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Statistical Methods For Communication Science

Statistical Methods For Communication Science - Free Ebook Download

Book Detail

Author/Editor(s): Andrew F. Hayes
Publication Date: May 25, 2005
ISBN-10: 0805854878
ISBN-13: 978-0805854879
Language: English
Edition: n/a
Publisher: Routledge
Size: 4.47 MB
Format: pdf

Book Description

Statistical Methods for Communication Science focuses on statistics as used and applied 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.

About the Author

Andrew F. Hayes (Ph.D., Cornell University, 1996; B.A. San Jose State University, 1991) is Professor of Quantitative Psychology at The Ohio State University. His work on statistical methods, including moderation and mediation analysis, has been published in such journals as Psychological Methods, Behavior Research Methods, Multivariate Behavioral Research, Psychological Science, and the Journal of Educational and Behavioral Statistics, as well as in various edited books. He is the author of "Introduction to Mediation, Moderation, and Conditional Process Analysis" (The Guilford Press) and "Statistical Methods for Communication Science" (Routledge). His next book, "Regression and Linear Models" (co-authored with Richard Darlington and being published by The Guilford Press), is due out in the summer of 2016.

Reviews

...this book will be of interest to readers interested in informed, opinionated work dealing with alternative, presently unconventional procedures to analyze data. It raises some interesting and thorny issues about 'better' ways to analyze data and provides direction for learning more about bootstrapping and resampling alternative data analysis procedures.

--PsycCRITIQUES

This text is written in a clear, straightforward manner. It presents a wide range of important statistical topics in a no-nonsense, easy-to-follow format....contains a substantial amount of useful information....the book is an excellent reference text and would serve any applied researcher very well.

--The American Statistician

The writing is superb--it takes on a conversational tone while not 'dumbing down' the material whatsoever. It was refreshing to read--I felt as though I was talking with the author and he was leading me through the concepts. While thebook does a wonderful job of presenting conceptual underpinnings of statistical analyses, it simultaneously addresses the 'down and dirty' types of questions that researchers encounter all the time. I realize that my review is almost nothing but praise, but I honestly believe that this is a first-rate book.

--Mary Beth Oliver, Penn State University

I believe this textbook has the potential to greatly advance how communication scholars use statistics....Stats can be extremely intimidating and Dr. Hayes has done a remarkable job of decreasing the scariness of stats...I believe that this volume will greatly benefit communication scholars and the discipline.

--David Roskos-Ewoldsen, University of Alabama
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