Daniel R Cavagnaro
Biographic Data
| ID | 2253490 |
|---|---|
| NAME | Daniel R Cavagnaro |
| GIVEN NAMES | Daniel R |
| FAMILY NAME | Cavagnaro |
| SIGNATURE | CAVAGNARO D R |
| AFFILIATIONS | California State University, Fullerton |
| ORCID | 0000-0001-5945-1269 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2015 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
The Challenges and Solutions of In‐Person Big‐Team Science
Big‐Team Science (BTS) offers a powerful framework for advancing psychological research through large‐scale collaboration, yet the unique challenges of conducting in‐person BTS studies remain under‐examined. This manuscript draws on the Psychological Science Accelerator's in‐person stereotype threat study, which involved 2500+ Black undergraduate students at over 20 U.S. universities, to illustrate these challenges and solutions in action. The pr…
Choose for others as you would choose for yourself? A layered analysis of probabilistic preferential choice across social distances
The present study examines the effect of social distance on choice behavior through the lens of a probabilistic modeling framework. In an experiment, participants made incentive-compatible choices between lotteries in three different social distance conditions: self, friend, and stranger. We conduct a layered, within-subjects analysis that considers four properties of preferential choice. These properties vary in their granularity. At the coarses…
Computational Approaches to Model Evaluation
No prominent works on this page.
Computational Approaches to Model Evaluation
Choose for others as you would choose for yourself? A layered analysis of probabilistic preferential choice across social distances
The present study examines the effect of social distance on choice behavior through the lens of a probabilistic modeling framework. In an experiment, participants made incentive-compatible choices between lotteries in three different social distance conditions: self, friend, and stranger. We conduct a layered, within-subjects analysis that considers four properties of preferential choice. These properties vary in their granularity. At the coarses…
The Challenges and Solutions of In‐Person Big‐Team Science
Big‐Team Science (BTS) offers a powerful framework for advancing psychological research through large‐scale collaboration, yet the unique challenges of conducting in‐person BTS studies remain under‐examined. This manuscript draws on the Psychological Science Accelerator's in‐person stereotype threat study, which involved 2500+ Black undergraduate students at over 20 U.S. universities, to illustrate these challenges and solutions in action. The pr…
Computer Science (2 works) · Artificial Intelligence (1 work) · Bayesian Methods and Mixture Models (1 work) · Behavioral Health and Interventions (1 work) · Behavioural sciences (1 work) · Combinatorics (1 work) · Decision-Making and Behavioral Economics (1 work) · Digital Mental Health Interventions (1 work) · Econometrics (1 work) · Economics (1 work)