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Big Five validity: Aggregation method matters
Author(s) -
Warr Peter,
Bartram Dave,
Brown Anna
Publication year - 2005
Publication title -
journal of occupational and organizational psychology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.257
H-Index - 114
eISSN - 2044-8325
pISSN - 0963-1798
DOI - 10.1348/096317905x53868
Subject(s) - psychology , scale (ratio) , construct (python library) , statistics , personality , social psychology , construct validity , personality test , big five personality traits , econometrics , psychometrics , test validity , mathematics , clinical psychology , computer science , geography , cartography , programming language
Correlations between Big Five personality factors and other variables have been examined in three different ways: direct scoring of items within a factor, application of a composite score formula, and taking the average of single‐scale correlations. Those methods were shown to yield consistently different outcomes in four sets of data from sales‐people and managers. Factor correlations with job performance were greatest for direct scoring, and were reduced by half when scale correlations were averaged. The insertion of previously suggested estimates into the composite score formula yielded intermediate correlations with performance. It is necessary to interpret summary accounts of correlations with a compound construct in the light of the aggregation method employed.