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Research Methods and Statistics: A Critical Thinking Approach Hardcover – Unabridged, January 1, 2012

ISBN-13: 978-1111346553 ISBN-10: 1111346550 Edition: 4th

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Product Details

  • Hardcover: 528 pages
  • Publisher: Cengage Learning; 4 edition (2012)
  • Language: English
  • ISBN-10: 1111346550
  • ISBN-13: 978-1111346553
  • Product Dimensions: 9.2 x 7.3 x 1 inches
  • Shipping Weight: 2.2 pounds (View shipping rates and policies)
  • Average Customer Review: 4.0 out of 5 stars  See all reviews (20 customer reviews)
  • Amazon Best Sellers Rank: #99,100 in Books (See Top 100 in Books)

Editorial Reviews

Review

Brief Contents 1. Thinking Like a Scientist. 2. Getting Started: Ideas, Resources, and Ethics. 3. Defining, Measuring, and Manipulating Variables. 4. Descriptive Methods. 5. Data Organization and Descriptive Statistics. 6. Correlational Methods and Statistics. 7. Probability and Hypothesis Testing. 8. Introduction to Inferential Statistics. 9. The Logic of Experimental Design. 10. Inferential Statistics: Two-Group Designs. 11. Experimental Designs with More Than Two Levels of an Independent Variable. 12. Complex Experimental Designs. 13. Quasi-Experimental and Single-Case Designs. 14. APA Communication Guidelines. 15. APA Sample Manuscript. Appendix A: Statistical Tables. Appendix B: Computational Formulas for ANOVAs. Appendix C: Answers to Odd-Numbered Chapter Exercises and All Review Exercises. Appendix D: Excel, SPSS, and TI84 Exercises. References. Glossary. Index.

About the Author

Sherri L. Jackson is professor of psychology at Jacksonville University (JU), where she has taught since 1988 and currently serves as Chair of the Division of Social Sciences. At JU, she has won Excellence in Scholarship (2003), University Service (2004), and Teaching (2009) awards, the university-wide Professor of the Year Award in 2004, the Woman of the Year Award in 2005, and the Institutional Excellence Award in 2007. She received her M.S. and Ph.D. in cognitive/experimental psychology from the University of Florida. Her research interests include human reasoning and the teaching of psychology. She has published numerous articles in both areas. In 1997, she received a research grant from the Office of Teaching Resources in Psychology (APA Division 2) to develop A Compendium of Introductory Psychology Textbooks 1997-2000. She is also the author of STATISTICS PLAIN AND SIMPLE, 3rd Edition (Wadsworth/Cengage, 2014), RESEARCH METHODS: A MODULAR APPROACH, 3rd Edition (Wadsworth/Cengage, 2015) and A CONCISE GUIDE TO STATISTICAL ANALYSES USING EXCEL, SPSS, AND THE TI-84 CALCULATOR (Cengage, 2013).

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3 of 3 people found the following review helpful By Rich T on February 2, 2012
Format: Hardcover Verified Purchase
I like the addition of the exercises in the back, but this version has replaced the great quick-reference flowcharts in the front of the book with a tacky Cengage ad. The quick-reference chart was THE thing I needed as a beginning statistics student to get my head around what to use when. It's a shame this was left out.
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1 of 1 people found the following review helpful By Aftin Saylor on November 1, 2013
Format: Hardcover Verified Purchase
Over the past couple years I have found that Psychology text books are useful in academic settings, but not for people who just want to pick up the book for "just for fun" reading. The text "Research Methods and Statistics" is very beneficial if you are in a course that requires this specific text. One of the problems I have found with Psychology books is that they do not discuss topics fully, but in this specific text the author goes into depth to make sure that you know what you are discussing.

For a research & statistics course I have found that the math content and reviewing graphs is hard. Luckily, this text provides step by step examples to make it easier to complete each problem. Standard deviation, variance, mean, mode, etc. are just some examples of the types of mathematical terms you will run into. Bar, scatter, line graphs are all types of graphs that are used to show these mathematical calculations in different ways. This book could possibly even be a good teacher for a psychology student but I would not fully depend on it because some individuals are vocal learners not visual.

An APA style paper is discussed in this book as well. If you are a Psychology major (which I assume you are if you are even required to purchase this type of text), you will need to write some form of APA styled paper. This type of writing is different from the standard MLA format. This book assumes you know absolutely nothing about an APA styled paper which is awesome! There are different communication guidelines, steps in organizing the paper and the book even includes a sample paper in APA style that is a good reference when writing your own.

For an easy flow this book displays a table of content that directs you easily to the different parts of the book.
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1 of 1 people found the following review helpful By Twoozle on August 20, 2013
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Very easy to read, information presented in an easily understood order, information is all pertinent (don't you just hate when they waste time repeating themselves? This one does not: everything said once and clearly).
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1 of 1 people found the following review helpful By N. Randall on July 25, 2013
Format: Hardcover Verified Purchase
Had to get this for a statistics class and it is very difficult to read with few explanations. For example, talking about post hoc testing, Jackson just discusses one post hoc, and not any others. For a better statistics book, highly recommend Andy Field's series, both his stats book with SPSS and the one with R if you want to go that direction. I have the SPSS one, third edition, and the price is not that bad, under $80.00. Have used it for two courses now and it's very well written and Field explains things very well and clearly.
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1 of 1 people found the following review helpful By knitterbunny on February 3, 2013
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I like the way this book is laid out. Each chapter has the same structure so it is easy to follow. Good study guide new learners of statistics.
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1 of 1 people found the following review helpful By Lacy on January 21, 2013
Format: Hardcover Verified Purchase
This was a required text for two Statistics classes at my university with one being a continuation of another. The book is easy to read, but I really hate the way it is organized and the way it gives examples. I wish the examples were more clear-cut and had their own section separate from the paragraph text so that they were easier to find and look at whenever need be. Having to go back and search for that one example in that one paragraph is quite tedious. I also wish it had even more examples. However, the book is much easier to understand than most statistic-based or math-based textbooks. I think I would prefer this textbook to any other, if that counts for anything.
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1 of 1 people found the following review helpful By Sharon Alexander on January 7, 2013
Format: Hardcover Verified Purchase
Awesome book and customer service. I would highly recommend this book! Great customer service and the book was shipped fast!
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I actually learned so much from this book! I don't know if it's due to the previous courses I had in statistics, but somehow Dr. Jackson made the analyses and formulas understandable and this is important because once your "understand" when, why, and how to use a particular analysis (from sampling to beta level calculation), you'll be better able to support internal and possibly external validity, thus strengthening your research to withstand scrutiny from peer review. This book was VERY helpful to me in my quantitative design course because the my online degree program does not "teach" you much at all; you are left to learn the material on your own... and you better be able to apply what you've taught yourself because your research will depend on it! They call this type of pedagogy "instruction through feedback". I loathe it and love at the same time because it forces you to think and it prepares you for actual research in the real world. Anyway, I wish I had this book for my first statistics course; though I did well, I'm pretty sure I would have had an easier time "doing well". This book is one of the few books that actually gives meaningful examples and they're not all medical statistics examples.

The downside: the book is very expensive ($154.00). Granted, the market may have more to do with influencing prices, but damn, this book was pricey :) Still, as I believe, "Ya can't put a price on knowledge & understanding, but you can lower the cost of them"

I believe the best statistical research books out there are the ones that employ examples from various fields of discipline instead of dozens of examples in medicine or psychology. How about using criminal justice, history, business, architecture, and other fields of study as examples? This makes learning stats more meaningful and possibly easier to understand.

Overall, I'm glad I have this book and I know I'll use it often for future reference.
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