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POST-DOC
PHILIP PARNAMETS - NYU Social Psychology Postdoctoral Fellow
Philip completed his PhD in cognitive science at Lund University and has spent two years as a postdoc with the Emotion Lab at Karolinska Institutet. His research is grounded in a broad interest in the cognitive and computational mechanisms underlying preference change, decision making and learning, especially in the moral domain. In the Social Identity and Morality lab his work focuses on dynamic models of social learning about moral agents and of moral choices generally. Philip spends his spare time creating, listening or dancing to electronic music.
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R Packages
Developed by Rémi Thériault, Ph.D
Remí’s rempsyc has been named Top 40 new CRAN packages in psychology, and it has been featured in various blogs, YouTube videos, and social media posts. His easystats packages have been downloaded over 20 million times and cited over 8k times, and received the Society for Improving Psychological Science – Mission Award.
Ecosystem for Easy Statistics
easystats: is a collection of R packages, which aims to provide a unifying and consistent framework to tame, discipline, and harness the scary R statistics and their pesky models. However, there is not (yet) an unique “easystats” way of doing data analysis. Instead, start with one package and, when you’ll face a new challenge, do check if there is an easystats answer for it in other packages. You will slowly uncover how using them together facilitates your life. And, who knows, you might even end up using them all.
Developed by Rémi Thériault
Structural Equation Modeling
lavaanExtra: Affords an alternative, vector-based syntax to lavaan, as well as other convenience functions such as naming paths and defining indirect links automatically. Also offers convenience formatting optimized for a publication and script sharing workflow.
Developed by Rémi Thériault
Convenience functions
for psychology
rempsyc: R package of convenience functions to make your workflow faster and easier. Easily customizable plots (via ggplot2), nice APA tables exportable to Word (via flextable), easily run statistical tests or check assumptions, and automatize various other tasks. Mostly geared at researchers in the psychological sciences. The package is still under active development. Feel free to open an issue to ask for help, report a bug, or request a feature.
Developed by Rémi Thériault
Tools
Developed by Steven Rathje, Ph.D
Note that this method was developed in collaboration with Dan-Mircea Mirea, Ilia Sucholutsky, Raja Marjieh, Claire Robertson, and Jay J Van Bavel.
Sentiment Analysis
with GPT
Available for:
English
Arabic
Indonesian
Turkish
Swahil
Hausa
Amharic
Yoruba
Igbo
Twi
Kinyarwanda
Tsonga