Some of our Favorite Books
The Essential Guide to Effect Sizes: Statistical Power, Meta-analysis, and the Interpretation of Research Results
This concise book by Paul Ellis (2010) provides an excellent introduction to effect sizes, statistical power, and meta-analysis. Dr. Ellis has written a book in straight-forward language that many have found helpful. The examples used do a great job of making the content accessible and interesting. This book is a great place to start for those who want a general treatment of effect size and statistical power.
The Reviewer’s Guide to Quantitative Methods in the Social Sciences
This guide, edited and authored by Laura M. Stapleton, Ralph O. Mueller, and Gregory R. Hancock (2016), is a must-have book for quantitative researchers in the social sciences who submit their work to academic journals. The second edition covers 35 commonly-used analyses from Analysis of Variance to Latent Growth Curve Modeling to Multilevel Modeling to Survey Research. Each chapter presents an introduction to a method’s key principles, usage, assumptions, and limitations with a table listing the criteria that should be included and where the criteria should be (e.g., Introduction, Methods, Results) when writing up research that uses that method. We give this book five stars!
An Introduction to Statistical Concepts
This book, by R.G. Lomax and D.L. Hahs-Vaughn, provides a great introduction to univariate statistical analysis. It includes step-by-step instructions for how to do analyses in SPSS, including screen shots, how to interpret the SPSS output, how to use G*Power to compute power, and how to write up the analyses in APA style. Both the 3rd edition (2012) and the 4th edition (2020) are available as electronic books through the OSU library.
Applied Quantitative Analysis in Education and the Social Sciences
This book, edited by Yaacov Petscher, Christopher Schatschneider, and Donald L. Compton (2013), is a useful guide to advanced research methods. The chapters are written by researchers who are well-regarded in the field. The book is divided into four parts: Individual-Level Analysis, Multilevel Analysis, Item-Level Analysis, and Covariance Structure Analysis and is chock full of SPSS, SAS, Mplus, LISREL and R syntax for conducting advanced analyses such as Linear and Quadratic Growth Models to Structural Equation Modeling.
Applied Missing Data Analysis with SPSS and (R)Studio
This book, by Martijn W. Heymans and Iris Eekhout, provides a great introductory overview of missing data analysis. Click on the title of the book to access an electronic copy of the book.
This new podcast is “dedicated to all things quantitative” with co-hosts Patrick Curran and Greg Hancock. The two hosts are experienced, well-known quantitative methodologists who are good friends. They discuss interesting quantitative topics like Statistical Power (Struggles) and Talking to Strangers… About Quantitative Methodology. The podcast is funny and interesting to anyone who likes quantitative methods and even to those who don’t! We recommend it.
Research in Action
This podcast with over 130 episodes from Oregon State University covers topics and issues related to research in higher education from experts across a range of disciplines. For example, you can listen to experts discuss non-parametric statistics, effect sizes, or learning analytics and big data. Episodes are posted weekly and include guest interviews and solo episodes.