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摘要: Correlations between Big Five personality factors and other variables have been examined in three different ways: direct scoring of items within a factor, application composite score formula, taking the average single-scale correlations. Those methods were shown to yield consistently outcomes four sets data from sales-people managers. Factor correlations with job performance greatest for scoring, reduced by half when scale averaged. The insertion previously suggested estimates into formula yielded intermediate performance. It is necessary interpret summary accounts compound construct light aggregation method employed. Representing multiple aspects through framework has important settings. Drawing on previous findings, meta-analytic reviews examined, example, associations each factor overall meta-analyses varied procedure adopted combine research findings across studies, it examine implications that methodological inconsistency. This paper will consider principal aggregation, illustrate their two analyses. Average scores (for several studies) computed ways. A first approach (here termed ‘Method 1’) based summing or averaging item scores. In case inventories designed explicitly provide five referred as ‘FFM’ measures, ‘five-factor model’), simple within-scale (i.e. within-factor) yields straightforward manner. with, say, can then be computed, an correlation calculated studies. was used metaanalysis Hurtz Donovan (2000) summarize about correlates performance; all review had index factors.