Statistical Methods for Communication Science

ISBN-13: 9781138982932 / Angielski / Miękka / 2015 / 536 str.

Andrew F. Hayes;¬Abar;¬Abar

Opis

Statistical Methods for Communication Science is the only statistical methods volume currently available that focuses exclusively on statistics in communication research.

Recenzje

"...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 the book 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

Spis treści

Contents: 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.

O autorze

Andrew F. Hayes (Author)