We know you all received your start-up PhD package already with several useful books to help you kick start your PhD. However, if you are interested in learning more about statistics and want to go further into the topic, these are a couple of quintessential books to consider.
1. Multivariate Data Analysis: International Version by Joseph Hair, William Black, Barry Babin & Rolph Anderson
This book is still one of the most compact books dealing with multivariate data. It covers almost all possible topics of interest: – Factor analysis, Multiple regression, Multiple discriminant analysis, MANOVA, Conjoint analysis, Cluster analysis, Multidimensional scaling and Structural equation modeling.
The book is well structured. Key terms are defined at the start of each chapter, and then followed by a description, an example, and a detailed process for the practical application of each technique. There is also a data file available for download online for you to conduct your own analysis. However, this is not a user manual for different statistical software packages (for that maybe refer to Andy Field). The book does offer step-by-step guide on how to conduct your research and which data to report in your statistical analysis.
2. Discovering Statistics Using SPSS by Andy Field
If you will use SPSS to analyze your data, then this book is a “how to” guide for almost all statistics you will need to use. Filled with useful examples and vivid language, the book will give you all the information you need to run your analysis. It is a more practical, applied book than most statistics books and will come in handy. It will answer questions such as how to do graphs, what to do with outliers, how to interpret the SPSS tables, what assumptions need to be met for every statistical method and how to make sure they are met and much more. The book is based on SPSS 16 and 17.
The author also has a personal website entitled Statistics Hell, where you can access various handouts, podcasts, data files to help you better understand some topics, arranged by level of difficulty.
The book is written by Emeritus Professor Geoff Cumming (La Trobe University) and is of course available on Amazon, but you can also first check out the preview chapters to see if the book is for you.
The book deals with topics such as effect sizes, confidence intervals and meta-analysis in an accessible fashion. Amazon claims that it is chock full of practical examples and tips on how to analyze and report research results using these techniques. The book is invaluable to readers interested in meeting the new APA Publication Manual guidelines by adopting the new statistics – which are more informative than null hypothesis significance testing, and becoming widely used in many disciplines.
The book also comes highly recommended by Prof. Dr. Lisa Harlow.