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Reading Statistics and Research (6th Edition)
Ebook Free Reading Statistics and Research (6th Edition)
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Employing a non-intimidating writing style that emphasizes concepts rather than formulas, this uniquely welcoming text shows consumers of research how to read, understand, and critically evaluate the statistical information and research results contained in technical research reports. Some key topics covered in this thoroughly revised text include: descriptive statistics, correlation, reliability and validity, estimation, h hypothesis testing, t-tests, ANOVA, ANCOVA, regression, multivariate analysis, factor analysis, and structural equation modeling (SEM). A number of mini-topics related to research and statistics are also discussed, such as the geometric mean, Tau-b correlation, Guttman split-half reliability, sensitivity, specificity, and the Sobel test. Additionally, the sixth edition also includes over 488 new excerpts (tables, figures, passages of text) taken from current research reports. Written specifically for students in non-thesis Master’s Programs but also perfectly suitable for students in upper-level undergraduate statistics courses, doctoral students who must conduct dissertation research, and independent researchers who want a better handle on how to decipher and critique statistically-based research reports. Thoroughly updated and revised to reflect advances in the field, Reading Statistics and Research, Sixth Edition gives consumers of research exactly what they are seeking in this caliber of text, that being the knowledge necessary to better understand research and statistics, and the confidence and ability to ultimately decipher and critique research reports on their own.
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Product details
Paperback: 592 pages
Publisher: Pearson; 6 edition (March 6, 2011)
Language: English
ISBN-10: 013217863X
ISBN-13: 978-0132178631
Product Dimensions:
7.4 x 1.5 x 9 inches
Shipping Weight: 1.8 pounds (View shipping rates and policies)
Average Customer Review:
4.3 out of 5 stars
45 customer reviews
Amazon Best Sellers Rank:
#238,050 in Books (See Top 100 in Books)
I am an academic physician who does clinical research. I am not a statistician and for the most part statistical analysis for my research projects are conducted by professionals in this area. However, I needed to get a better understanding of what my statisticians do so that I can communicate better with them and interpret the clinical research I read. This text was the course textbook in a statistics class I took while getting a master's degree in academic medicine at USC. It is by far the very best text I've ever read from the standpoint of helping a non-statistician's interpret statistical works. It is not meant to teach its' reader how to do statistics but rather how to interpret them so the low score reviews on Amazon that were looking for mathematics and work through problems in the text are looking at the wrong book. That was never the author's stated claim for the text. If you want to do statistics look elsewhere. If you want the very best book for learning how to interpret them then this is the text to get.
Reading Statistics and Research by Schuyler W. Huck should be part of every education student's reference library because heis a great explainer of all the different elements that are involved in statistics and educational research. Huck's book provides the studentof education with the necessary background information to critically examine a journal article, to examine the design and results of a statistical study, and to avoid certain common errors that educational researchers sometimes make. Reading Statistics and Research is not a primer or 'how-to-do' statistics book for the novice. Ignore critical reviews that fault his book for this aspect as this was not his stated purpose for writing the book as mentioned in the preface of the book. A+++++ book and fun and informative to read.
This book is great for learning how to analyze statistical arguments, but it does not teach you how to compute the different statistical tests/quantities. I do not recommend this book for a beginner statistician until you have learned how to compute the statistics.
As a doctoral student who is trying to get a handle on statistics, I found this book very helpful. Huck does a nice job of supporting what you learn in statistic classes (all the formula and theory `stuff') with real world interpretations and examples. I find his book to be a good resource when I am reading and critiquing journal articles, and when I am trying to word my statistical results in appropriate research vernacular.Please note - this book is not a stats how to book and as such contains no formulas.
Clarity for tough topics. One of the best textbooks I've ever used. I've gone back to it several times, trying to clarify poorly presented material from other courses.
This text, which was required for a graduate course I am taking, has excellent resources included to help you with the subject matter. There are internet sites you can visit to get more in-depth on any sections you choose, as well as a supplementary site by the author with extra articles, self-quizzes, etc...The material is a bit dry to read at times, but overall it's interesting and is divided up into sections that make it easier to read.
Love this easy-to-understand book for my Statistics class. I love that every concept is easy to understand.
This book was SO great for my Stats class! Statistics is such a tedious and complex subject, and Huck really makes every single subject so clear, readable, understandable, and -- make sure you're sitting -- even a little interesting...!!!! Highly recommended for anyone who is not a stats whiz by any stretch (like me) and needs to understand it! But I could imagine that even a statistics expert would enjoy reading all of these sophisticated concepts laid out so clearly and simply. Thank you, Prof. Huck!
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