Download or read book Creative Research Methods written by Helen Kara and published by Policy Press. This book was released on 2020-09-16 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Creative Research Methods in the Social Sciences written by Kara, Helen and published by Policy Press. This book was released on 2015-04-10 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book The Handbook of Creative Data Analysis written by Helen Kara and published by Policy Press. This book was released on 2024-09-11 with total page 506 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Qualitative Research for Quantitative Researchers written by Helen Kara and published by SAGE. This book was released on 2022-01-12 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book The Handbook of Creative Data Analysis written by Helen Kara and published by Policy Press. This book was released on 2024-09-11 with total page 506 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Creative Writing for Social Research written by Phillips, Richard and published by Policy Press. This book was released on 2021-01-20 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Creative Research Methods in Education written by Kara, Helen and published by Policy Press. This book was released on 2021-03-16 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Handbook of Emergent Methods written by Sharlene Nagy Hesse-Biber and published by Guilford Publications. This book was released on 2013-10-15 with total page 754 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Handbook of Statistical Analysis and Data Mining Applications written by Ken Yale and published by Elsevier. This book was released on 2017-11-09 with total page 824 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Download or read book R for Data Science written by Hadley Wickham and published by "O'Reilly Media, Inc.". This book was released on 2016-12-12 with total page 521 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Download or read book Qualitative Secondary Analysis written by Kahryn Hughes and published by SAGE. This book was released on 2019-12-02 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive guide to carrying out Qualitative Secondary Analysis (QSA) that brings together expert advice and professional insight from leading researchers who have developed innovative theories and methods of QSA. Exploring crucial components of research and analysis—such as where to find resources, how to search within a resource, and working with both paper archives and non-textual data—each chapter offers insightful case studies, links to further reading and applied helpful hints and tips to help effectively apply these innovations to further the reader’s own research. A must read for Social Science students, early career researchers and researchers new to the field of QSA, this text will help readers through every aspect of a research process using QSA, from application to implications.
Download or read book Introduction to Data Science written by Rafael A. Irizarry and published by CRC Press. This book was released on 2019-11-20 with total page 836 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to Data Science: Data Analysis and Prediction Algorithms with R introduces concepts and skills that can help you tackle real-world data analysis challenges. It covers concepts from probability, statistical inference, linear regression, and machine learning. It also helps you develop skills such as R programming, data wrangling, data visualization, predictive algorithm building, file organization with UNIX/Linux shell, version control with Git and GitHub, and reproducible document preparation. This book is a textbook for a first course in data science. No previous knowledge of R is necessary, although some experience with programming may be helpful. The book is divided into six parts: R, data visualization, statistics with R, data wrangling, machine learning, and productivity tools. Each part has several chapters meant to be presented as one lecture. The author uses motivating case studies that realistically mimic a data scientist’s experience. He starts by asking specific questions and answers these through data analysis so concepts are learned as a means to answering the questions. Examples of the case studies included are: US murder rates by state, self-reported student heights, trends in world health and economics, the impact of vaccines on infectious disease rates, the financial crisis of 2007-2008, election forecasting, building a baseball team, image processing of hand-written digits, and movie recommendation systems. The statistical concepts used to answer the case study questions are only briefly introduced, so complementing with a probability and statistics textbook is highly recommended for in-depth understanding of these concepts. If you read and understand the chapters and complete the exercises, you will be prepared to learn the more advanced concepts and skills needed to become an expert.
Download or read book The SAGE Handbook of Qualitative Research written by Norman K. Denzin and published by SAGE Publications. This book was released on 2017-01-05 with total page 1810 pages. Available in PDF, EPUB and Kindle. Book excerpt: The substantially updated and revised Fifth Edition of The SAGE Handbook of Qualitative Research by editors Norman K. Denzin and Yvonna S. Lincoln presents the state-of-the-art theory and practice of qualitative inquiry. Representing top scholars from around the world, the editors and contributors continue the tradition of synthesizing existing literature, defining the present, and shaping the future of qualitative research. The Fifth Edition contains 19 new chapters, with 16 revised—making it virtually a new volume—while retaining six classic chapters from previous editions. New contributors to this edition include Jamel K. Donnor and Gloria Ladson-Billings; Margaret Kovach; Paula Saukko; Bryant Keith Alexander; Thomas A. Schwandt and Emily F. Gates; Johnny Saldaña; Uwe Flick; Mirka Koro-Ljungberg, Maggie MacLure, and Jasmine Ulmer; Maria Elena Torre, Brett G. Stoudt, Einat Manoff, and Michelle Fine; Jack Bratich; Svend Brinkmann; Eric Margolis and Renu Zunjarwad; Annette N. Markham; Alecia Y. Jackson and Lisa A. Mazzei; Jonathan Wyatt, Ken Gale, Susanne Gannon, and Bronwyn Davies; Janice Morse; Peter Dahler-Larsen; Mark Spooner; and David A. Westbrook.
Download or read book Handbook of Regression Modeling in People Analytics written by Keith McNulty and published by CRC Press. This book was released on 2021-07-29 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: Despite the recent rapid growth in machine learning and predictive analytics, many of the statistical questions that are faced by researchers and practitioners still involve explaining why something is happening. Regression analysis is the best ‘swiss army knife’ we have for answering these kinds of questions. This book is a learning resource on inferential statistics and regression analysis. It teaches how to do a wide range of statistical analyses in both R and in Python, ranging from simple hypothesis testing to advanced multivariate modelling. Although it is primarily focused on examples related to the analysis of people and talent, the methods easily transfer to any discipline. The book hits a ‘sweet spot’ where there is just enough mathematical theory to support a strong understanding of the methods, but with a step-by-step guide and easily reproducible examples and code, so that the methods can be put into practice immediately. This makes the book accessible to a wide readership, from public and private sector analysts and practitioners to students and researchers. Key Features: 16 accompanying datasets across a wide range of contexts (e.g. academic, corporate, sports, marketing) Clear step-by-step instructions on executing the analyses Clear guidance on how to interpret results Primary instruction in R but added sections for Python coders Discussion exercises and data exercises for each of the main chapters Final chapter of practice material and datasets ideal for class homework or project work.
Download or read book Handbook of Research on Creativity and Innovation written by Zhou, Jing and published by Edward Elgar Publishing. This book was released on 2021-10-22 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: This cutting-edge Handbook takes stock of a diverse set of theoretical and methodological perspectives that address creativity, innovation, and the ways in which they intersect. Considering the development of the field, the Handbook examines current trends to chart a path forward for promising future research.
Download or read book Handbook of Graphs and Networks in People Analytics written by Keith McNulty and published by CRC Press. This book was released on 2022-06-19 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: Handbook of Graphs and Networks in People Analytics: With Examples in R and Python covers the theory and practical implementation of graph methods in R and Python for the analysis of people and organizational networks. Starting with an overview of the origins of graph theory and its current applications in the social sciences, the book proceeds to give in-depth technical instruction on how to construct and store graphs from data, how to visualize those graphs compellingly and how to convert common data structures into graph-friendly form. The book explores critical elements of network analysis in detail, including the measurement of distance and centrality, the detection of communities and cliques, and the analysis of assortativity and similarity. An extension chapter offers an introduction to graph database technologies. Real data sets from various research contexts are used for both instruction and for end of chapter practice exercises and a final chapter contains data sets and exercises ideal for larger personal or group projects of varying difficulty level. Key features: Immediately implementable code, with extensive and varied illustrations of graph variants and layouts. Examples and exercises across a variety of real-life contexts including business, politics, education, social media and crime investigation. Dedicated chapter on graph visualization methods. Practical walkthroughs of common methodological uses: finding influential actors in groups, discovering hidden community structures, facilitating diverse interaction in organizations, detecting political alignment, determining what influences connection and attachment. Various downloadable data sets for use both in class and individual learning projects. Final chapter dedicated to individual or group project examples.
Download or read book Handbook of Qualitative Organizational Research written by Kimberly D. Elsbach and published by Routledge. This book was released on 2015-11-19 with total page 721 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handbook provides a comprehensive overview of state-of-the-art, innovative approaches to qualitative research for organizational scholars. Individual chapters in each area are written by experts in a variety of fields, who have contributed some of the most innovative studies themselves in recent years. An indispensable reference guide to anyone conducting high-impact organizational research, this handbook includes innovative approaches to research problems, data collection, data analysis and interpretation, and application of research findings. The book will be of interest to scholars and graduate students in a wide variety of disciplines, including anthropology, organizational behavior, organizational theory, social psychology, and sociology
