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.

Hermeneutic Approaches to Interpretive Research Dissertations in a Different Key by Philip Cushman

A Handbook of Statistical Analyses using R, Third Edition by Torsten Hothorn

Probability and Measure by Patrick Billingsley

Unraveling the Assessment Industrial Complex How Testing Perpetuates Inequity and Injustice in America by Michelle Tenam-Zemach

Implementation Science The Key Concepts by Frances Rapport

Naptime at the O.K. Corral Shane's Beginner's Guide to Childhood Ethnography by Sally Campbell Galman

Statistics for Linguists An Introduction Using R by Bodo Winter

Benford's Law Applications for Forensic Accounting, Auditing, and Fraud Detection by Mark J. Nigrini

Fundamentals of Drug Development by Jeffrey S. Barrett

The Delphi Technique in Nursing and Health Research by Sinead Keeney

Linear Mixed-Effects Models Using R A Step-by-Step Approach by Andrzej Gałecki

Probability Theory and Stochastic Processes by Pierre Brémaud

The Mindful Qualitative Researcher by Laura L. Lemon

Student Study Guide with IBM (R) SPSS (R) Workbook for Research Methods, Statistics, and Applications by Kathrynn A. Adams

An Introduction to Statistics An Active Learning Approach by Kieth A. Carlson

Random Forests with R by Robin Genuer

Counseling Assessment and Evaluation by Joshua C. Watson

Fundamentals of Spatial Analysis and Modelling by Jay Gao

Writing Feminist Autoethnography In Love with Theory, Words, and the Language of Women Writers by Elizabeth Mackinlay

Writing Grant Proposals in Epidemiology, Preventive Medicine, and Biostatistics by Lisa Chasan-Taber

Introduction to Population Pharmacokinetic / Pharmacodynamic Analysis with Nonlinear Mixed Effects Models by Joel S. Owen

An Introduction to Statistics and Data Analysis Using Stata® From Research Design to Final Report by Lisa Daniels

Feedback for Continuous Improvement in the Classroom New Perspectives, Practices, and Possibilities by Brent Duckor

Python for Marketing Research and Analytics by Jason S. Schwarz