![]() ![]() ![]() The use of warm-up, simulation of convection load, and implementation of race specific hydration practices are important considerations for researchers regarding test validity. Few studies have assessed the validity of endurance performance tests, and as such more research should evaluate different ways of simulating outdoor performances in the laboratory. Long duration time-trials or the inclusion of sprints within a time-trial appears to not negatively influence reliability. Time-trial protocols commonly have a coefficient of variation (CV) of <5%, however, familiarization, well-trained subjects and/or conducting the trial outdoors in the athlete’s most familiar environment can lead to CVs of < 1%. High validity is also important to ensure test performance reflects true performance. Performance testing protocols must have high reliability to ensure any changes are not due to measurement error or inter-individual differences. In other words, a test needs to be reliable in order to be valid. Some measures, like physical strength, possess no natural connection to intelligence. For example, imagine a researcher who decides to measure the intelligence of a sample of students. However, an unreliable test limits the ability for a test to be valid. Validity pertains to the connection between the purpose of the research and which data the researcher chooses to quantify that purpose. Sports performance testing is one of the most common and important measures used in sport science. A test can be reliable by achieving consistent results but not necessarily meet the other standards for validity. ![]()
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