Phone: (970) 491-2077
Office: 360SE Aylesworth Hall
Office Hours: by appointment
Department: Journalism & Media Communication
Craig Trumbo is a Professor in the Department of Journalism and Media Communication at Colorado State University (BA 1984, MS 1993 Iowa State University; PhD 1997 University of Wisconsin-Madison). He also holds appointments in the Colorado School of Public Health, and the School of Global Environmental Sustainability. His research addresses a range of interests involving health, risk and the environment, with contextual foci in natural and anthropogenic disasters, health behavior. His areas of university teaching experience include mass media effects, mass and interpersonal communication theory, research methods, communication of science and technology, risk communication, quantitative analysis (social statistics and biostatistcs).
Please see current CV
PBHL560 – Quantitative Methods in Public Health
This course is designed to provide an introduction to statistics and a basic understanding of data analysis in public health. The material is focused at a level appropriate for students without any background in statistics or with limited or dated previous coursework. In this course, the students develop statistical literacy, so as to understand study design and analytic methods commonly used in public health. Students will learn basic descriptive and graphical statistics, data summarizations, and inferential statistics. Example topics include: making and interpreting histograms and scatter plots, means, standard deviations and proportions, confidence intervals, p-values, t-tests, hypothesis formulation and testing, and simple linear regression, as well as overviews of logistic regression and survival analysis.
JTC270 – Quantitative Analysis in Journalism and Media
The course is based on three objectives. First, students will acquire an understanding of the fundamental concepts in basic statistics, especially approaches to data acquisition, sampling, data description, data visualization, estimation, and the testing of differences and associations. This objective will be met through lectures, demonstrations, and hands-on exercises using computational software rather than hand calculation. Second, students will gain a contextualizing perspective on the way that quantitative thinking and statistical analyses are used in the various domains of their professional practice. will especially emphasize the use of statistical analysis in public relations work (e.g., campaign planning and evaluation) and in journalistic reporting (e.g., in health and politics). Third, students will learn how to integrate these skills and contextual insights into their own work.