1st Edition

Advanced Statistics for Physical and Occupational Therapy

By Thomas Gus Almonroeder Copyright 2022
    262 Pages 64 B/W Illustrations
    by Routledge

    262 Pages 64 B/W Illustrations
    by Routledge

    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.

    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


    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