Charissa Cheah Siew Lyng
@charissacheahphd.bsky.social
Cultural Developmental Scientist | President of the Society for Research on Adolescence | Prof. of Psych @ UMBC | Studies development across cultures and contexts, parenting, race, identity, well-being |
I haven’t been on Bluesky for at least a few months, but I want to be more active in the space. So, hello again!
February 20, 2025 at 7:35 PM
I haven’t been on Bluesky for at least a few months, but I want to be more active in the space. So, hello again!
Reposted by Charissa Cheah Siew Lyng
This data visualization paper our team published was conceptualized, analyzed, written, & published in the shortest timeframe in my career, and it’s already been downloaded 700+ times in 3 weeks. Sometimes pictures are really worth a 1000 words journals.sagepub.com/doi/full/10....
Mapping Anti-Asian Xenophobia: State-Level Variation in Implicit and Explicit Bias against Asian Ame...
Using national data from Project Implicit, the authors examine state-level variations in implicit and explicit bias against Asian Americans held by non–Asian Am...
journals.sagepub.com
November 20, 2024 at 4:47 PM
This data visualization paper our team published was conceptualized, analyzed, written, & published in the shortest timeframe in my career, and it’s already been downloaded 700+ times in 3 weeks. Sometimes pictures are really worth a 1000 words journals.sagepub.com/doi/full/10....
Reposted by Charissa Cheah Siew Lyng
Any analysis of replication and trust in science that does not consider the role of publication bias, questionable research practices, etc. is woefully inadequate. This discussion of epistemic iteration assumes a well-functioning science, which is very much not the case.
Brilliant new paper argues against the "don't trust the research" narrative in the replication crisis literature.
#PhilSci #MetaSci #DevPsyc #Psychology 🧪
philsci-archive.pitt.edu/22679/
#PhilSci #MetaSci #DevPsyc #Psychology 🧪
philsci-archive.pitt.edu/22679/
October 25, 2023 at 1:41 PM
Any analysis of replication and trust in science that does not consider the role of publication bias, questionable research practices, etc. is woefully inadequate. This discussion of epistemic iteration assumes a well-functioning science, which is very much not the case.