The handbook of creative data analysis / edited Helen Kara, Dawn Murray, and Alastair Roy.

Contributor(s):

Material type: Text

TextLanguage: English Publication details: Bristol : Policy Press, 2024.Description: xxiv, 481 pages : illustrations ; 25 cmISBN:

9781447369561

Subject(s):

Additional physical formats: Electronic version:: Handbook of creative data analysis.LOC classification:

QA76.9.Q36 H36 2024

Summary: 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.

Holdings ( 1 )
Title notes ( 2 )

Holdings
Item type	Current library	Call number	Copy number	Status	Date due	Barcode
Book	TBS Barcelona	QA76.9.Q36 KAR (Browse shelf(Opens below))	1	Available		B05742

Includes bibliographical references and index.

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.