Statistical analysis in JASP: A guide for students
JASP stands for Jeffrey’s Amazing Statistics Programin recognition of the pioneer of Bayesian inference Sir Harold Jeffreys. This is a freemulti-platform open-source statistics package, developed and continually updated by a group of researchers at the University of Amsterdam. They aimedto develop a free, open-source programme that includes both standard and more advanced statistical techniques with a major emphasis on providing a simple intuitive user interface.
In contrast to many statistical packages, JASP provides a simple drag and drop interface, easy access menus, intuitive analysis with real-time computation and display of all results. All tables and graphs are presented in APA format and can be copied directly and/or saved independently. Tables can also be exported from JASP in LaTeX format
JASP can be downloaded free from the website https://jasp-stats.org/ and is available for Windows, Mac OS X andLinux. You can also download a pre-installed Windows version that will run directly from a USB or external hard drive without the need to install it locally. The WIX installer for Windows enablesyou to choose a path for the installation of JASP –however, this may be blocked in some institutions by local Administrative rights.
The programme also includes a data library with an initial collection of over 50 datasets from Andy Fields book, Discovering Statistics using IBM SPSS statistics1and The Introduction to the Practice of Statistics2by Moore, McCabe and Craig.
Since May 2018 JASP can also be run directly in your browser via rollApp™withouthaving to install it on your computer (https://www.rollapp.com/app/jasp). However, this may not be the latestversionof JASP.
Keep an eye on the JASP site since there are regular updates as well as helpful videos and blog posts!!
This bookis a collectionof standalone handouts covering the most common standard (frequentist) statistical analyses used by students studying Biological Sciences. Datasets used in this document are available for download from https://osf.io/bx6uv/
Centre for Science and Medicine in SportExercise
University of Greenwich