J600 | 6604 | Beam

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