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Statistical Methods for Communication Science

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ISBN-10: 0805854878

ISBN-13: 9780805854879

Edition: 2005

Authors: Andrew F. Hayes

List price: $145.00
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Description:

Statistical Methods for Communication Scienceis 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…    
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Book details

List price: $145.00
Copyright year: 2005
Publisher: Routledge
Publication date: 5/25/2005
Binding: Hardcover
Pages: 536
Size: 7.17" wide x 10.28" long x 1.30" tall
Weight: 2.530
Language: English

Andrew Hayes (Ph.D., Cornell University; B.A., San Jose State University) holds joint appointments in Communication and Psychology at The Ohio State University. His training is in quantitative psychology and his specialties are research methodology, psychometrics, data analysis, and the application of psy�chological knowledge and theory to communication processes.� He has published in the statistical meth�odology, social psychology, and public opinion literatures and is author of the forthcoming book Statisti�cal Methods for Communication Science (LEA).

Preface
Statistics and Communication Science
Fundamentals of Measurement
Sampling
Data Description and Visualization
Fundamentals of Probability
Assessing and Quantifying Reliability
Parameter Estimation
Hypothesis Testing Concepts
Testing a Hypothesis About a Single Mean
Comparing Two Independent Groups
Some Tests for Categorical Variables
Simple Linear Regression
Multiple Linear Regression
Single Factor Analysis of Variance
Analysis of Covariance: ANOVA With Statistical Controls
Interaction
Appendices