Senin, 26 Mei 2014

[S143.Ebook] PDF Download Explaining Psychological Statistics, by Barry H. Cohen

PDF Download Explaining Psychological Statistics, by Barry H. Cohen

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Explaining Psychological Statistics, by Barry H. Cohen

Explaining Psychological Statistics, by Barry H. Cohen



Explaining Psychological Statistics, by Barry H. Cohen

PDF Download Explaining Psychological Statistics, by Barry H. Cohen

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Explaining Psychological Statistics, by Barry H. Cohen

Praise for the previous edition of Explaining Psychological Statistics

"I teach a master's level, one-semester statistics course, and it is a challenge to find a textbook that is at the right level. Barry Cohen's book is the best one I have found. . . . I like the fact that the chapters have different sections that allow the professor to decide how much depth of coverage to include in his/her course. . . . This is a strong and improved edition of an already good book."

—Karen Caplovitz Barrett, PhD, Professor, and Assistant Department Head of Human Development and Family Studies, Colorado State University

"The quality is uniformly good. . . . This is not the first statistics text I have read but it is one of the best."

—Michael Dosch, PhD, MS, CRNA, Associate Professor and Chair, Nurse Anesthesia, University of Detroit Mercy

A clear and accessible statistics text— now fully updated and revised

Now with a new chapter showing students how to apply the right test in the right way to yield the most accurate and true result, Explaining Psychological Statistics, Fourth Edition offers students an engaging introduction to the field. Presenting the material in a logically flowing, non-intimidating way, this comprehensive text covers both introductory and advanced topics in statistics, from the basic concepts (and limitations) of null hypothesis testing to mixed-design ANOVA and multiple regression.

The Fourth Edition covers:

  • Basic statistical procedures
  • Frequency tables, graphs, and distributions
  • Measures of central tendency and variability
  • One- and two-sample hypothesis tests
  • Hypothesis testing
  • Interval estimation and the t distribution

  • Sales Rank: #24714 in Books
  • Brand: Brand: Wiley
  • Published on: 2013-12-04
  • Original language: English
  • Number of items: 1
  • Dimensions: 10.10" h x 2.50" w x 7.40" l, 3.60 pounds
  • Binding: Hardcover
  • 848 pages
Features
  • Used Book in Good Condition

About the Author

BARRY H. COHEN, PhD, is a clinical associate professor in the department of psychology at New York University, where he has been teaching statistics for more than twenty-five years. He is the coauthor of two other successful statistics books from Wiley: Introductory Statistics for the Behavioral Sciences, Seventh Edition and Essentials of Statistics for the Social and Behavioral Sciences.

Most helpful customer reviews

1 of 1 people found the following review helpful.
It's good at being good and good at being bad
By David Schweitzer
This textbook is a step up from a typical undergraduate course in "baby statistics" by demanding more understanding of what ideas and methodologies are and demand more rigor from analysis and understanding of conclusions--most first courses are all about "do this and give the answer." This book will absolutely ask you the questions that force you to interpret your answers.

The format of the book is very appropriate for what it does. It starts with some descriptive knowledge and really basic computations, "Section A" for every chapter. Its problems typically ask you to give examples of this or that (give an example when a one-tail test would be appropriate, now an example for two-tests, etc.), do the same rudimentary calculations you did in baby stats (find the mean, calculate the critical value, etc.), not much more. "Section B" will begin exploring the nuances of various ideas--appropriate sample sizes, using the correct test (z-test or t-test as examples), how to interpret your results and how to do so correctly. "Section C" will cover advanced material usually involved with tougher calculations, tougher problems, and a real demand for knowing precisely what definitions and statements mean.

The explanations in this book are also very nice. Cohen clearly understands what ideas are AND he understands how often ideas are misunderstood (the infamous p-value and the rampant abuse in social sciences is brought up), offering caveats and details to better demystify what this or that is saying.

All in all, it's pretty solid for someone who doesn't want a mathematically rigorous definition of this or that term--it's a book FOR the social scientist, someone who needs some tools in the toolbox and needs to understand how the tools work and what results can be expected.

However, if you're left uncertain about some topic, or what the difference between this term and that term are, good luck. You won't get a clear explanation, for Cohen talks to you like a person, not like a student. And I don't think he understands how to treat you like a student, either. A good example is using Bayes's Theorem: you're given a pretty thorough example of people going to jail being innocent or guilty, complete with numbers and calculations. But then translating all of this into terms corresponding to the null hypothesis and alternate hypothesis are just pulling numbers out of thin air with no context ("suppose this variable is 0.9 and that one is 0.6. This is what happens when you multiply them."). That's not a good way to bridge the gap between a specific example and a general explanation.

Also, expect to struggle with establishing the null hypothesis: many problems make it very clear right away what your null hypothesis is. The others absolutely don't, and Cohen doesn't guide you through this process earlier in the text at all, simply defining what a null hypothesis is and moving on from there. So when you're testing antianxiety drugs but all your drugs are fraudulent and you're wondering about Type I and Type II errors, you're going to spend a few moments wondering what your null hypothesis is to begin with.

Worse, many problems use ugly, ambiguous language. "How many people are probably unqualified if half of all people are unqualified?" vs "How many people are probably unqualified if 10% of people TEND TO BE unqualified?"

The two problems are solved the exact same way using the appropriate numbers you're given in the actual problem's context. But there is a very big difference in BEING unqualified vs TENDING TO BE unqualified. The context here is passing a test, and BEING unqualified assumes you've passed the test. TENDING TO BE unqualified sounds like it's independent of whether or not you passed (which means you're using the same equation, but you're solving for a VERY different variable, requiring you to do some algebra). But again, the book is ACTUALLY expecting you to solve them the exact same way.

So why was there a change in language? Why include the ambiguous "tends to be" unnecessarily?

You'll find many, many, many problems do exactly this. He loses a lot of points there, especially when he goes on about how common it is for students ("and professors!" he says) to get confused and make mistakes; he's just not being precise himself.

And unfortunately the problem is so predominant that the book is basically "okay." You'll get what you need, but you'll likely be left scratching your head at a few things.

1 of 1 people found the following review helpful.
Great stats text!
By Amanda Kaczmarek
Bought this book for my introductory statistics course in graduate school. The homework problems were very useful, and I appreciated how the author would explain the concepts and theory. The organizational structure of the book was also helpful in that each chapter has a section on concepts/theory, a section on the formulas/computations, and finally a section on how to use SPSS for those skills. Will be keeping this reference for sure!

1 of 1 people found the following review helpful.
Not the best option
By Jasmin Yaeger
The concepts are presented one way, and then the author says "Don't do it that way, no one does it that way....do it this way." Just not advisable, but it was required textbook for my graduate stats course. So...not a lot of options.

See all 5 customer reviews...

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