Statistical Methods for Communication Science is the only statistical methods volume currently available that focuses exclusively on statistics in communication research. Writing in a straightforward, personal style, author Andrew F. Hayes offers this accessible and thorough introduction to statistical methods, starting with the fundamentals of measurement and moving on to discuss such key topics as sampling procedures, probability, reliability, hypothesis testing, simple correlation and regression, and analyses of variance and covariance. Hayes takes readers through each topic with clear explanations and illustrations. He provides a multitude of examples, all set in the context of communication research, thus engaging readers directly and helping them to see the relevance and importance of statistics to the field of communication.

Highlights of this text include:
*thorough and balanced coverage of topics;
*integration of classical methods with modern "resampling" approaches to inference;
*consideration of practical, "real world" issues;
*numerous examples and applications, all drawn from communication research;
*up-to-date information, with examples justifying use of various techniques; and
*a CD with macros, data sets, figures, and additional materials.

This unique book can be used as a stand-alone classroom text, a supplement to traditional research methods texts, or a useful reference manual. It will be invaluable to students, faculty, researchers, and practitioners in communication, and it will serve to advance the understanding and use of statistical methods throughout the discipline.

chapter 1|15 pages

Statistics and Communication Science

chapter 2|15 pages

Fundamentals of Measurement

chapter 3|14 pages


chapter 4|38 pages

Data Description and Visualization

chapter 5|20 pages

Fundamentals of Probability

chapter 6|27 pages

Assessing and Quantifying Reliability

chapter 7|28 pages

Parameter Estimation

chapter 8|25 pages

Hypothesis Testing Concepts

chapter 9|27 pages

Testing a Hypothesis About a Single Mean

chapter 10|34 pages

Comparing Two Independent Groups

chapter 11|27 pages

Some Tests for Categorical Variables

chapter 12|39 pages

Simple Linear Regression

chapter 13|56 pages

Multiple Linear Regression

chapter 14|41 pages

Single Factor Analysis of Variance

chapter 16|53 pages


chapter C|1 pages

Table of Right-Tail Critical χ2 Values