Advanced Statistics for Physical and Occupational Therapy  book cover
1st Edition

Advanced Statistics for Physical and Occupational Therapy

  • Available for pre-order. Item will ship after April 5, 2022
ISBN 9781032017112
April 5, 2022 Forthcoming by Routledge
254 Pages 64 B/W Illustrations

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Book Description

Advanced Statistics for Physical and Occupational Therapy explains the basis for statistical analyses that are commonly used to answer clinical research questions related to physical and occupational therapy. This textbook provides a resource to help students and faculty in physical and occupational therapy graduate programs understand the basis for common statistical analyses and be able to apply these techniques in their own research. This textbook provides readers with the basis for common statistical analyses including t-tests, analysis of variance, regression, and nonparametric tests. Each chapter includes step-by-step tutorials with corresponding example data sets explaining how to conduct these statistical analyses using Statistical Package for the Social Sciences (SPSS) software and the Excel Analysis ToolPak, as well as how to identify and interpret relevant output and report results.

Advanced Statistics for Physical and Occupational Therapy is key reading for students in physical therapy, occupational therapy, sport performance and sport rehabilitation graduate programs as well as students in athletic training courses, applied statistics in sport and research methods in sport modules.

This new text will also be of interest to practicing clinicians who hope to better understand the research they are reading and/or are interested in starting to conduct their own clinical research.

Table of Contents

1. Introduction to Fundamental Concepts

2. Descriptive Statistics

3. The Normal Distribution

4. Probability and Statistical Inference

5. t-Tests

6. Introduction to Analysis of Variance

7. Factorial Analysis of Variance

8. Correlation

9. Simple Linear Regression

10. Multiple Regression

11. Logistic Regression

12. Non-Parametric Tests

13. Effect Sizes and Confidence Intervals

14. Sample Size Estimation

15. Analysis of Covariance

16. Multivariate Analysis of Variance

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Thomas Gus Almonroeder, PT, DPT, PhD is an assistant professor in the Department of Health Professions at the University of Wisconsin – La Crosse, USA.


"Dr. Almonroeder is uniquely qualified to author a text on applied research as it relates to the rehabilitation professions. As a practicing clinician, researcher, and faculty member, he has the rare ability to describe the complexities of research and statistics in a relevant and understandable way to bridge the gap between research and clinical practice."

Nathan Short, PhD, OTD, OTR/L, CHT, Huntington University, USA