Creative research methods for data generation have expanded over recent decades and researchers are eager to take a creative approach to data analysis.
It is challenging to bring creativity into data analysis while retaining a systematic, rigorous, and ethical approach. Written by experts in the field, this handbook addresses these challenges. The chapters adapt analytical techniques in creative ways for novice and expert researchers. Existing and novel methods from analysis of quantitative data to embodied, performative, visual, written, arts-based, and collaborative analysis are featured with case examples that are transferable across disciplines.
This collection offers a definitive practical guide to creative data analysis.
