Jamovi & OSF
Two terrific tools for analysis, sharing, and collaboration.
“The Jamovi project was founded to develop a free and open statistical platform which is intuitive to use, and can provide the latest developments in statistical methodology.”
Jamovi offers a delightfully usable tool with robust features. The developers have kept this concept in mind: “One of the dominant philosophies in technology design is that the technology needs to “get out of the way,” of the user.” Jamovi offers to accelerate the work of analysis leaving more time for interpretation and confirming insights. For example, an add-in module Flexplot, intelligently selects the best analysis and presentation of univariate and mulitvariate data.
In an earlier post on June 20th, we visually identified a potential relationship between temperature and TVOC. Employing Flexplot, we quickly confirm the strength and characteristics of this relationship.
Further interesting behavior is surfaced by adding RH as a predictor variable. As a best practice, Jamovi defaults to LOESS for scatter-plots. In this example, simple regression would have masked the unusual RH relationship in specific temperature ranges.
Why not implement a cross-organizational Project Management approach for your program to collect, analyze, communicate, share, and collaborate?
“OSF is a free and open source project management tool that supports researchers throughout their entire project lifecycle. As a collaboration tool, OSF helps research teams work on projects privately or make the entire project publicly accessible for broad dissemination.”
Combined with Jamovi, OSF provides a structured approach to analysis and collaboration across institutions. OSF natively opens Jamovi files (and many other types) facilitating a consistent platform for organizing project information and communication. A remarkable combination of two modern open-source solutions that can be widely adopted and embraced to accelerate learning and professional growth. OSF is equally easy-to-use and configurable to individual preferences.