9781412927901-1412927900-The SAGE Sourcebook of Advanced Data Analysis Methods for Communication Research

The SAGE Sourcebook of Advanced Data Analysis Methods for Communication Research

ISBN-13: 9781412927901
ISBN-10: 1412927900
Edition: 1
Author: Andrew F. Hayes, Michael Slater, Leslie Snyder
Publication date: 2007
Publisher: SAGE Publications, Inc
Format: Hardcover 400 pages
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Book details

ISBN-13: 9781412927901
ISBN-10: 1412927900
Edition: 1
Author: Andrew F. Hayes, Michael Slater, Leslie Snyder
Publication date: 2007
Publisher: SAGE Publications, Inc
Format: Hardcover 400 pages

Summary

The SAGE Sourcebook of Advanced Data Analysis Methods for Communication Research (ISBN-13: 9781412927901 and ISBN-10: 1412927900), written by authors Andrew F. Hayes, Michael Slater, Leslie Snyder, was published by SAGE Publications, Inc in 2007. With an overall rating of 3.9 stars, it's a notable title among other Communications (Business Skills, Communication, Words, Language & Grammar , Clinical Psychology, Psychology, Communication & Media Studies, Social Sciences, Research) books. You can easily purchase or rent The SAGE Sourcebook of Advanced Data Analysis Methods for Communication Research (Hardcover) from BooksRun, along with many other new and used Communications books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

A must-have volume for every communication researcher′s library, The SAGE Sourcebook of Advanced Data Analysis Methods for Communication Research provides an introductory treatment of various advanced statistical methods applied to research in the field of communication. Written by authors who use these methods in their own research, each chapter gives a non-technical overview of what the method is and how it can be used to answer communication-related questions or aide the researcher dealing with difficult data problems. Students and faculty interested in diving into a new statistical topic―such as latent growth modeling, multilevel modeling, propensity scoring, or time series analysis―will find each chapter an excellent springboard for acquiring the background needed to jump into more advanced, technical readings.

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