An Interactive Workshop on Initial Data Analysis (in person)

THIS WORKSHOP IS FULL

Initial Data Analysis (IDA) consists of all steps performed on study data between the end of the data collection and the start of statistical analyses that address research questions. The value of an effective IDA strategy lies in ensuring that data are of sufficient quality, confirming that assumptions made in the proposed analysis strategy are satisfied and adequately documented, and supporting informed decisions for the statistical analyses.  Systematic approaches to IDA can help researchers identify key properties of their data, avoid hypothesis generating and data-dredging, and ultimately save time and effort during statistical analyses by creating an analysis-ready dataset and informed analysis strategy based on IDA.

In this interactive workshop, participants are guided on how to conduct IDA data screening using data on Pokémon, a popular gaming franchise. More than 1000 different Pokémon species exist and several statistics describing characteristics of each species are available, including their weight, height, type, battle abilities, evolutionary family/phase and more.  

A preprint on general initial data analysis checklist is here: https://www.researchsquare.com/article/rs-3580334/v1). R code will be provided to participants to guide the IDA process. 

Prerequisite: Knowledge of R software  (e.g. Introduction to R CSTAT seminars in February).