The Handbook of Creative Data Analysis (First Edition)

By: Kate Wall and Alex Morgan and Sarah Healy and David Duncan and Peter Cook and Lauren White and Dawn Wink and Katherine Davies and Claire Coleman and Steve Higgins and Neil Kenny and Erin Roberts and Jennifer Leigh and Nick Fuller and Adam Carter and Nick Pidgeon and Karen Gray and Kate Carruthers Thomas and Nicole Brown and Laura Mazzoli Smith and Jennifer Hiscock and Kathryn Coleman and Katherine Broomfield and Hazel Partington and Emmajane Milton and Andrew James Davies and Amie Hodges and Anuja Cabraal and Charlotte Barratt and Chloe East and Kyla Tully and Louise Couceiro and Mar Estupiñán Fdez. de Mesa and Melvina Woode Owusu and Makeda Gerressu and India Henry and Chantel Sealey and Gwenda Hughes and Catherine H Mercer and Melanie Roberts and Anne Collis and Naomi Clarke-Mordy and Rachel Kurtz and Shehr Bano Zaidi and Stuart Neilson and Louise Gascoine and Lauren Gawne and Jacqueline Dodding and Emma Lazenby and Merryn Thomas and Karen Henwood and Jacquie Ridge and Jessica Mannion and Abbey MacDonald and Karen Hammond and Sarah Koops and Anna McConnell and Cally Haynes and Claudia Caltagirone and Marion Kieffer and Emily Draper and Anna Slater and Kristin Hutchins and Davita Watkins and Nathalie Busschaert and Larissa K.S. von Krbek

Sign Up Now! Already a Member? Log In
You must be logged into Bookshare to access this title. Learn about membership options, or view our freely available titles.

Synopsis: 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.