SCHOOL OF COMMUNICATION

CMNS 260-3

Dr. Bill Richards                                                                                                                                                   Spring 2005

RCB 6236; 604-291-4119                                                                                                                                                Burnaby Day

Email: richards@sfsu.ca

EMPIRICAL METHODS FOR COMMUNICATION RESEARCH

Prerequisites:  CMNS 110 or 130.

 

Research begins with a question.  How many of these are also those?  Why do so many of those end up in these circumstances?  How often does this happen?  This course is about research – the process of asking questions about the world around you, and getting answers to those questions.  In particular, it is about empirical research – research in which the questions are about things that exist or happen, questions about people or events or circumstances in the world that do or do not happen – and in which the answers are obtained by somehow observing things in the world.

 

Week                                     Topic

1. Scientific vs. non-scientific enquiry. Paradigms, theory, explanation,

    research. Conceptualizing: concepts & variables. Ch 1,2, pp 171-172.

2. Research quesetions. Operationalizing research. Measurement. Four kinds of

   numbers. Categorical vs. continuous. Levels of scaling. Ch 3, pp 175-180.

   Validity and reliability. Ch 4.

3. Sampling: non-probability and probability sampling. Ch 5, pp 173-175.

   Univariate descriptive statistics. Central tendency: mode, median, mean.

   Dispersion: range, IQR. Variance, standard deviation. The computational

   Method. Z-score. Ch 6.

4. Distributions. The normal distribution, areas under the normal curve. Ch 7.

   The normal curve anad sampling distributions, standard errors. Ch 8.

5. Inferential statistics, standard error of the mean, Ch 9. Confidence intervals,

   S-test of a single mean. Ch 10.

6. Tuesday – review, prepare for the exam. Thursday – Midterm exam #1.

7. Review of the midterm exam Bivariate descriptive statistics:

   cross-tabulation, discrete relationships. Ch 11.

8. Continuous relationships: covariance, correlation, regression. Ch 13, 14.

9. Inferential statistics: statistical significance – sampling variability – or not? The null hypothesis. Testing the null

   hypothesis. Chi-squared. Ch 15, 16.

10.Tuesday – review, prepare for the exam. Thursday – midterm exam #2.

11.Z-tests for difference between means, t-test for difference between means. Ch 17.

12.t-test for difference between means, ANOVA. Ch 19. Experiments. Ch 20.

13.Survey research. Ch 21. Review and prepare for final exam.

 

Required Text:

 

William D. Richards, The Zen of Empirical Research. Vancouver: Empirical Press, 2002.

 

Grading:

 

                - Mid-term exam #1                              week 6                                    12%

                - Mid-term exam #2                              week 10                                  21%

                - Final exam:                                          final exam period                  35%

                - Assignments                                                                                      22%

                - Tutorial attendance and participation                                            10%

 

The School expects that the grades awarded in this course will ear some reasonable relation to established university-wide practices with respect to both levels and distribution of grades. In addition, the School will follow Policy T10.02 with respect to “Intellectual Honesty” and “Academic Discipline” (see the current Calendar, General Regulations section).

 

Cell phones:  No cell phones permitted in lectures or exams.  Turn them off!