Creative Research Methods
Creative Research Methods

Author: Helen Kara

Publisher: Policy Press

Published: 2020-09-16

Total Pages: 320

ISBN-13: 1447356756

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Creative research methods can help to answer complex contemporary questions which are hard to answer using conventional methods alone. Creative methods can also be more ethical, helping researchers to address social injustice. This bestselling book, now in its second edition, is the first to identify and examine the five areas of creative research methods: • arts-based research • embodied research • research using technology • multi-modal research • transformative research frameworks. Written in an accessible, practical and jargon-free style, with reflective questions, boxed text and a companion website to guide student learning, it offers numerous examples of creative methods in practice from around the world. This new edition includes a wealth of new material, with five extra chapters and over 200 new references. Spanning the gulf between academia and practice, this useful book will inform and inspire researchers by showing readers why, when, and how to use creative methods in their research. Creative Research Methods has been cited over 750 times.

Creative Research Methods in the Social Sciences
Creative Research Methods in the Social Sciences

Author: Kara, Helen

Publisher: Policy Press

Published: 2015-04-10

Total Pages: 232

ISBN-13: 1447316282

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With foreword by Kenneth J. Gergen and Mary M. Gergen. Creative research methods can help to answer complex contemporary questions, which are hard to answer using traditional methods alone. Creative methods can also be more ethical, helping researchers to address social injustice. This accessible book is the first to identify and examine the four areas of creative research methods: arts-based research, research using technology, mixed-method research and transformative research frameworks. Written in a practical and jargon-free style, with over 100 boxed examples, it offers numerous examples of creative methods in practice, from the social sciences, arts, and humanities around the world. Spanning the gulf between academia and practice, this useful book will inform and inspire researchers by showing readers why, when, and how to use creative methods in their research.

The Handbook of Creative Data Analysis
The Handbook of Creative Data Analysis

Author: Helen Kara

Publisher: Policy Press

Published: 2024-09-11

Total Pages: 506

ISBN-13: 1447369580

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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 transferable case examples across disciplines. This collection offers a definitive practical guide to creative data analysis.

Qualitative Research for Quantitative Researchers
Qualitative Research for Quantitative Researchers

Author: Helen Kara

Publisher: SAGE

Published: 2022-01-12

Total Pages: 249

ISBN-13: 1529784212

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This book equips any quantitative researcher, at any level, who finds they need to use qualitative methods, with the necessary theoretical and practical skills they need to leverage their quantitative background into successful qualitative research.

The Handbook of Creative Data Analysis
The Handbook of Creative Data Analysis

Author: Helen Kara

Publisher: Policy Press

Published: 2024-09-11

Total Pages: 506

ISBN-13: 1447369564

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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 transferable case examples across disciplines. This collection offers a definitive practical guide to creative data analysis.

Creative Writing for Social Research
Creative Writing for Social Research

Author: Phillips, Richard

Publisher: Policy Press

Published: 2021-01-20

Total Pages: 224

ISBN-13: 1447356004

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This groundbreaking book brings creative writing to social research. Its innovative format includes creatively written contributions by researchers from a range of disciplines, modelling the techniques outlined by the authors. The book is user-friendly and shows readers: • how to write creatively as a social researcher; • how creative writing can help researchers to work with participants and generate data; • how researchers can use creative writing to analyse data and communicate findings. Inviting beginners and more experienced researchers to explore new ways of writing, this book introduces readers to creatively written research in a variety of formats including plays and poems, videos and comics. It not only gives social researchers permission to write creatively but also shows them how to do so.

Creative Research Methods in Education
Creative Research Methods in Education

Author: Kara, Helen

Publisher: Policy Press

Published: 2021-03-16

Total Pages: 208

ISBN-13: 1447357086

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Co-authored by an international team of experts across disciplines, this important book is one of the first to demonstrate the enormous benefit creative methods offer for education research. You do not have to be an artist to be creative, and the book encourages students, researchers and practitioners to discover and consider new ways to explore the field of education. It illustrates how using creative methods, such as poetic inquiry, comics, theatre and animation, can support learning and illuminate participation and engagement. Bridging academia and practice, the book offers: • practical advice and tips on how to use creative methods in education research; • numerous case studies from around the world providing real-life examples of creative research methods in education practice; • reflective discussion questions to support learning.

Handbook of Emergent Methods
Handbook of Emergent Methods

Author: Sharlene Nagy Hesse-Biber

Publisher: Guilford Publications

Published: 2013-10-15

Total Pages: 754

ISBN-13: 1462514804

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Social researchers increasingly find themselves looking beyond conventional methods to address complex research questions. This is the first book to comprehensively examine emergent qualitative and quantitative theories and methods across the social and behavioral sciences. Providing scholars and students with a way to retool their research choices, the volume presents cutting-edge approaches to data collection, analysis, and representation. Leading researchers describe alternative uses of traditional quantitative and qualitative tools; innovative hybrid or mixed methods; and new techniques facilitated by technological advances. Consistently formatted chapters explore the strengths and limitations of each method for studying different types of research questions and offer practical, in-depth examples.

Handbook of Statistical Analysis and Data Mining Applications
Handbook of Statistical Analysis and Data Mining Applications

Author: Ken Yale

Publisher: Elsevier

Published: 2017-11-09

Total Pages: 824

ISBN-13: 0124166458

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Handbook of Statistical Analysis and Data Mining Applications, Second Edition, is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers, both academic and industrial, through all stages of data analysis, model building and implementation. The handbook helps users discern technical and business problems, understand the strengths and weaknesses of modern data mining algorithms and employ the right statistical methods for practical application. This book is an ideal reference for users who want to address massive and complex datasets with novel statistical approaches and be able to objectively evaluate analyses and solutions. It has clear, intuitive explanations of the principles and tools for solving problems using modern analytic techniques and discusses their application to real problems in ways accessible and beneficial to practitioners across several areas—from science and engineering, to medicine, academia and commerce. - Includes input by practitioners for practitioners - Includes tutorials in numerous fields of study that provide step-by-step instruction on how to use supplied tools to build models - Contains practical advice from successful real-world implementations - Brings together, in a single resource, all the information a beginner needs to understand the tools and issues in data mining to build successful data mining solutions - Features clear, intuitive explanations of novel analytical tools and techniques, and their practical applications

R for Data Science
R for Data Science

Author: Hadley Wickham

Publisher: "O'Reilly Media, Inc."

Published: 2016-12-12

Total Pages: 521

ISBN-13: 1491910364

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Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results