Quantitative Research Collaboratory
The Quantitative Research Collaboratory (QRClab) is a team of researchers working on projects which improve and expand quantitative methods and research practices in psychology (and related) research. Projects in the lab focus on implementation and analysis of repeated-measures design, open science practices, meta-science, and computational statistics (e.g., bootstrapping). New projects on new topics are always welcome!
The QRClab is seeking graduate students and undergraduates to contribute to the research in this lab. Students will begin on a collaborative project with direct contact with the Principal Investigator, and transition to greater independence as experience and desire dictate.
Congratulations Charlotte Huang who won the 2020 UCLA Library Prize in Science, Engineering, and Math!
QRClab members, Valerie Polad and Zach Loran, presented their research at the 2020 Undergraduate Research Week!
Congratulations Valerie Polad! Newest QRClab member as part of the PROPS program. Learn more about PROPS here.
Graduate Students: Please email me if you are interested in getting involved in the lab. I will not be accepting applications for Fall 2020.
Current Graduate Students
Jessica Fossum - 2nd year PhD Student
Jessica is a second-year graduate student at UCLA in the Department of Psychology — Quantitative Area, advised by Dr. Amanda K. Montoya. She graduated with a B.A. in Psychology and a B.S. in Applied Mathematics from Seattle Pacific University in 2019. She is particularly interested in statistical power and how it is determined in moderation, mediation, and moderated mediation models.
Tristan Tibbe - 2nd year PhD Student
Tristan is a second-year graduate student in the Quantitative Area of the Psychology Department at UCLA. He received a Bachelor of Science Degree with majors in Psychology and Mathematics and minors in Statistics and Spanish from Central Michigan University in 2018. He is currently interested in investigating and applying statistical methods to promote open science and enhance replicability.
Zach Loran (Statistics, Geography)
Yihuan (Charlotte) Huang (Applied Mathematics, Cognitive Sciences)
Kat Lamarque-Navarrete (Psychology)
Valerie Polad (Psychology, Class of 2020)
Kevin Le (Cognitive Sciences, Class of 2020)
Anjum Farook (Psychology, Class of 2020)