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JOMC 201
Mass Communication Research Methods
(Fall 2002)

Instructor: Philip Meyer, 380 Carroll Hall, 962-4085 (office) 906-3425 (mobile) 933-0605 (home),philip_meyer@unc.edu
Assistants: Koang-Hub (Joseph) Kim, Research Center; Minjeong Kim and Chris Richter, 385 Carroll Hall, 843-5860
Secretary: Nancy Pawlow, 377 Carroll Hall
Office hours: By appointment; walk-ins welcome

Goals: While you have come to graduate school for many different reasons, chances are that we all share at least one goal: to improve our ability to discover and impart the truth. Scientific method is a time-tested method for discovering truth in spite of our all-too-human tendencies toward perceptual distortion and wishful thinking. If your career aims include reporting, teaching, advertising or public relations, you'll find an application here.

Procedures: This course is hands-on. Please be sure that you are also enrolled in one of the Friday computer lab sessions (at 9 and 10 a.m.).  You can also buy SPSS for your home computer from the Ram Shop in Student Stores at a steep discount ($200 for the Grad Pack) or a limited student version ($72). Cheaper still is SPSS for Students, which is just like the $200 version except that it costs $37 and locks itself up when the semester is over.  It comes in Windows and Mac versions.  I recommend the Grad Pack as a terrific long-term investment.

Grades: We use H, P and L instead of the A-F range as a way of reducing grade anxiety. H (for high) is for the rare case when class work is at a professional level demonstrating that you are ready for academic publishing. P (for pass) indicates fully satisfactory performance. L (for low pass) is a warning signal. An L in this course dooms you to repeat it.  Too many Ls takes you out of the program. If you are in danger of getting one, you'll know it.

Grade calculation: 

                            Computer lab work      25%         Current
                           Mid-term exam            20%          class
                       Research paper             35%          grades.
                           Final exam                   20%

Research question: The course will be organized around the following research question: is quality journalism a cost or a benefit to investors in media companies? A list of  possible research papers has been compiled, but you are not confined to that list. Fresh ideas in this area are sorely needed. As we discuss the various research methodologies, we'll talk at the same time about how they can be applied to this central question. For an outline of a typical research paper, click here.

 Deborah Potter has modifed our list for televsion. Please click here to see Potter's list.

Required Texts:  Three are in the bookstore, one is available online only.

          Philip Meyer, Precision Journalism, 4th Edition. A previous edition is downloadable from this website.

         Earl Babbie, Fred Halley and Jeane Zaino, Adventures in Social Research: Data Analysis Using SPSS for Windows 95/98. This is a generic methods text.  I like it for its readability and generous use of examples.  The disk that comes with it contains a subset of the 1998 General Social Survey, done with personal interviews of a representative sample of Americans in April of that year.  Save the disk for your own computer.  If you get a used copy without a disk, don't worry.  The data are on the J-School network and you can make your own copy.

          Neil J. Salkind, Statistics for People Who (Think They) Hate Statistics.  SPSS also figures prominently in this book.  Appendix A is a quick and easy introduction to the computer tools we'll be using.  Sometimes a statistical issue that is hard to understand from one author's point of view gets easier when you see another presentation.

        Codebook of the General Social Survey. http://www.icpsr.umich.edu/gss/
When you get down to writing reports from the GSS data, you'll need details such as the exact wording of the questions. This web site provides them.

              Other useful books:  The first on this list was written explicitly for journalists and might be helpful at clarifying concepts or in convincing yourself that the content of this course is relevant to journalism.  The second is the world's best how-to guide to doing your own poll.  And the others are listed just because I thought you might like them.

        Victor Cohn, News and Numbers: A Guide to Reporting Statistical Claims and Controversies in Health and Related Fields. 1989.

          Don A. Dillman, Mail and Internet Surveys: The Tailored Design Method, 2d edition, 2000.

            David Boyle, The Sum of Our Discontent: Why Numbers Make Us Irrational.  One of the hazards of this course is that getting numbers out of a computer is so easy and fun that it can cause delusions of supernormal power.  When that starts to happen to you, read in this book until the feeling goes away.

          Gary King, Robert O. Keohane, Sidney Verba: Designing Social Inquiry: Scientific Inference in Qualitative Research, Princeton University Press, 1994. Qualitative methods from a post-positivist point of view. 

          James Franklin: The Science of Conjecture: Evidence and Probability before Pascal, Johns Hopkins University Press, 2001. A fun read if you become interested in the historical origins of scientific method.

Live Poll: This is our way of convincing you that research data do not come from the stork. Each of you will serve for one evening as an interviewer for our semi-annual telephone poll of North Carolina. 

Special supplies: Bring a 3½-inch IBM formatted floppy disk to the lab sessions so that you can save your work and modify it elsewhere. It�s a good idea (but not required) to bring a pocket calculator to the lectures. It should be a scientific calculator, not a four-banger.  Anything in the TI-30 series is fine (about $15). 


 


 

Date

Advance reading
Topic of the day
Friday computer labs
Wednesday
Aug. 21
 
Quality journalism: does it matter? Introduction to the research question.
Introduction to the lab: Excel and SPSS
Monday
Aug. 26
Babbie, 1-2

Meyer,  1

Harris speech

From theory to concept to operation. The model.
Learning to love lower profits
 
Wednesday
Aug. 28
Babbie 3

Meyer, Chapter 2

The logic of measurement
Monday
Sept. 2
LABOR DAY � NO CLASSES
 
 
Wednesday
Sept. 4
Babbie 4, 5

Meyer 4

Knight & Putnam communities

Getting to know the two important data sets: Knight Foundation's 26 communities and the GSS.
Lab exercise 5.1
Monday
Sept. 11
Babbie 6

Meyer 3

Describing data
 
Wednesday
Sept. 12
Babbie 7, 8
Graphing data and crosstabs
Lab exercise 6.1, 7.1
Monday
Sept. 16
 
Guest lecture: historiography:
Donald Shaw
 
Wednesday
Sept. 18
 
Guest lecture: war and rhetoric, Cori Dauber
Lab exercises, 8.1

Turn in your project time line (Friday)

Monday
Sept. 23
Meyer, 6
Crosstabs
Wednesday
Sept. 25
Babbie 9, 10
Composite measures
Lab exercise 9.1
Monday
Sept. 30
Babbie 11-13
Bivariate analysis and measures of association
 
Wednesday
Oct. 2
Babbie 14
Continuous variables
Monday
Oct. 7
Babbie 15
Sampling theory and survey research
 
Wednesday
Oct. 9
 
Sampling special populations
Review for mid-term
Monday
Oct. 14
Meyer 5, 7
Mid-term exam
 
Wednesday
Oct. 16
 
The art of writing survey questions
No lab this week (Fall Break)
Monday
Oct. 21
Babbie 17
The great cookie test
Wednesday
Oct. 23
 
Cookie test continued
Analysis of cookie results
Monday
Oct. 28
Carolina Poll this week!
Meyer 11
Qualitative methods: Patricia Curtin, guest
 
Wednesday
Oct. 30
Meyer 8
Multiple regression
Cookie plots; the aggregate function
SAT revisited
Monday
Nov. 4
 
Regression review
 
Wednesday
Nov. 6
Meyer 9
Experiments. Campbell's demons.
KF data exercise
Monday
Nov. 11
Meyer 10
Reliability: how to calculate Scott's pi.
Wednesday
Nov. 13
 
Sampling difficult populations
Review in lab, but no weekend assignment. Polish those law papers! Scott's pi engine demonstrated.
Monday
Nov. 18
 
Review of qualitative methods
 
Wednesday
Nov. 20
Salkind 15

Handout

Weird science: factor analysis and logistic regression
One-way ANOVA; Bonferonni correction and Tukey's HSD; Review
Monday
Nov. 25
 
Making causal inferences
 
Wednesday
Nov. 27
Groups:
2-Readabilty
7-Content depth
8-9/11 response
Thanksgiving: no lab
Monday
Dec. 2
 
Groups:
1-Edit accuracy
3-Tone
4-Civic journ.
 
Wednesday
Dec. 4
Handouts on diversity, dissimilarity and Gini
Groups:
5-Edit consist.
6-Cont. breadth
9-Community
Term papers due
 
Friday
Dec. 6
 
Noon: Final exam


 

Honor code

As a student at this university, you have accepted a commitment to the Honor Code and the Campus Code, and the principles of academic integrity, personal honesty, and responsible citizenship on which they were founded more than 100 years ago. As a faculty member of this university, I am responsible for its enforcement. As an alumnus, I am emotionally committed to it. Please join me in supporting the Honor Code by signing the Pledge on all written work and consulting me if you are uncertain about your responsibilities within this specific course.

Lab work will sometimes be done within groups and there is no limit on sharing information within your group. However, when an exam is held in the lab, your work must be your own, and no sharing is permitted.

All exams in this course will be open book, open notes, open computer.