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Straightforward Statistics, by Chieh-Chen Bowen
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Straightforward Statistics by Chieh-Chen Bowen is written in plain language and connects material in a clear, logical manner to help students across the social and behavioral sciences develop a “big picture” understanding of foundational statistics. Each new chapter is purposefully connected with the previous chapter for a gradual accrual of knowledge from simple to more complex concepts—this effective, cumulative approach to statistics through logical transitions eases students into statistics and prepares them for success in more advanced quantitative coursework and their own research.� �
- Sales Rank: #312068 in Books
- Published on: 2015-10-20
- Original language: English
- Number of items: 1
- Dimensions: 9.00" h x .80" w x 7.30" l, .0 pounds
- Binding: Paperback
- 608 pages
Review
“This book does an admirable job of presenting the rationale for the formulas, which should help the student understand the material more deeply. Additionally, the examples used by the author do a nice job of helping students walk through the process of applying the formulas to address research hypotheses.” (Arin M. Connell)
“I have been impressed with the author’s ability to explain statistical constructs in a straightforward manner.” (James E. Lennon)
Most helpful customer reviews
2 of 2 people found the following review helpful.
Review from someone who is bad at math:
By Newly declared MATH NERD!
I have never been a strong math student; I have always had trouble making sense of numbers and received a D in my spring 2015 stats course.
I have always used my textbook for math classes to copy down the problem and attempt to make the answer match the one in the back, praying that the homework only consisted of odd numbered problems because they were the only answers provided. Straightforward Statistics is written unlike any math textbook I have ever used.
This textbook allowed me to conceptualize the statistical concepts we learned by providing relevant example problems and very clearly breaking down the different procedures introduced in each chapter.
Each chapter thoroughly covers a concept or statistical test in a way that breaks down to WHY you would use it as well as how to do so. The beginning of each chapter clearly states what the reader is expected to gain from it. Throughout the chapter are “pop quizzes” and awesome note bubbles that point out: things to focus on, the author’s insights on a certain procedure, and hints on how to look at problems differently. The end of the chapter provides: a concise recap of the method learned (written in a way that someone with ZERO stats experience could totally grasp), a list of key terms and definitions and a learning assessment with a variety of problems to test your understanding.
I have never before had any reason to enjoy reading a math book, nor have I ever felt the need to write a review of one. This book reads like a narrative, not an endless list of equations to memorize. After using this textbook in my inferential statistics course I was shocked to discover that I not only understood the material, but I absolutely loved learning about it. I finished my fall 2015 semester with a solid B in statistics (and it COULD have been an A if I had managed my time properly on our first exam!).
I am currently in my final semester of my undergraduate degree. My major is psychology. My initial graduate and professional plans/goals focused mainly on studying behavior and learning and expanding upon different psychological theories. After learning to view statistics with the same enthusiasm and love as the author so obviously does, I was forced to allow myself to consider a previously unattainable education route that focuses intensely on analyzing data. Fields such as quantitative psychology and applied behavioral statistics are now in my radar.
I always assumed that only those with a genius IQ ever actually enjoyed playing with math, though now I find myself (previously considered BAD at math....) super excited to apply the statistical tests that I learned in this book to various data that I encounter. I am now able to take a seemingly random group of numbers and be confident in my ability to make them mean something; AND completely understand what my results mean and why a specific test is used.
I never expected keep a math textbook on my desk and refer to it regularly, sometimes just for fun, to see what the numbers "look like"! I have also never wanted to write over 500 words on how AWESOME I think my math text is. This book allowed me to develop a confidence that I thought was lost in my previous battle with numbers.
I am still baffled by how excited I am about statistics. Straightforward Statistics is truly the best textbook I have used for any type of course. I whole-heartedly recommend this book to any and all that are dreading taking a stats course. This book allowed me to broaden my educational interests and for that I am thankful.
1 of 1 people found the following review helpful.
I selected this book for my students because I liked the explanations and felt it covered more than traditional ...
By k.anon
I selected this book for my students because I liked the explanations and felt it covered more than traditional textbooks (for example, it teaches t-tests for when equal variances are not assumed). I was disappointed in the ANOVA chapter because it does not describe repeated measures or two-factor ANOVA. I already had materials and slides for this and felt this flaw was not enough to select another book. Given how reasonably priced this textbook is, I feel comfortable knowing I am not placing an excessive financial burden on my students. All around, a solid textbook. The two primary criticisms I have are: The ANOVA chapter feels incomplete, and much to my surprise, the student edition has all the answers in the back (not just odd questions). This makes the book less practical for assigning homework from but better for students who wish to get extra practice.
0 of 2 people found the following review helpful.
Four Stars
By Amazon Customer
Returned book, dropped class
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