Statistics & Research Methods

Browse statistics, biostatistics, probability, and research methodology textbooks for graduate students, researchers, and data analysts. Includes intro statistics, advanced methods, multivariate analysis, and applied statistics with R, SPSS, and SAS.

What's included

Introductory and advanced statistics textbooks
Biostatistics for medical and public health research
Probability theory and stochastic processes
Research design and methodology guides
Multivariate analysis, regression, and Bayesian methods
Testing & measurement and psychometrics

Who it's for

PhD and master's students in social sciences, public health, psychology, and biostatistics; data analysts; clinical researchers; and faculty teaching quantitative methods.

Why Book Shop Now

Authentic editions from Springer, Routledge, CRC Press, and Sage. Verified ISBNs and fast US shipping.

Statistical Methods by Donna L. Mohr

Introduction to Probability and Statistics for Engineers and Scientists by Sheldon M. Ross

Understandable Statistics by Charles Henry Brase

Statistical Rethinking A Bayesian Course with Examples in R and Stan by Richard McElreath

An Introduction to Statistical Methods and Data Analysis

Seeing Through Statistics by Jessica Utts

Hex, Inside and Out The Full Story by Ryan B. Hayward

Sampling Design and Analysis by Sharon L. Lohr

Learning Microeconometrics with R by Christopher P. Adams

Bayes Rules! An Introduction to Applied Bayesian Modeling by Alicia A. Johnson

Bayesian Nonparametrics for Causal Inference and Missing Data by Michael Joseph Daniels

Data Science in Education Using R by Ryan A. Estrellado

Multilevel and Longitudinal Modeling with IBM SPSS by Ronald H. Heck

Basic Quantitative Research Methods for Urban Planners by Reid H. Ewing

Statistical Inference Via Data Science A ModernDive, Into R and the Tidyverse by Chester Ismay

Analytic Methods in Sports Using Mathematics and Statistics to Understand Data from Baseball, Football, Basketball, and Other Sports by Thomas A. Severini

A Beginner's Guide to Structural Equation Modeling by Tiffany A. Whittaker

SPSS Demystified A Simple Guide and Reference by Ronald D. Yockey

Spatial Analysis with R Statistics, Visualization, and Computational Methods by Tonny J. Oyana

Machine Learning for Factor Investing R Version by Guillaume Coqueret

Interpreting Basic Statistics A Workbook Based on Excerpts from Journal Articles by Keith S. Cox

Supervised Machine Learning for Text Analysis in R by Emil Hvitfeldt

Network Psychometrics with R A Guide for Behavioral and Social Scientists by Adela-Maria Isvoranu

Doing Meta-analysis with R A Hands-on Guide by Mathias Harrer