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Welcome!

This is the website for the online textbook Advanced Statistics written by Zhiyong Johnny Zhang and Lijuan Peggy Wang. The textbook is based on and used for the Advanced Statistics class taught by the authors at the University of Notre Dame.

This book is free to view. However, there are many advantages to register as a user. For example, after login, a user can add bookmarks easily. Registered users can also ask and answer questions. You can Log in using your AdvStats account or your Google account right now. To register now for an AdvStats account if you don't have a Google account, click here. You can also subscribe for more benefits. For example, after subscription, a user can directly conduct analysis using R within the webpage while reading the book. More information is available at how to use.

About the authors

Zhiyong Johnny Zhang

Dr. Zhiyong Johnny Zhang is an Associate Professor in quantitative psychology in the Department of Psychology at the University of Notre Dame. He is interested in developing and applying statistical methods and software in the areas of psychology, education and health research. He has taught Advanced Statistics from 2010-2013 and in 2016 at the University of Notre Dame.

Lijuan Peggy Wang

Dr. Lijuan Peggy Wang is an Associate Professor in quantitative psychology in the Department of Psychology at the University of Notre Dame. Her research interests are in the areas of longitudinal data analysis (e.g., methods and models for studying intra-individual change, variability, and relations, and inter-individual differences in them), multilevel modeling (e.g., dyadic data analysis), structural equation modeling (e.g., mediation analysis), and study design issues (e.g., sample size determination). She has taught Advanced Statistics in 2014 and 2015 at the University of Notre Dame.

How to cite the book?

To cite the book, use

Zhang, Z. & Wang, L. (2017). Advanced statistics using R. [https://advstats.psychstat.org]. Granger, IN: ISDSA Press. ISBN: 978-1-946728-01-2.

Acknowledgement

The development of the website was partially supported by the digital learning initiatives at the University of Notre Dame.