Statistical Primer for Athletic Trainers: The Difference Between Statistical and Clinical Meaningfulness
Related Experiment Video
Updated: Mar 27, 2026

Muscle Imbalances: Testing and Training Functional Eccentric Hamstring Strength in Athletic Populations
Published on: May 1, 2018
Bryan L Riemann1, Monica Lininger2
1Department of Health Sciences, Armstrong State University, Savannah, GA;
Objective:
To explain statistical significance and clinical meaningfulness and to provide guidance in evaluating the clinical meaningfulness of a study.
Background:
Understanding the results and statistics reported in original research remains a large challenge for many certified athletic trainers, which in turn, may be among the biggest barriers to integrating research into athletic training practice.
Description:
Statistical significance reflects the influence of chance on the outcome, whereas clinical meaningfulness reflects the degree to which the differences and relationships reported in a study are relevant to athletic training practice. As consumers of original research, athletic trainers must understand the core factors, most notably sample size, that influence statistical significance.
Recommendations:
To assist clinicians in evaluating the clinical meaningfulness of a research study, authors should provide the core elements necessary for interpreting statistical significance and discuss the clinical meaningfulness of statistically significant findings.
Related Concept Videos
Bootstrapping
Overview of Biostatistics in Health Sciences
Introduction to Statistics
In statistics, the collection of individuals or objects under study is called population. The idea of sampling is to select a portion of the larger population...
Regression Toward the Mean
Statistical Methods to Analyze Parametric Data: Student t-Test and Goodness-of-Fit Test
The Student's t-test is a statistical test that examines if there is a statistically significant difference between the means of two groups. This test is instrumental when dealing with...
Statistical Software for Data Analysis and Clinical Trials

