The Content Analysis Guidebook
The Content Analysis Guidebook Books
Product Description
Content analysis is one of the most vital but complex research methodologies in the social sciences. In The Content Analysis Guidebook author Kimberly Neuendorf provides an accessible core text for upper-level undergraduates and graduate students across the social sciences. Comprising step-by-step instructions and matter-of-fact advice, this text unravels the complicated aspects of content analysis.
The Content Analysis Guidebook provides readers:
- Numerous examples from across the social sciences
- Sidebars that describe innovative and wide-ranging content analysis projects, from both academia and commercial research
- Pedagogical tools in an simple to know format
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This is one more of those books written by college professors that was done so more for the purpose of showing off to the author’s colleagues than to be helpful to students. It’s very esoteric.(To have 25 years of experience in content analysis does
not entail being able to get the thought across.) The book, as a whole, lacks clarity and concision. The definitions, often, control words more trying and abstract than the word being defined. The author’s definition of content analysis lonely has
55 words! Berelson’s definition, found on the same page, has only
19 and it is much clearer. This is the kind of book that, even
if you’re fanatic about content analysis, you end up by reading
chapter one entirely, leafing through chapter two, and then finally putting it aside, criticizing yourself for having bought
a pig in a poke that cost a lot.
Rating: 1 / 5
Neuendorf has become a chief in her chosen field, content analysis, and that’s worthy of respect. Here she has made what is probably the most matter-of-fact and current guidebook for students and researchers undertaking this type of research methodology. But, this is frequently academic over-explanation from a practitioner who report has it that yearns for their methods to be taken sincerely by other professors in more structured fields. Hence, relatively undemanding methods of collecting data and writing are transformed into an over-elaborated “science” with strenuous categorizations and hierarchies of methodology.
There is earn to Neuendorf’s claims that content analysis is more complicated than many people reckon. But much of this book’s bulk is not dedicated to exploring the intricacies of the discipline, because such intricacy frequently doesn’t exist. Instead, much space is given over to statistics, which is not part of the discipline but a tool to use with it (though I will admit that this book accidentally offers a helpful refresher on basic stats). Then there is the fatuous academic writing, in which one is required to pile on fleeting examples of obscure dissertations in which the various methods may have been used, and to trot out corroborating quotes every time any sort of informative statement is made. For example, in introducing the concept of measurement, Neuendorf took the time to track down the following gem of a quote by another academic from 1951: “Measurement is the assignment of numerals to objects or events according to rules.” Wow, I wouldn’t have believed something so evident if Neuendorf had simply said it herself. Though this does offer her the opportunity to add the volume in which that quote originated to this book’s overflowing 35-page bibliography, proving once again that in academia, it’s less vital to say something yourself than to find a few hundred people who said something similar in the past.
This book was report has it that made for an academic audience of a few professors who would have then congratulated Neuendorf for properly following the accepted methods, which is more vital than making insightful points to the interested student or general reader. Admittedly, this book will be helpful as a reference work that you can consult periodically for specific tidbits on research methodology. But that’s only if you need to write something that will only be worthwhile for your professor, instead of yourself or anyone that you hope to truly enlighten with your research. [~doomsdayer520~]
Rating: 2 / 5
This book was very helpful to me getting a jump start on content analysis. It has all the basic concepts and is wonderfully concise and clear.
Rating: 5 / 5
Finally, a book comes by the side of that makes the method of Content Analysis clear! The book fully clarifies the purposes and methods of Content Analysis, and in a simple and friendly manner. When I started reading through this text, I knew very small about Content Analysis, but upon completion of the text, I know that I can question any content I desire. This book makes it clear that Content Analysis knows no boundaries. One can question anything from films to music, or from literatture to billboards. This book not only can inspire the reader to try his or her own Content Analysis study, but it gives he or she all the tools that needed to result in the analysis to a nourishing conclusion.
And, for those out there, like me, who are intimidated by statistics and the analysis of these numbers, this book clarifies the statistics in an effective and (thankfully) simple-to-follow manner. For instance, I now really know what Scott’s Pi is telling me, as well as Cohen’s Kappa, and that’s just the tip of the iceberg. Thank you for finally writing a methods book that does not overwhelm the reader and thank you for the helpful website that accompanies the book, for it is a wonderful online companion to the text.
Rating: 5 / 5
As a graduate student, I was searching for just the aptly methodology to analize an amorphous quantity of text. A colleague turned me on to content analysis. I investigated several “expert” texts by Krippendorf et al. and near lost my mind sorting through a maze of theory and chat. After an internet search I located Neuendorf’s Content Analysis Guidebook. Simply place, this book was an resolution to my prayers! Neuendorf writes in a style that is very friendly to the average reader. It is complex enough to stimulate inquiry yet simple enough not to have to read the same chapter ten times! Neuendorf presents readers with a right “guidebook”; a map to not only understanding the history and value of content analysis, but several different paths to acheiving a particular research objective. I see this book as a fantastic tool for undergraduate and graduate students as well as those who have a need or desire to conduct content analysis research. Thank you Kim Neuendorf….GREAT BOOK!!!
Rating: 5 / 5