Validity in Strength and Conditioning
Validity in Strength and Conditioning
Introduction
This module focuses on validity and its importance in strength and conditioning. We will explore:
- Definition of validity.
- Importance of validity for strength and conditioning coaches.
- Methods for assessing validity.
- Designing validation studies.
What is Validity?
Validity is the degree to which a test or instrument measures what it intends to measure. It determines the accuracy of a measurement in representing what we are trying to test.
- Example: How accurately does a test measure an athlete's maximum strength?
Types of Validity
1. Logical Validity
- The degree to which a measure obviously involves the performance being tested.
- Example:
- One-repetition maximum (1RM) test for maximum strength: It logically assesses maximum strength by directly measuring the force an athlete can exert.
- Sprint testing measures speed over a specific distance, providing an indication of the athlete's sprint ability.
- Single leg balance test assesses an athlete's ability to maintain balance in a static environment.
2. Content Validity
- The degree to which a test adequately samples what was covered in a course (primarily used in education).
- Example: Ensuring tests in a course adequately sample from all content learned.
- Less relevant in strength and conditioning, but may apply to questionnaire work.
3. Criterion Validity
- The degree to which scores on a test or measurement are related to a recognized standard or criterion.
- Most important for strength and conditioning coaches when assessing equipment and tests.
- Split into two subtypes:
- Concurrent Validity
- Predictive Validity
Concurrent Validity
- Whether a measurement instrument is compared to a criterion using recordings made at the same time and whether they give approximately equal values.
- Commonly encountered in strength and conditioning literature.
- Involves measurement.
- Example: Comparing a velocity measurement device or jump mat to a gold standard like a force plate to ensure consistent jump height values.
Predictive Validity
- The degree to which scores of a variable can accurately predict criterion scores.
- Example: Assessing whether scores from the Functional Movement Screen (FMS) can predict injury in sports.
- Assessed through correlation or linear regression.
4. Construct Validity
- The degree to which a test measures a hypothetical construct.
- A hypothetical construct is a non-directly observable human characteristic or a known group difference.
- Example: Wellness questionnaires using Likert scales to assess an athlete's overall wellness based on training load changes.