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.

Applied Structural Equation Modeling Using AMOS Basic to Advanced Techniques by Joel E. Collier

Delivering Psycho-educational Evaluation Results to Parents A Practitioner's Model by Francis J. DeMatteo

Just Relationships Living Out Social Justice as Mentor, Family, Friend, and Lover by Douglas L. Kelley

Using R for Item Response Theory Model Applications by Insu Paek (Professor of measurement and statistics)

Linear Algebra and Optimization for Machine Learning A Textbook by Charu C. Aggarwal

How to do a Research Project A Guide for Undergraduate Students by Colin Robson

Tests and Assessments in Counseling A Case by Case Exploration by Bill McHenry

An Introduction to Kolmogorov Complexity and Its Applications by Ming Li

Fair Isn't Always Equal Assessment and Grading in the Differentiated Classroom by Rick Wormeli

Guide to Fortran 2008 Programming by Walter S. Brainerd

Information Geometry and Its Applications by Shun-ichi Amari

Clinical Trials in Oncology by Stephanie Green

Embodiment in Qualitative Research by Laura L. Ellingson

Credit-Risk Modelling Theoretical Foundations, Diagnostic Tools, Practical Examples, and Numerical Recipes in Python by David Jamieson Bolder

Introductory Relational Database Design for Business, with Microsoft Access by Jonathan Eckstein

Machine Learning for Text by Charu C. Aggarwal

Regression Modeling Strategies With Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis by Frank E. Harrell

Assessing Adolescent Psychopathology MMPI-A, MMPI-A-RF by Robert P. Archer

Epidemics Models and Data Using R by Ottar N. Bjørnstad

Understanding the New Statistics Effect Sizes, Confidence Intervals, and Meta-analysis by Geoff Cumming

Research Methods for Industrial and Organizational Psychology Science and Practice by Richard N. Landers

Introducing Monte Carlo Methods with R by Christian Robert

Statistics and Data Analysis Literacy for Nurses by Melanie T. Turk

Experiments Planning, Analysis, and Optimization by C. F. Jeff Wu