Statistical Methods for Communication Science

Statistical Methods for Communication Science
Author :
Publisher : Routledge
Total Pages : 712
Release :
ISBN-10 : 9781135250898
ISBN-13 : 1135250898
Rating : 4/5 (898 Downloads)

Book Synopsis Statistical Methods for Communication Science by : Andrew F. Hayes

Download or read book Statistical Methods for Communication Science written by Andrew F. Hayes and published by Routledge. This book was released on 2020-10-14 with total page 712 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 *downloadable resources 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.


Statistical Methods for Communication Science Related Books

Statistical Methods for Communication Science
Language: en
Pages: 712
Authors: Andrew F. Hayes
Categories: Language Arts & Disciplines
Type: BOOK - Published: 2020-10-14 - Publisher: Routledge

DOWNLOAD EBOOK

Statistical Methods for Communication Science is the only statistical methods volume currently available that focuses exclusively on statistics in communication
Statistical Methods for Communication Researchers and Professionals
Language: en
Pages: 0
Authors: René Weber
Categories: Communication
Type: BOOK - Published: 2013-01-03 - Publisher: Kendall/Hunt Publishing Company

DOWNLOAD EBOOK

Understanding statistical methods provides us with an efficient way to explore, analyse and interpret data, as well as evaluate the strength of evidence present
Research and Statistical Methods in Communication Sciences and Disorders
Language: en
Pages: 816
Authors: David L. Maxwell
Categories: Language Arts & Disciplines
Type: BOOK - Published: 2006 - Publisher: Singular

DOWNLOAD EBOOK

This engaging new book provides comprehensive coverage of research methods as well as a foundation in statistical analysis vital for individuals in the communic
The SAGE Sourcebook of Advanced Data Analysis Methods for Communication Research
Language: en
Pages: 401
Authors: Andrew F. Hayes
Categories: Language Arts & Disciplines
Type: BOOK - Published: 2008 - Publisher: SAGE

DOWNLOAD EBOOK

A must-have volume for every communication researcher's library, The SAGE Sourcebook of Advanced Data Analysis Methods for Communication Research provides an in
Statistical Methods for Speech Recognition
Language: en
Pages: 307
Authors: Frederick Jelinek
Categories: Language Arts & Disciplines
Type: BOOK - Published: 2022-11-01 - Publisher: MIT Press

DOWNLOAD EBOOK

This book reflects decades of important research on the mathematical foundations of speech recognition. It focuses on underlying statistical techniques such as