Biography:Sarah Depaoli
From HandWiki
Short description: American psychologist
Sarah Depaoli | |
|---|---|
| Occupation | Academic |
| Academic background | |
| Education | University of Wisconsin, Madison (PhD) California State University, Sacramento (M.A.) (B.A.) |
| Academic work | |
| Discipline | Quantitative Psychology |
| Institutions | University of California, Merced |
Sarah Depaoli
Sarah Depaoli is an American quantitative psychologist whose research is focused in area of Bayesian statistics and structural equation modeling.[1] She is a professor of Psychological Sciences at the University of California, Merced and serves as a visiting distinguished professor at the University of Tübingen's Methods Center in Germany.[2]
Recognition and honors
In 2015, Depaoli received the Rising Star (Early Career) Award from the Association for Psychological Science.[3][4]
In 2016, she was elected as a member of the Society of Multivariate Experimental Psychology.[5]
Selected publications
Depaoli, S. (2021). Bayesian Structural Equation Modeling. Guilford Press. ISBN 978-1462547746[6]
References
- ↑ Morneau, Dominique (2021-01-11). "The making of a Primer" (in en). http://protocolsmethods.springernature.com/posts/the-making-of-a-primer.
- ↑ "Depaoli, Sarah, Prof. | University of Tübingen". https://uni-tuebingen.de/pt/fakultaeten/wirtschafts-und-sozialwissenschaftliche-fakultaet/faecher/fachbereich-sozialwissenschaften/methodenzentrum/institut/personal/depaoli-sarah-prof/.
- ↑ "Professor Named 'Rising Star' in Quantitative Psychology | University of California, Merced". https://www.ucmerced.edu/news/2016/professor-named-%E2%80%98rising-star%E2%80%99-quantitative-psychology.
- ↑ "Association for Psychological Science: APS Rising Stars". https://www.psychologicalscience.org/rising-stars/stars.cfm.
- ↑ "Dr. Sarah Depaoli – smep". https://smep.org/extended-profile/dr-sarah-depaoli.
- ↑ Khojasteh, Jam (2022-05-04). "Review of Bayesian Structural Equation Modeling: by Sarah Depaoli, New York, NY, Guilford Press, 2021, 550 pp., $75.00 (hardcover), ISBN 9781462547746; $71.25 (eTextbook)" (in en). Structural Equation Modeling 29 (3): 487–488. doi:10.1080/10705511.2021.2014334. ISSN 1070-5511. https://www.tandfonline.com/doi/full/10.1080/10705511.2021.2014334.
 |  |
