Olivia Costa
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Olivia Costa has a total of 3 co-authors. Here are the top co-authors by number of shared publications:
- Amanda Mae Woodward
University of Minnesota College of Liberal Arts
1 shared publication - Jordan R. Wagge
School of Psychology, Avila University, Kansas City, Missouri
1 shared publication - Quincey Feragen
University of Minnesota Twin Cities, United States
1 shared publication
Latest Publications
- Open Access
- 29 May 2026
- Published by Ubiquity Press, Ltd. in Journal of Open Psychology Data
- Vol. 14 (1) , 2
Data from CREP Replication of Does Money Buy Happiness, Diener et al. (2010)
This dataset results from a multi-lab replication of Diener et al. (2010) organized by the Collaborative Replication and Education Project (CREP). This project aimed to understand the relationships between different types of needs (basic needs, psychological needs, standard of living, etc.), people’s positive and negative feelings, and life evaluations. This dataset includes data collected across each site contributing to the study. It includes predictor variables associated with participants’ mood and current financial comfort. It also includes demographic data like education, gender, marital status, residential area and income. The data are stored in a. csv file to be used for additional analysis, as an educational tool, and further interdisciplinary collaboration.
- 29 May 2026
- Published by Ubiquity Press, Ltd. in Journal of Open Psychology Data
- Vol. 14 (1) , 2
Open AccessData from CREP Replication of Does Money Buy Happiness, Diener et al. (2010)
This dataset results from a multi-lab replication of Diener et al. (2010) organized by the Collaborative Replication and Education Project (CREP). This project aimed to understand the relationships between different types of needs (basic needs, psychological needs, standard of living, etc.), people’s positive and negative feelings, and life evaluations. This dataset includes data collected across each site contributing to the study. It includes predictor variables associated with participants’ mood and current financial comfort. It also includes demographic data like education, gender, marital status, residential area and income. The data are stored in a. csv file to be used for additional analysis, as an educational tool, and further interdisciplinary collaboration.