Paperback: 490 pages
Publisher: Pearson; 2 edition (August 15, 2009)
Language: English
ISBN-10: 0135085071
ISBN-13: 978-0135085073
Product Dimensions: 7.9 x 0.7 x 9.9 inches
Shipping Weight: 1.2 pounds (View shipping rates and policies)
Average Customer Review: 3.9 out of 5 stars See all reviews (43 customer reviews)
Best Sellers Rank: #57,252 in Books (See Top 100 in Books) #32 in Books > Textbooks > Medicine & Health Sciences > Nursing > Research & Theory #38 in Books > Medical Books > Nursing > Research & Theory #48 in Books > Medical Books > Research
This is one of the most user-friendly statistics books I have ever purchased. The information and concepts are easy to understand with multiple examples. The specific subject in each chapter is highlighted for easy locating. There are additional tables in the back that can be used to solve problems. I highly recommend this book.
I used to teach statistics in a psychology department. My daughter uses this for her nursing graduate program and I help her with her home work. I found this book to be a great introductory book for classical statistics. The explanation are clear and easy to follow and the formulas are well explained with computational examples. I found it to be a great review for me and a much better explanation of logistic regression than I have see in most books. What it may lack in some explanations can be easily found on the internet these days. If you want a good broad based introduction to classical statistics, this book is for you.
It comes with three data sets for practicing SPSS and completing B sets of exercises in each chapter. Exercises are tailored to enhance understanding how to interpret the statistical tests and results.
I got this book for my nursing class at National University. While there are a lot of great, practical examples in the book, overall the writing is somewhat disorganized. Some of the reading is fairly easy, but then further in the book the author goes into great detail with the examples, though a lot of the detail was never covered in the reading.If this is the book you're assigned, while it isn't the worst book, it could definitely use a lot of improvement.
I have found this book helpful and clear to read. The class itself is a difficult subject for me but with the two books I bought and the computer program has made this class more interesting and easier to do the assignments.
This was a required textbook for a graduate level nursing statistics course. The text's chapters are organized and provide a comprehensive overview of the different statistical tests. All provided examples are pulled directly from nursing research and are understandable. I found the end of chapter exercises to be helpful but unfortunately, explanations or rational to the answers were not provided in the explanation. While this textbook contributed to my understanding of course content I didn't find it to be a particularly good "reference book" and I don't imagine I'll refer to it again now that the course is over.
I would never read this book unless it was required for a course, which it was in my case. I was not very appreciative of the author's style. It is a complex subject, but the author seemed to make it extremely complicated. It could use more diagrams to differentiate different data.
Many of us are afraid of statistics as a field that is obscure; with a jargon that not only we cannot understand but it is seemingly boring and good only for sleepless nights.I was very surprised with this book; Polit not only made statistics understandable, but she uses plenty of examples to drive home the point. Even if your course does not require this specific book, get it anyway: it will make a world of difference.
Analytics: Data Science, Data Analysis and Predictive Analytics for Business (Algorithms, Business Intelligence, Statistical Analysis, Decision Analysis, Business Analytics, Data Mining, Big Data) Statistics and Data Analysis for Nursing Research (2nd Edition) Data Analytics: Practical Data Analysis and Statistical Guide to Transform and Evolve Any Business. Leveraging the Power of Data Analytics, Data ... (Hacking Freedom and Data Driven) (Volume 2) Data Analytics: What Every Business Must Know About Big Data And Data Science (Data Analytics for Business, Predictive Analysis, Big Data) Statistics and Data Analysis for Financial Engineering: with R examples (Springer Texts in Statistics) Nursing Theories and Nursing Practice (Parker, Nursing Theories and Nursing Practice) Nursing Research: Methods and Critical Appraisal for Evidence-Based Practice, 8e (Nursing Research: Methods, Critical Appraisal & Utilization) Nursing Care Plans: Nursing Diagnosis and Intervention, 6e (Nursing Care Plans: Nursing Diagnosis & Intervention) Pearson Reviews & Rationales: Nursing Fundamentals with "Nursing Reviews & Rationales" (3rd Edition) (Pearson Nursing Reviews & Rationales) Pearson Reviews & Rationales: Medical-Surgical Nursing with "Nursing Reviews & Rationales" (3rd Edition) (Pearson Nursing Reviews & Rationales) How to Get Out of Nursing: Using your nursing skills, experience and abilities to land the perfect non-nursing job (Practical Guidebooks for Busy Nurses Book 3) Head First Data Analysis: A learner's guide to big numbers, statistics, and good decisions Applying Quantitative Bias Analysis to Epidemiologic Data (Statistics for Biology and Health) Delmar's Nursing Review Series: Gerontological Nursing (Thomson Delmar Learning's Nursing Review Series) Big Data Appliances for In-Memory Computing: A Real-World Research Guide for Corporations to Tame and Wrangle Their Data Basic Marketing Research: Using Microsoft Excel Data Analysis, 3rd Edition Even You Can Learn Statistics and Analytics: An Easy to Understand Guide to Statistics and Analytics (3rd Edition) Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data (Data-Centric Systems and Applications) Discovering Statistics Using IBM SPSS Statistics, 4th Edition