Quantitative Research (J600) gives an overview of the most common
quantitative techniques used in mass communication research.  I start the
course with a review of conceptualization, theory construction and
hypothesis formation.  Then I introduce methods of data reduction (factor
analysis and cluster analysis); analysis of contingency tables; techniques
for assessing differences (difference of proportions tests and difference
of means tests); testing for simple linear relationships (parametric and
nonparametric correlation coefficients); analyzing more complicated linear
relationships (multiple regression); and analyzing variance (simple
factorial analysis of variance).  I also devote one or two sessions to
basic experimental design.  Essentially, this is an applied statistics and
methods course taught at an intermediate level.  I assume students who
enroll have already taken an introductory class in probability and
statistics.  In addition to weekly readings and discussions, I ask
students to do several exercises; to take a midterm exam; and to write an
original research paper that uses quantitative data analysis.
Credit hours: 3
Meeting times: 1:00-2:30 p.m., MW, EP 104