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


SMSS: ch. 12.1-12.2

SPSSGDA: ch. 15-16

Regression and Correlation



SMSS: ch. 9

SPSSGDA: ch. 20-21

Final Assignment interim report 2 due : Description of Data

Assignment 3 for next week: ANOVA

Multiple Regression I: Multiple Regression,
Dummy Variables and Interactions



SMSS: ch.11, 12.3-12.5

Illustration of the Use of Dummy Variables

Assignment 4 for next week: Multiple regression as ANOVA and ANCOVA

Multiple Regression II:
Regression Diagnostics



RnS: ch. 6

SMSS: ch. 14

SPSSGDA: ch. 23-24


Intro to R




RnS: ch. 1-4

Installing R, Using R and R Commander

Multiple Regression III:


SPSSGDA: ch 22

Multiple Regression IV:Interaction and Causality
Mediator Variables



SMSS: ch. 10

The moderator-mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations by Baron and Kenny, Journal of Personality and Social Psychology, 1986, 51(6):1173-1182. (online)

Testing moderator and mediator effects in counseling psychology research by Frazier, Tix and Baron, Journal of Counseling Psychology, 2004, 51(1): 115-134. (online)

Assignment 5 for next week: Using R to diagnose multiple regression models


Multiple Regression V: Logistic Regression



SMSS: ch. 15


Talking trash: Legitimacy, impression management, and unsystematic risk in the context of the natural environment by Pratima Bansal and Iain Clelland, Academy of Management Journal, 2004, 47(1): 93-104. (online)

General Linear Models



RnS: ch. 5


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): 662-673. (online)

Employees' goal orientations, the quality of leader-member 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):368-384. (online)

Final Assignment interim report 3 due
: Regression results

III. Causal Modelling in the General Linear Model Framework

Path Analysis

Structural Equation Models



SMSS: ch. 16: p.527-532, 537-541

Linking theory construction and theory testing.  1986. Hughes et al
. Academy of Managment Review, 11(1): 128-144. (online)


Board Committee Membership: Effects of Sex-Based Bias. 1994.
by Diana Bilimoria and Sandy Kristin Piderit, Academy of Management Journal, 37(6):1453-1477. (online)

Conclusions 12/8


Service With a Smile: Emotional Contagion in the Service Encounter.
2001 S. Douglas Pugh, Academy of Management Journal, 44(5): 1018-1027. (online)

Final Assignment Oral Presentation


Written Final Assignment Due


Home > MB875

This page last modified on 8/27/09