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Fb2 Quantitative Data Analysis ePub

by Donald J. Treiman

Category: Schools and Teaching
Subcategory: Teaching and Education
Author: Donald J. Treiman
ISBN: 0470380039
ISBN13: 978-0470380031
Language: English
Publisher: Jossey-Bass; 1 edition (January 9, 2009)
Pages: 480
Fb2 eBook: 1941 kb
ePub eBook: 1372 kb
Digital formats: doc rtf docx azw

Quantitative Data Analysis, by Donald J. Treiman, is a well-written demonstration of how to answer questions using statistics.

Quantitative Data Analysis, by Donald J.

Each chapter includes illustrative examples and a set of exercises that allows readers to test their understanding of the topic. The book, written for graduate students in the social sciences, public health, and education, offers a practical approach to making sociological sense out of a body of quantitative data.

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Donald J. Treiman, PhD, is Distinguished Professor, Department of Sociology, University of California, Los Angeles.

Each chapter includes illustrative examples and a set of exercises that allows readers to test their understanding of the topic.

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This book is an accessible introduction to quantitative dataanalysis, concentrating on the key issues facing those new toresearch, such as how to decide which statistical procedure issuitable, and how to interpret the subsequent results. Each chapterincludes illustrative examples and a set of exercises that allowsreaders to test their understanding of the topic. The book, writtenfor graduate students in the social sciences, public health, andeducation, offers a practical approach to making sociological senseout of a body of quantitative data. The book also will be useful tomore experienced researchers who need a readily accessible handbookon quantitative methods.

The author has posted stata files, updates and data sets athis websitehttp://tinyurl.com/Treiman-stata-files-data-sets.

Comments to eBook Quantitative Data Analysis
lacki
The best statistical analysis book I have come across over the course of three separate graduate programs that required data science courses. Treiman's exhaustive archive of resources (original sample data, .log and .do files, etc.) is meticulously annotated. The prose is clear, and builds systematically topic by topic. If you plan to use Stata at all during your graduate program or academic research, this is a fantastic resource. Exceeded all of my expectations. I've recommended to several colleagues.
Gavidor
Trieman's text is probably a bit much for general user attempting to find a better grasp of quantitative research. He reviews a great deal of his own work and tends to go into a happy place that left me scratching my head from time to time. When providing introductory discussion on topics, things tend to go rather well with the clarity. However, the author just seems to abruptly cease to explain effectively and completely before sharing information on his own research.

Overall, it is not the ideal book for anyone seeking a better understanding of the concepts when you are not well versed in statistics. There are several text books that are much that offered by Corbetta or Creswell.
Mettiarrb
This is a wonderful book for quantitative data analysis. It provides a thorough review of key quantitative techniques used in social science research. Statistics books can be super complicated, but the author does a wonderful job isolating essential information necessary to use the technique. Finally, the author offers examples of how to use the technique by providing sample STATA programs employing the technique in question. This book is a must have for all social science researchers doing quantitative data analysis. I recommend it highly!
Zicelik
If you are doing research using sociological perspectives, you should read this. Very helpful statistical information is provided which cannot be seen in normal stat textbooks.
Katius
This book was hard to follow and did not much make sense.
Vit
I admit that I was attracted by the author's name at the beginning. But after taking a good look at it, I find it very useful as a reference and I have to go back to it again and again. This is a graduate level beginner's text who use Stata for their own research.
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