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by James P Stevens,Keenan A. Pituch,Tiffany A. Whittaker,James P. Stevens
Download Intermediate Statistics: A Modern Approach, 2nd Edition fb2
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    James P Stevens,Keenan A. Pituch,Tiffany A. Whittaker,James P. Stevens
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    Routledge; 2 edition (July 3, 1999)
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    440 pages
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by Keenan A. Pituch (Author), Tiffany A. Whittaker (Author), James P. Stevens (Author) & 0 more .

by Keenan A. The illustrations and screen dumps are a strong feature. Dale E. Berger, PhD, Dept. of Psychology, Claremont Graduate University.

James Stevens’ best-selling text, Intermediate Statistics, is written for those who use, rather than develop, statistical techniques. Dr. Stevens focuses on a conceptual understanding of the material rather than on proving the results. SAS and SPSS are an integral part of each chapter. Definitional formulas are used on small data sets to provide conceptual insight into what is being measured. James Stevens’ best-selling text, Intermediate Statistics, is written for those who use, rather than develop, statistical techniques.

The author's presentation style is very readable and easy to follow.

James P Stevens (Author), Keenan A. Stevens (Author). We don't know when or if this item will be back in stock. Publication Date: July 1, 1999. First published in 1999. Routledge is an imprint of Taylor & Francis, an informa company.

Items related to Intermediate Statistics: A Modern Approach, Third . Power analysis is an integral part of the book. A computer example of real data integrates many of the concepts.

ISBN 13: 9780805854657.

Home Browse Books Book details, Intermediate Statistics: A Modern Approach. Following the format of his very successful book, Applied Multivariate Statistics for the Social Sciences, Jim Stevens fully integrates the two major statistical packages, SAS and SPSS, in this text. Intermediate Statistics: A Modern Approach. In addition, there are substantial chapters on covariance and repeated measures analysis.

James P Stevens, Stevens David, Keenan A Pituch. Every textbook comes with a 21-day "Any Reason" guarantee. Published by Routledge.

Keenan A. Pituch, James P. Stevens.

James Stevens' best-selling text is written for those who use, rather than develop, statistical techniques. Pituch, Tiffany A. Whittaker, James P. This study examined the interaction effects of two stress management strategies, directed lecture discussion versus self-directed, and the locus of control of teachers. Eighty-five teachers were pre. More)

Keenan A. 2. View via Publisher. More). Applied Multivariate Statistics for the Social Sciences.

First published in 1999. Routledge is an imprint of Taylor & Francis, an informa company.

I bought this book because it's the required text for a statistics course I am taking. The experience has been well below expectations. I list the reasons below.

(1) Typographical Errors

The biggest reason. A lot of typos. Beginning each chapter, the instructor has to hand out the list of errata, which number up to ten per given chapter. These are not your harmless "comput this eaxmple"'s. There are more formulae that are incorrectly typed than those that are not. Some typos are obvious, such as missing parentheses or h's for b's and so on. Others are not so obvious, such as '-' instead of '+' and the like. If you didn't have an instructor, your equations would be wrong, and you would never know it. How is this book in its third edition? What was the first edition like?

(2) Poor Kindle Implementation

No reference to the paperback pagination in the Kindle version, when the intratext reference system still depends on the paperback pagination. You have to infer. Also, in-text tables and figures are missing. Instead of them, you get placeholders that say "place figure X from the previous edition here". Someone didn't do one's job. Also, the appended tables are of rasterized image format. For those of you who aren't familiar with raster graphics, what it means is that they took pictures of the tables instead of typing them in. Poor resolution, and also makes for poor viewing experience.

(3) The Text

Yes, you look past the wrinkles and the blemishes. You say, "I don't care how you look honey, I just care about your soul." But turns out the manuscript itself is poorly written. Concepts are referred to, before they are introduced in the subsequent chapters. Explanations are wanting, and when they are not, you realize the shoddy paragraph you had just struggled through could have been summarized in one or two sentences.

What contributes to this flaw is that the author is not clear about whom his audience is. If you have to be taught what a t-test is or how to interpret an interaction effect in a factorial ANOVA, you are most clearly not an intermediate statistician. But the text assumes some knowledge. Some of these assumptions are reasonable. Others are not. What you get is a deluge of inconsistency in the depth of exposition. A lot of words spent on inessential topics, while glossing over the core ones.

(4) The Bottom Line

Would I buy this book again? No. Why did I buy this book? Because I had to. Should anyone who does not have to buy the book? No, not for any reason.

If you are looking for an introductory textbook, there is a world of wonderful books out there. If you are trying to learn SPSS/SAS, look for resourcess directly pertaining to SPSS/SAS, not this book for which the software is an afterthought. If you are trying to get an intermediate-level instruction in statistics, this book will be either boring or confusing, and rarely somewhere in between.
Unclear writing, fails to explain basic mathematical or logical concepts or even to do basic signposting like telling you where the F values table is and when to use it. Really, only buy this if a statistics professor forces you to, and pay as little as possible for a used copy so you have enough money left over to buy a well-written intermediate stats textbook also so that you actually understand anything.
Intermediate Statistics: A Modern Approach

Lots of typographical errors in this book, which made it difficult to read and follow the examples. I expect more proofreading from a textbook.

Wasn't very thorough in its examples and descriptions. The only thing this book was good for was the tables in the back. Don't buy this book unless you have to.
Very technically written for a beginner. Although i've seen some statistics books that are worse, i've certainly seen others that are more understandable for the novice.
It was ok. the book was good resource and something that I needed for my statistics. I would recommend the book to other students.
I am a professor of research methods in a school of education, and I use this book along with a more procedure-oriented book in my Intermediate Statistics course. I also use selected chapters from it in advanced seminars (such as Hierarchical Linear Modeling) as introductions. For my purpose and for my students, who are mainly doctoral students, I think it is the best book I have found. So I was surprised to see how lowly it had been rated in the Amazon reviews by students. What I particularly like is that Stevens includes the underlying mathematics, but always with ample conceptual explanation, so that the mathematics is accessible to the reader with a solid grounding in basic statistics and algebra. Some reviewers complained that the book was inappropriate for the novice. I agree. It requires a strong conceptual grasp of basic statistics and basic algebra, and it does not include any review of descriptive statistics or, for that matter, the foundational logic of inferential statistics. But if you have that grasp because you took a solid basic statistics course and did well in it, then this is a very good next step.
This is yet another well written book by Stevens. It goes into a sufficient amount of detail to understand the how, when, why, and where of these statistical analyses. One does not have to be a statistician to understand it. This book has great utility. The one disappointment was the lack of updated SPSS syntax, but other than this, it is well worth every penny.
The author of this book does not explain this information in a way that's easy to understand. Explanations are too short, and unclear. Some of the examples used to explain the formulas are incorrect.