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LOTS (personality psychology)
Classification method for personality psychology assessment data sources From Wikipedia, the free encyclopedia
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LOTS is an acronym, suggested by Cattell in 1957 and later elaborated by Block, to provide a broad classification of data source for personality psychology assessment.[1]: 673 Each data source has its advantage and disadvantage. Research on personality commonly employ different data source so as to represent better the pattern of one's distinctive features.[2][3]
- L-data, refer to the life-outcome data, such as age, education, income,[4]: 481 student grades at school, criminal and conviction record[5]: 13
- O-data, refer to observational data, such as observer rating from friends and family
- T-data, refer to standardised and objective test measurement, such as scored test, physiological response, reaction times (RT), implicit association test (IAT)
- S-data, refer to self-reports, such as questionnaires, personality test, structured interview[4]: 481
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