Super-recognisers and controls - own-race and cross-race memory and matching dataset
datasetposted on 10.07.2018 by Rachel Bennetts, Sarah Bate, Nabil Hasshim, Emma Portch, Ebony Murray, Edwin Burns, Gavin Dudfield
Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.
Contains data from two tests of face memory (one with Caucasian faces; one with Chinese faces) and four tests of face matching (Caucasian, Asian, Middle Eastern/Arab, and Black faces).
Data for memory tests is percent correct. Data for matching tests is presented as percent hits (correctly identifying matches); percent CRs (correctly rejecting incorrect matches), percent overall accuracy, and the signal detection measures A and b (sensitivity and bias, respectively).
Data is presented for three groups of participants: Caucasian "super-recognisers" (who show extraordinary face recognition abilities); Caucasian typical perceivers; Asian typical perceivers (for Caucasian and Asian memory and matching tests only).