Every day we are inundated with information in our professional as well as personal lives...
We simply cannot attend to everything, and need help in separating out and evaluating claims. Understanding statistical methods provides us with an efficient way to explore, analyze and interpret data, as well as evaluate the strength of evidence presented in support of or opposition to claims.
Statistical Methods for Communication Researchers and Professionals
helps the reader develop the statistical competency necessary to become good researchers and good "statistical citizens" in the information age.
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Provides an overview of statistical methods in the context of communication research and practice.
Prepares the reader for careers such as research scientists, professional communicators, or anyone that is responsible for describing, evaluating, and interpreting data they confront daily in their professions.
Draws on a range of recently published examples in different arenas in communication.
Addresses three primary goals of statistical methods:
The design of samples, including those based on probability and non- probability procedures.
Describing, exploring, and summarizing data in samples or non- samples.
Making predictions and generalizations from a sample to the population we are interested in, or testing assumptions in populations with data in samples.
Includes access to an actively-maintained website with additional information. Features include datasets, additional examples and problems, errata, links to other statistics sources, course materials, and more!