Your correlation results are probably wrong. Sorry, but they are. You see, there is one really important thing to know about your correlations that mean that whatever results you get you can’t be sure they are correct. This book fixes that. Correlation is a way of describing how a pair of variables change together as a result of their connection. In other words, if one of your variables changes, the other is likely to change too, and correlations measure by how much. Correlation analysis is one of the most used – and misunderstood – statistical techniques. Most correlation results are wrong, and for one very good reason. In this book we’re going to understand just why this is, and learn how to fix it. Beginner’s Guide to Correlation Analysis explains how to look at correlations with a focus on understanding the data, how to work with it, choose the right ways to analyse it, select the correct statistical tools and how to interpret the results in a way that is easy to understand. Best of all, there is no technical or statistical jargon – it is written in plain English. It is packed with visually intuitive examples and makes no assumptions about your previous experience with statistics or correlations – in short, it is perfect for beginners! Discover the world of correlation analysis. Get this book, TODAY!
I love Lee Baker’s way of writing and explaining the tough world of statistics. Some 25 years after me listening to Statistics and Psychometrics and using these concepts for many years, Lee is still able to teach me a few interesting facts in just one school hour time. He is so good in explaining correlations that I just want to find some new dataset and play with it. If you want to know the basics of statistical correlation, what is it use for and WHY, I strongly recommend reading this book (and many other accompanying books in the series) first. And please, for data sake - visit the Resource page!!! 🤣
This book was mainly about enticing the reader into clicking on the author’s website. And thrown in were some examples of regression line fitting and some correlation statistical tests. There was little real discussion of statistical correlation.