Laying personality BARE: Behavioral frequencies strengthen personality-criterion relationships
| dc.contributor.author | Elleman, Lorien G. | |
| dc.contributor.author | Condon, David M. | |
| dc.contributor.author | Revelle, William | |
| dc.date.accessioned | 2022-07-13T18:38:51Z | |
| dc.date.available | 2022-07-13T18:38:51Z | |
| dc.date.issued | 2020-08-24 | |
| dc.description | 31 pages | en_US |
| dc.description.abstract | Personality consists of stable patterns of cognitions, emotions, and behaviors, yet personality psychologists rarely study behaviors. Even when examined, behaviors typically are considered to be validation criteria for traditional personality items. In the current study (N = 332,489), we conceptualize (self-reported, yearlong) behavioral frequencies as measures of personality. We investigate whether behavioral frequencies have incremental validity over traditional personality items in correlating personality with six outcome criteria. We use BISCUIT, a statistical learning technique, to find the optimal number of items for each criterion’s model, across three pools of items: traditional personality items (k = 696), behavioral frequencies (k = 425), and a combined pool. Compared to models using only traditional personality items, models using the combined pool are more strongly correlated to four criteria. We find mixed evidence of congruence between the type of criterion and the type of personality items that are most strongly correlated with it (e.g., behavioral criteria are most strongly correlated to behavioral frequencies). Findings suggest that behavioral frequencies are measures of personality that offer a unique effect in describing personality-criterion relationships beyond traditional personality items. We provide an updated, public-domain item pool of behavioral frequencies: the BARE (Behavioral Acts, Revised and Expanded) Inventory. | en_US |
| dc.identifier.citation | Elleman, L. G., Condon, D. M., & Revelle, W. (2020, August 24). Laying personality BARE: Behavioral frequencies strengthen personality-criterion relationships. https://doi.org/10.31234/osf.io/yufne | en_US |
| dc.identifier.doi | https://doi.org/10.31234/osf.io/yufne | en_US |
| dc.identifier.uri | https://hdl.handle.net/1794/27450 | |
| dc.identifier.uri | https://psyarxiv.com/yufne/ | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | PsyArXiv | en_US |
| dc.rights | Creative Commons BY-NC-ND 4.0-US | en_US |
| dc.subject | Behavior | en_US |
| dc.subject | Behavioral frequency | en_US |
| dc.subject | Machine learning | en_US |
| dc.subject | Nuance | en_US |
| dc.subject | Personality | en_US |
| dc.subject | Statistical learning | en_US |
| dc.title | Laying personality BARE: Behavioral frequencies strengthen personality-criterion relationships | en_US |
| dc.type | Article | en_US |