The book presents an introduction to statistical methods for students majoring in social science disciplines. No previous knowledge of statistics is assumed, and mathematical background is assumed to be minimal lowest-level high-school algebra. Enter your mobile number or email address below and we'll send you a link to download the free Kindle App. Then you can start reading Kindle books on your smartphone, tablet, or computer - no Kindle device required. To get the free app, enter your mobile phone number. It provides good examples with SPSS output.
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The book presents an introduction to statistical methods for students majoring in social science disciplines. No previous knowledge of statistics is assumed, and mathematical background is assumed to be minimal lowest-level high-school algebra.
Enter your mobile number or email address below and we'll send you a link to download the free Kindle App. Then you can start reading Kindle books on your smartphone, tablet, or computer - no Kindle device required. To get the free app, enter your mobile phone number. It provides good examples with SPSS output. By "modern", I mean that it is model rather than test oriented, that it gives heavy emphasis to confidence intervals and p-values rather than using arbitrary levels of significance, and that it eschews computational formulae.
It has met those expectations The main concepts to be understood by students are sampling distribution, confidence interval, p-value, linear regression. The book helps in this Would you like to tell us about a lower price? If you are a seller for this product, would you like to suggest updates through seller support? The book contains sufficient material for a two-semester sequence of courses.
Such sequences are commonly required of social science graduate students in sociology, political science, and psychology. Students in geography, anthropology, journalism, and speech also are sometimes required to take at least one statistics course. Read more Read less. Kindle Cloud Reader Read instantly in your browser. Customers who viewed this item also viewed. Page 1 of 1 Start over Page 1 of 1. Statistical Methods for the Social Sciences 3rd Edition.
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Review "This text is readable, understandable, and well-organized. He has been teaching statistics there for 30 years, including the development of three courses in statistical methods for social science students and three courses in categorical data analysis.
He has held visiting positions at Harvard University, Boston University, London School of Economics, and Imperial College and has taught courses or short courses for universities and companies in about 20 countries worldwide.
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There was a problem filtering reviews right now. Please try again later. Verified Purchase. I ordered a 'Like a New' book, but the shipped one is a quite old one that I can easily see in public library best book corner. Vertexes and Edges are torn They are not that much severe, but do other like-a-new books have them? The most thing that made me feel grateful was that the previous user didn't love to use pen, and was excellent in handwriting and highlighting.
However, despite all disappointment above, the shipment done in perfect schedule. A Keeper. It markets itself particularly to the social sciences, but in reality it is nothing more than an introductory statistics text.
Nonetheless, it is very clearly written and covers most of the basics you need to do any kind of research multiple regressions, ANOVA, basic t,z, and F-tests, etc. This is by no means a theoretical textbook: if you want to learn about distribution theory and the proofs behind the tests look elsewhere.
If you want a quick introduction and reference to the different methods and tests with all the assumptions and potential pitfalls then this text is perfect. This meant I was scrambling many times to get to the section the professor was actually discussing after accidentally winding up in the example instead of subsection on those small classroom desks that are already too small for just my laptop, this was extremely annoying.
The formatting is also problematic for me as a dyslexic in several ways. The information presented once you get to it is reasonably well-written but not so outstandingly better done than other textbooks that were formatted more logically to raise the rating I would give this textbook a 2 star for the formatting issues alone, the quality of the actual instruction earned it an additional star from me.
I needed this book for HW assignments for a class I am taking. Although it may be to make the material more digestible, I have to say the book does a poor job of explaining concepts and makes it more confusing without prior knowledge. Also a lot of the exercises are vague and odd imo.
One person found this helpful. Great product! This is the text book that we have in my doctoral program at the University. It is very good. If combined with the SPSS application guide, it provides great guideline for Statistics at post-graduate level. This book was required in a graduate level statistics course. I found its organization to be convoluted - the author makes multiple points that "will be addressed later" in the book, which is frustrating.
It is not easy to find information on the pages that are indexed in the back, and sometimes the homework problems don't appear to match anything covered in the chapters. The writing is dense and hard to follow. I loved my statistics courses at the undergrad level, but this book seems to be geared toward quant majors, and is not easily accessible by the rest of us.
This book has solid formulae, but Some of the exercises weren't checked for validity. I wasted an hour when a prediction equation contained a negative coefficient, when it in fact should have been positive. I hate when this happens, because students often Assume that these things are adequately proofread and mathematically sound. For the amount students are charged for academic texts such as these, this is simply unacceptable.
Also, some of the terminology in the exercises deviates from that covered in the chapters. Eg; strength in association suddenly becomes magnitude. You eventually infer these relationships, but When you're in the middle of trying to complete your homework and your constantly cycling back to the chapter in order to Verify the correct processes needed to complete the problem, the last thing you need is to have an author suddenly Deviate from the standard pardon the pun terminology.
I understand that these books take a lot of time and energy to produce, hence the significant cost, but my time is valuable as well and given this, the overall cost is not worth it for this book. See all reviews from the United States. Top international reviews. This book is poorly written, redundant and repetitive to the point of inaccessibility, and poorly made the paper is very thin and any marking with pen will bleed.
Thank you for your feedback. Sorry, we failed to record your vote. Please try again. The book took some time to arrive. Otherwise I'm very pleesed with teh deal :. You've read the top international reviews. What other items do customers buy after viewing this item? A Gentle Introduction to Stata. Alan C. Pages with related products. See and discover other items: mathematics economics , college statistics , business forecasting , business statistics , social economic , prentice hall products. There's a problem loading this menu right now.
ISBN 13: 9780130272959
View larger. The book presents an introduction to statistical methods for students majoring in social science disciplines. No previous knowledge of statistics is assumed, and mathematical background is assumed to be minimal lowest-level high-school algebra. It provides good examples with SPSS output. By "modern", I mean that it is model rather than test oriented, that it gives heavy emphasis to confidence intervals and p-values rather than using arbitrary levels of significance, and that it eschews computational formulae.
Statistical Methods for the Social Sciences, 4th Edition