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Exploring the persome: The power of the item in understanding personality structure
- Source :
- Personality and Individual Differences. 169:109905
- Publication Year :
- 2021
- Publisher :
- Elsevier BV, 2021.
-
Abstract
- We discuss methods of data collection and analysis that emphasize the power of individual personality items for predicting real world criteria (e.g., smoking, exercise, self-rated health). These methods are borrowed by analogy from radio astronomy and human genomics. Synthetic Aperture Personality Assessment (SAPA) applies a matrix sampling procedure that synthesizes very large covariance matrices through the application of massively missing at random data collection. These large covariance matrices can be applied, in turn, in Persome Wide Association Studies (PWAS) to form personality prediction scores for particular criteria. We use two open source data sets (N=4,000 and 126,884 with 135 and 696 items respectively) for demonstrations of both of these procedures. We compare these procedures to the more traditional use of “Big 5” or a larger set of narrower factors (the “little 27”). We argue that there is more information at the item level than is used when aggregating items to form factorially derived scales.
- Subjects :
- Information retrieval
Data collection
media_common.quotation_subject
05 social sciences
Analogy
Sampling (statistics)
050109 social psychology
Covariance
Missing data
050105 experimental psychology
Set (abstract data type)
Personality
0501 psychology and cognitive sciences
Psychology
General Psychology
Synthetic Aperture Personality Assessment
media_common
Subjects
Details
- ISSN :
- 01918869
- Volume :
- 169
- Database :
- OpenAIRE
- Journal :
- Personality and Individual Differences
- Accession number :
- edsair.doi...........60217329503aceea5c0a4b16f1055e5f
- Full Text :
- https://doi.org/10.1016/j.paid.2020.109905