It has become common practice to use factor analysis to derive personality traits. The Big Five model proposes that there are five basic personality traits. These traits were derived in accordance with the lexical hypothesis. These five personality traits: Extraversion, Neuroticism, Agreeableness, Conscientiousness and Openness to Experience have garnered widespread support
The Big Five Aspect Scale contains 100 items and is designed to measure the Big Five personality characteristics both at the trait and aspect level. The aspect level is described as being "a level of trait organization located between facets and domains"
A note on terminology: personality traits describe, relative to other people, the frequency or intensity of a person's feelings, thoughts, or behaviors.Possession of a trait is therefore a matter of degree. We might describe two individuals as extraverts, but still see one as more extroverted than the other. This report uses expressions such as 'extrovert' or 'high in extraversion' to describe someone who is likely to be seen by others as relatively extroverted.
The computer program that generates this report classifies you as low, average, or high in a trait according to whether your score is approximately in the lowest 30%, middle 40%, or highest 30% of scores obtained by people of your sex and roughly your age. Your numerical scores are reported and graphed as percentile estimates. For example, a score of '60' means that your level on that trait is estimated to be higher than 60% of persons of your sex and age. Please keep in mind that 'low,' 'average,' and 'high' scores on a personality test are neither absolutely good nor bad. A particular level on any trait will probably be neutral or irrelevant for a great many activities, be helpful for accomplishing some things, and detrimental for accomplishing other things.
As with any personality inventory, scores and descriptions can only approximate an individual's actual personality. High and low score descriptions are usually accurate, but average scores close to the low or high boundaries might misclassify you as only average. On each set of six subdomain scales it is somewhat uncommon but certainly possible to score high in some of the subdomains and low in the others. In such cases more attention should be paid to the subdomain scores than to the broad domain score.