What is one method to establish an individual’s upper and lower limits in testing?

Using normative data is an effective method to establish an individual’s upper and lower limits in testing because it provides a benchmark against which an individual's performance can be compared. Normative data is typically collected from a large, representative sample of the population, which helps to determine the range of scores that are considered average, below average, or above average.

By referencing normative data, practitioners can identify where an individual's performance stands in relation to a wider group. This allows for a clear understanding of their capabilities, strengths, and areas for improvement. Essentially, normative data helps to contextualize an individual's performance within a larger framework, making it easier to set realistic and achievable upper and lower limits tailored to the individual’s specific needs and goals.

Conducting a single test would not provide a reliable estimation of an individual's limits since performance can vary due to various factors like motivation, fatigue, or testing conditions. Ignoring previous test results disregards valuable information that can inform current assessments and limit adjustments to the individual's training program. Employing random test procedures lacks consistency and validity, making it difficult to accurately assess an individual's capabilities.