Continuous Norming Approaches: A Systematic Review and Real Data Example

Area of Science:

• Psychometrics
• Psychological assessment

Background:

• Accurate interpretation of psychological test scores relies on norming.
• Conventional norming methods face challenges like biases and large sample size requirements.
• Continuous norming methods aim to address these limitations.

Purpose of the Study:

• To systematically review continuous norming methods in psychological testing.
• To compare the precision of different norming approaches using real-world data.

Main Methods:

• Systematic literature review of 121 publications (189 studies).
• Analysis of simplified parametric norming prevalence and consideration of distributional assumptions.
• Empirical comparison of conventional, semi-parametric, and parametric norms on the Need for Cognition-KIDS scale standardization sample.

Main Results:

• Most reviewed studies utilized simplified parametric norming.
• Not all studies adequately addressed essential distributional assumptions.
• A precision hierarchy was observed: parametric norms > semi-parametric norms > conventional norms.

Conclusions:

• Continuous norming, particularly parametric methods, offers superior precision over conventional approaches.
• Further research is needed to compare different continuous norming methods conclusively.
• Adherence to distributional assumptions is crucial for robust norming.