ABSTRACT

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.

chapter 1|10 pages

Introduction to fundamental concepts

chapter 2|20 pages

Descriptive statistics

chapter 3|9 pages

The normal distribution

chapter 4|18 pages

Probability and statistical inference

chapter 5|19 pages

T-tests

chapter 6|21 pages

Introduction to analysis of variance

chapter 7|14 pages

Factorial analysis of variance

chapter 8|19 pages

Correlation

chapter 9|18 pages

Simple linear regression

chapter 10|19 pages

Multiple regression

chapter 11|11 pages

Logistic regression

chapter 12|8 pages

Non-parametric tests

chapter 13|7 pages

Effect sizes and confidence intervals

chapter 14|6 pages

Sample size estimation

chapter 15|3 pages

Analysis of covariance

chapter 16|3 pages

Multivariate analysis of variance