Building a personality assessment tool based on existing personality questionnaires: Based on big data

Abstract

Background: From the beginning, the assessment of psychological structures was divided under two headings, one personality assessment and the other talent assessment. Therefore, measuring personality is not only effective in knowing people, but it is a fundamental and elementary topic in psychometric science. Aims: The current research was conducted with the aim of building a personality assessment tool based on existing personality questionnaires based on big data gathered from indipendent data sets. Methods: The researchers used the correspondence analysis technique in the data obtained from independent groups with 32 personality questionnaires were implemented on different groups on the web. 829,880 people voluntarily answered 1,766 questions. The sample was men and women who were able to answer a web questionnaire. Age and gender variables were considered as anchor variables. To determine the membership of each question, the cos2 index was the selection criterion. All analyzes were performed with R software. Results: The results of the research showed that personality questionnaires have two dominant dimensions, the first dimension explains 60.5% of the total inertia variance and the second dimension explains 13.7% of the total variance (p<0.001). The first dimension was named "communication with people and things" and the second dimension was named "ignoring and avoiding". Conclusion: In line with previous researches, two dominant dimensions were evaluated for personality questions and an algorithm of personality questions was obtained that can be used for premarital, clinical, career counseling, education and humanities research institutes. Many schools of psychology consider personality to have two dimensions.

Keywords

• personality
• correspondence analysis
• dimensionality
• psychometrics
• r program
• big data