Data supporting 'Featural and holistic processing can be separably impaired in disorders of face recognition: Evidence for two subtypes of developmental prosopagnosia'
datasetposted on 20.03.2020 by Rachel Bennetts, Nicola J Gregory, Jeremy Tree, Michael J. Banissy, Ebony Murray, Amanda Adams, Tegan Penton, Sarah Bate
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.
This dataset provides data for 138 participants: 47 with developmental prosopagnosia (DP); 91 control participants with no recorded face recognition deficits. Participants with DP are further classified into two groups based on the output of a cluster analysis carried out on the data (see underpinning publication for details)
For each participant, this dataset includes basic demographic details (age and gender), as well as scores on a battery of face processing tasks. This battery includes:
-Cambridge Face Memory Test (CFMT): raw scores (/72) for upright and inverted; inversion index
- Cambridge Face Perception Test (CFPT): raw and % correct scores for upright and inverted; inversion index
- Famous faces test: % correctly identified from total known identities
- Composite task: Accuracy (proportion correct) and reaction time (RT) for faces and dogs presented in aligned and misaligned conditions; alignment index for each stimulus type and measure
- Face matching: d' and RT for faces and houses, upright and inverted; inversion index for each stimulus type and measure
- Navon task: global bias index
- Jane task: d' and RT for faces with spacing and featural changes, upright and inverted; inversion index for each condition and measure
Details of tasks, conditions, and calculation of different indices are provided in the underpinning publication.