IS4800 Empirical Research Methods for Information Science
Spring 2012
Course Description and Syllabus

www.ccs.neu.edu/course/is4800sp12,  Prof. Carole Hafner
Class meetings: Wed Fri 11:45 - 1:25 Room 12 HA
Contact Info: hafner@ccs.neu.edu   446 WVH tel. 617-373-5116
Office Hours: Tues, Wed 2-3 p.m.

Introduction

Weekly schedule of topics and required readings

Course administration and rules

Assignments

Class notes

Other materials

I. Introduction

This course provides an introduction to methods for conducting empirical research within the field of Information Science. These methods help provide objective answers to questions about the usability, effectiveness, and acceptability of systems and their impact on individuals, groups, organizations and society.

Prerequisites: IS 2000, a statistics course, and either IS 3500 or IS 4300

Textbooks: Bordens, K. and Abbott, B., Research Design and Methods, 8th edition (B&A)
Optional: Aron, Aron & Coups Statistics for Psychology, 5 th ed, 2009, Prentice Hall
Free on-line resources:
   Research Methods Knowledge Base (KB) by William M.K. Trochim, http://www.socialresearchmethods.net/kb/
   SPSS tutorial: http://www.psych.utoronto.ca/courses/c1/spss/toc.htm

Additional readings will be provided online. We will be using SPSS for data analysis. (Version 18 is provided by Northeastern)

II. Weekly Schedule of Topics and Assigned Readings
WEEK TOPICS                                                                                
Reading Assignment
1
1/11&13


2
1/18&20


Introduction to the course; The scientific method; Purposes and products of empirical research; Overview of the research process

Classification of  Empirical Research Methods
Ethics of Human Subjects Research

B&A Chapter 1; B&A Ch. 3 to p. 67; Papers by McDowell and Ybarra

B&A Ch. 4, Sample Proposal  (from Prof. Bickmore)
B&A Ch. 7, Tuskegee Case Study


Quantitative Research Methods

3
1/25&27


4
2/1&3


5
2/8
2/10

6
2/15&17


7
2/22&24


8
2/29&
3/2

9

10
3/14&16


Variables and Measures
Observational Methods


Guest Lecture: Prof Matthew Goodwin
Acquiring participants; sampling
Survey Research Methods

Sampling (cont.); Validity and Reliability
Quiz #1.

Hypothesis testing and inferential statistics: the Z test; Chi-square tests for independence; Power and effect size
Reporting research results


Experimental Research Methods
Between subjects design: t-test for independent means


Within subjects design: t-test for dependent means
Student presentations 1-  survey project

SPRING BREAK


Student presentations -- survey project.
T-tests, analysis of variance

BA Ch. 5
B&A Ch. 13; SPSS tutorial Sec. 1-3


B&A Ch 6 to 185, Ch 9


B&A Chapter 14 to 438;


Aron Ch. 4 113-124, Ch. 5 6,
Ch 13 546-554
B&A Chapter 16


B&A Chapter 10 to 303
Aron Ch. 7 to 235


B&A Chapter 10 303-317
Aron Ch. 7 from 236



B&A Ch 10 from 317, Ch 14 442-453;
Aron Ch 8 ; Ch. 9

Qualitative Research Methods

11
3/21
323

12
3/28&30


13
4/4&6


14
4/11&13


Begin Qualitative Research Methods
continue qualitative methods overview


Student presentation 2 - experiment
Exam #2


Qualitative data analysis



Case studies; Presenting results of a qualitative study

Qualitative Methods Overview



Ethnography example paper
Article on Ethnographic Interview
B&A Chapter 8 to 249

Article on Qualitative Data Analysis; Paper by Pollach


Case study example paper
15
4/18

Last class:  Student presentations 3- Qualitative research project; review for final exam

TBA
Final exam


III. Course administration and rules

There will be 4-5 individual homework assignments, and 3 hands-on team projects where students will conduct small fieldwork studies and present them to the class. The student's grade will be based on the individual homework assignments (20%), two one-hour quizzes and a final exam (40%), team projects (30%), and class attendance/participation (10%).  Students must have a passing grade in all three components of this course (homework, team projects, exams) in order to pass the course.

Academic Honesty: Work assigned to an individual or a group must be done ONLY by that individual or the people in that group.  When material is copied or derived from outside sources. those sources must be given the proper credit.  Plagiarism or cheating will result in an official University disciplinary review.

Late Homework:  Assignments will be submitted as hard copy in class, unless otherwise stated.  Homework may be submitted up to 24 hours late without penalty.  Other late homework will be penalized 10% of the maximum grade per week.

Missed exams: There are no makeup exams in this course.  An unexcused absence for an exam results in a grade of 0. If a missed exam is excused for legitimate medical or family emergency reasons, the course grade will be based on the student's other work in the course.

Some of the materials for this course (slides, assignments) were created by Prof. Tim Bickmore.

Last modified: Febrary 3, 2012