What do Florence Nightingale, a failed Antarctic expedition, the Guinness Ale Company, and the Challenger space shuttle disaster have in common? Discover the answer in this new statistics textbook for the behavioral sciences. In Statistics for the Behavioral Sciences , Susan Nolan and Tom Heinzen convincingly convey the social power and the personal benefits of statistical reasoning while faithfully teaching its underlying mathematical principles. Chapter-specific narratives let students encode and retain their learning through vivid associative memory hooks that all carry the same Statistics has a success story to tell. Embedding that story within each chapter makes learning statistics easier by making it more meaningful. The resulting text conforms to the traditional structure and elements of a statistics textbook, but it shifts the paradigm for teaching behavioral statistics from apology (for being so difficult) to opportunity (to create a meaningful career). You, and your students, will rave about a statistics textbook! Welcome to Nolan and Heinzen’s Statistics for the Behavioral Sciences !
I think the information in this book is find. However, do NOT buy the e-version for kindle. It is truly an atrocity because you can hardly use it at all. Most of the pages will not load, the formulas are formatted incorrectly (which renders most of what you’re learning grossly misleading and inaccurate), and the pages will glitch so that you will “turn” to the same page over and over before it leaps you ahead like 15 pages. Definitely buy the hard copy.
The authors attempt to make statistics as painless as possible, but this is just a painful subject. Their descriptions are mostly clear, though the graphics, captions, and tables tend to be repetitive and don't add any understanding to what is already in the text. Luckily my class didn't have to do the hand calculations, so I am not sure how clear those sections are. I'll keep this to help with my thesis, but I definitely got more out of my other statistics book this semester, which focused on how to use these techniques in SPSS.