The distribution, also known as a Gaussian distribution, is a symmetrical, bell-shaped representation of data, where the majority of values cluster around the mean. In the context of psychological measurement, this distribution frequently models the occurrence of various traits, abilities, or characteristics within a population. For instance, intelligence quotient (IQ) scores often approximate this type of distribution, with the average score centered and progressively fewer individuals scoring extremely high or low.
This type of distribution serves as a fundamental benchmark in statistical analysis. Its predictable properties allow researchers to make inferences about populations based on sample data. Understanding its characteristics enables psychologists to compare an individual’s score relative to a normative group and to evaluate the effectiveness of interventions or treatments. Historically, its application has been vital in standardizing psychological tests and interpreting research findings.