Ebook Statistics in Plain English, Third Edition, by Timothy C. Urdan
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Statistics in Plain English, Third Edition, by Timothy C. Urdan
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This inexpensive paperback provides a brief, simple overview of statistics to help readers gain a better understanding of how statistics work and how to interpret them correctly. Each chapter describes a different statistical technique, ranging from basic concepts like central tendency and describing distributions to more advanced concepts such as t tests, regression, repeated measures ANOVA, and factor analysis. Each chapter begins with a short description of the statistic and when it should be used. This is followed by a more in-depth explanation of how the statistic works. Finally, each chapter ends with an example of the statistic in use, and a sample of how the results of analyses using the statistic might be written up for publication. A glossary of statistical terms and symbols is also included.
New features in the third edition include:
- a new chapter on Factor and Reliability Analysis especially helpful to those who do and/or read survey research,
- new "Writing it Up" sections demonstrate how to write about and interpret statistics seen in books and journals,
- a website at http://www.psypress.com/statistics-in-plain-english with PowerPoint presentations, interactive problems (including an overview of the problem's solution for Instructors) with an IBM SPSS dataset for practice, videos of the author demonstrating how to calculate and interpret most of the statistics in the book, links to useful websites, and an author blog,
- new section on understanding the distribution of data (ch. 1) to help readers understand how to use and interpret graphs,
- many more examples, tables, and charts to help students visualize key concepts.
Statistics in Plain English, Third Edition is an ideal supplement for statistics, research methods, and/or for courses that use statistics taught at the undergraduate or graduate level, or as a reference tool for anyone interested in refreshing their memory about key statistical concepts. The research examples are from psychology, education, and other social and behavioral sciences.
- Sales Rank: #51423 in Books
- Published on: 2010-05-27
- Released on: 2010-07-05
- Original language: English
- Number of items: 1
- Dimensions: 11.00" h x .51" w x 8.50" l, 1.40 pounds
- Binding: Paperback
- 224 pages
Review
"This book will be an excellent first choice for students or researchers ‘starting the journey into the realm of statistics’ but it will be also a great second choice for the many who have found this journey too intimidating the first time they tried it." - Giorgio Bedogni, Liver Research Centre, Italy, in Journal of the Royal Statistical Society
"This book delivers on the promise of its title; it is the most clear and engaging communication of the basic principles of statistics that I have seen to date. It is a positive outlier that will greatly benefit teachers and students alike." - Andrew J. Elliot, University of Rochester, USA
"Statistics in Plain English is a gift to students, teachers, and researchers. Urdan clearly explains statistical topics using straightforward, conversational language. The book is particularly unique because it covers everything from basic statistical principles to complex multivariate techniques, all in an extremely user-friendly manner." - Eric M. Anderman, The Ohio State University, USA
"This approachable book provides an excellent introduction to statistical principles and terminology. Urdan clearly understands the bewildering experience of novices in the domain, and he smoothes the path with his clear prose and relevant examples." - Avi Kaplan, Temple University, USA
"This is by far... the best statistical "primer" on the market today and I recommend it widely to students as well as colleagues...It is affordable and compact....[it] is appropriate for students at either the undergraduate or graduate level and it is generic enough...to be useful across a variety of disciplines... His manner of explaining concepts is far superior to most textbooks on the market." – Catherine A. Roster, University of New Mexico, USA
"A well sequenced, well organized introduction to quantitative data analysis that does not rely on cookbook mathematics and equation-heavy presentations of statistical concepts, but instead focuses on conceptually oriented textual descriptions." - Jenefer Husman, Arizona State University, USA
About the Author
Timothy C. Urdan is a Professor in the Department of Psychology at Santa Clara University. He received his Ph.D. in Education and Psychology from the University of Michigan in 1994 where he received several honors awards including the School of Education Merit Award, the Horace H. Rackham Predoctoral Fellowship, and the Burke Aaron Hinsdale Scholar in 1995. Since 2001, he has served on the editorial board for Contemporary Educational Psychology and the Journal of Educational Psychology. Dr. Urdan is the co-editor of two book series, one on Adolescence and Education and the other on Motivation and Achievement and of the forthcoming Educational Psychology Handbook.
Most helpful customer reviews
80 of 83 people found the following review helpful.
Excellent overview
By Epidemiology student
I had been looking for a basic text in biostatistics which explained clearly the conceptual framework of the topic. I wanted the math to be a secondary component, and not the primary method of teaching. I bought 5 or so introductory texts in order to find this one. This is one of the best teaching texts I have ever used, period. But to stay on topic, I will only say this: if you want a great introductory text on statistics, and you want to understand what your computer is calculating for you, read every page of this book. The other good news, is that it is very well written, and you could finish the book in just a few sessions.
42 of 43 people found the following review helpful.
Worthy of its Title
By Tyler T. Vidricksen
Desperate for a description of regression that was "in plain English" (see what I did there with that pun?), I picked this book up. Man... I wish I had this book for my first quarter of statistics course. You'll find all sorts of no nonsense descriptions of statistical methods. My favorite part of this book is how it refers you to previous chapters when it occasionally does drop technical language from statistics (in case you forgot). This feature makes the book an excellent reference material. I suggest you drop the extra money and get this book (along with the book your school requires you to buy with your statistics course). It will save you lots of headaches and time. It is well worth your money.
55 of 59 people found the following review helpful.
Great approach, but too many errors
By Todd
A very helpful primer/intro to statistics. Generally well-written and intuitively presented. It succeeds where most introductory texts fail: the author has a genuine understanding of how and in what way statistics are simply not intuitive to the average individual. He keeps the math and greek symbols to a minimum, focusing on simple illustrative examples that help build intuition.
So why the average review? I'd really like to give this book a higher grade. The problem is there are too many errors and inconsistencies that make reading it a frustrating experience. It strikes me as a book that was written by someone who is knowledgeable and passionate about the subject and was able to devote a huge amount of time towards the project. But then, having gotten 97% of the way there, the editing and proofing process was not given the same attention to detail.
I read the Kindle version of the 3rd edition which doesn't include page numbers, so unfortunately my examples below refer to locations. (Incidentally, as with many Kindle editions, there is a very large number of additional formatting issues and typos that further distracted from the reading experience. My opinion is that responsibility for this type of problem is shared between the publisher, the author, and Amazon. Examples below are of problems that I assume exist in both the Kindle and traditional versions.)
Chapter 4, location ~1131:
"A full 50% of the distribution falls between the mean and 1 standard deviation above the mean in this group of scores (see Figure 4.4)"
-> Figure 4.4 doesn't show this
Chapter 5, location ~1233:
"If I told you that I had a z score of 1.0 on my last spelling test, what would you think of my performance? What you would know for sure is that..., (3) if the scores in the distribution were normally distributed, my score was better than about two thirds of the scores in the distribution."
-> Wouldn't it be better than about 84% of the distribution?
Chapter 5, location ~1313:
"A score of 425 on the SAT-math test marks the 18.14th percentile of the distribution of test scores... (see Figure 5.3)"
-> Figure 5.3 shows slightly different values
Chapter 6, location ~1482:
"The scores for each student are presented in Table 6.1, arranged in descending order..."
-> It's in ascending order
I could go on. Some issues are minor, some aren't, but they're always distracting.
I wrote the author to ask if he had created, or was aware of, an errata resource for the book. Within a couple of hours, he wrote back to ask which version I was reading. I immediately responded back to him with the info, but didn't hear back from him again (it's now been 14 days, as of the writing of this review).
With corrections (or at least an online errata page) and more consistency with the examples and illustrations, this book would be an easy 4 and likely a 5. Despite these current shortcomings, it's still a good, easily digestible intro to statistics that is very helpful in developing intuition with fundamental concepts.
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