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. Statistical Methods for Communication Researchers
and Professionals: 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!
General
| Imprint: |
Kendall/Hunt Publishing Co ,U.S.
|
| Country of origin: |
United States |
| Release date: |
2013 |
| Authors: |
Rene Weber
• Ryan Fuller
|
| Dimensions: |
272 x 201 x 15mm (L x W x T) |
| Format: |
Paperback
|
| Pages: |
320 |
| ISBN-13: |
978-1-4652-1223-8 |
| Categories: |
Books
|
| LSN: |
1-4652-1223-X |
| Barcode: |
9781465212238 |
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