Research Basics

Research Basics
Author: James V. Spickard
Publsiher: SAGE Publications
Total Pages: 424
Release: 2016-09-15
Genre: Social Science
ISBN: 9781483387239

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Research Basics: Design to Data Analysis in Six Steps offers a fresh and creative approach to the research process based on author James V. Spickard’s decades of teaching experience. Using an intuitive six-step model, readers learn how to craft a research question and then identify a logical process for answering it. Conversational writing and multi-disciplinary examples illuminate the model’s simplicity and power, effectively connecting the “hows” and “whys” behind social science research. Students using this book will learn how to turn their research questions into results.

Research Basics

Research Basics
Author: James V. Spickard
Publsiher: SAGE Publications
Total Pages: 424
Release: 2016-09-15
Genre: Social Science
ISBN: 9781483387208

Download Research Basics Book in PDF, Epub and Kindle

Research Basics: Design to Data Analysis in Six Steps offers a fresh and creative approach to the research process based on author James V. Spickard’s decades of teaching experience. Using an intuitive six-step model, readers learn how to craft a research question and then identify a logical process for answering it. Conversational writing and multi-disciplinary examples illuminate the model’s simplicity and power, effectively connecting the “hows” and “whys” behind social science research. Students using this book will learn how to turn their research questions into results.

Basic Methods of Policy Analysis and Planning Pearson eText

Basic Methods of Policy Analysis and Planning    Pearson eText
Author: Carl Patton,David Sawicki,Jennifer Clark
Publsiher: Routledge
Total Pages: 480
Release: 2015-08-26
Genre: Political Science
ISBN: 9781317350002

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Updated in its 3rd edition, Basic Methods of Policy Analysis and Planning presents quickly applied methods for analyzing and resolving planning and policy issues at state, regional, and urban levels. Divided into two parts, Methods which presents quick methods in nine chapters and is organized around the steps in the policy analysis process, and Cases which presents seven policy cases, ranging in degree of complexity, the text provides readers with the resources they need for effective policy planning and analysis. Quantitative and qualitative methods are systematically combined to address policy dilemmas and urban planning problems. Readers and analysts utilizing this text gain comprehensive skills and background needed to impact public policy.

Doing Ethnography

Doing Ethnography
Author: Giampietro Gobo
Publsiher: SAGE
Total Pages: 376
Release: 2008-04-11
Genre: Social Science
ISBN: 9781446204153

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With regular exercises, lists of key terms and points and self-evaluation checklists, Doing Ethnography systematically describes the various phases of an ethnographic inquiry and provides numerous examples, suggestions and advice for the novice ethnographer. Ethnography seeks to understand, describe and explain the symbolic world lying beneath the social action of groups, organizations and communities. This book clearly sets out the coordinates and foundations of this increasingly popular methodology. Giampietro Gobo discusses all the major issues, including the research design, access to the field, data collection, organisation and analysis, and communication of the results.

Land of Stark Contrasts

Land of Stark Contrasts
Author: Manuel Mejido Costoya
Publsiher: Fordham University Press
Total Pages: 384
Release: 2021-04-06
Genre: Religion
ISBN: 9780823293971

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An important new volume showcasing a wide range of faith-based responses to one of today’s most pressing social issues, challenging us to expand our ways of understanding. Land of Stark Contrasts brings together the work of social scientists, ethicists, and theologians exploring the profound role of religion in understanding and responding to homelessness and housing insecurity in all corners of the United States—from Seattle, San Francisco, and Silicon Valley to Dallas and San Antonio to Washington, D.C., and Boston. Together, the essays of Land of Stark Contrasts chart intriguing ways forward for future initiatives to address the root causes of homelessness. In this way they are essential reading for practical theologians, congregational leaders, and faith-based nonprofit organizers exploring how to combine spiritual and material care for homeless individuals and other vulnerable populations. Social workers, nonprofit managers, and policy specialists seeking to understand how to partner better with faith-based organizations will also find the chapters in this volume an invaluable resource. Contributors include James V. Spickard, Manuel Mejido Costoya and Margaret Breen, Michael R. Fisher Jr., Laura Stivers, Lauren Valk Lawson, Bruce Granville Miller, Nancy A. Khalil, John A. Coleman, S.J., Jeremy Phillip Brown, Paul Houston Blankenship, María Teresa Dávila, Roberto Mata, and Sathianathan Clarke. Co-published with Seattle University’s Center for Religious Wisdom and World Affairs

Big Data Fundamentals

Big Data Fundamentals
Author: Thomas Erl,Wajid Khattak,Paul Buhler
Publsiher: Prentice Hall
Total Pages: 240
Release: 2015-12-29
Genre: Computers
ISBN: 9780134291208

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“This text should be required reading for everyone in contemporary business.” --Peter Woodhull, CEO, Modus21 “The one book that clearly describes and links Big Data concepts to business utility.” --Dr. Christopher Starr, PhD “Simply, this is the best Big Data book on the market!” --Sam Rostam, Cascadian IT Group “...one of the most contemporary approaches I’ve seen to Big Data fundamentals...” --Joshua M. Davis, PhD The Definitive Plain-English Guide to Big Data for Business and Technology Professionals Big Data Fundamentals provides a pragmatic, no-nonsense introduction to Big Data. Best-selling IT author Thomas Erl and his team clearly explain key Big Data concepts, theory and terminology, as well as fundamental technologies and techniques. All coverage is supported with case study examples and numerous simple diagrams. The authors begin by explaining how Big Data can propel an organization forward by solving a spectrum of previously intractable business problems. Next, they demystify key analysis techniques and technologies and show how a Big Data solution environment can be built and integrated to offer competitive advantages. Discovering Big Data’s fundamental concepts and what makes it different from previous forms of data analysis and data science Understanding the business motivations and drivers behind Big Data adoption, from operational improvements through innovation Planning strategic, business-driven Big Data initiatives Addressing considerations such as data management, governance, and security Recognizing the 5 “V” characteristics of datasets in Big Data environments: volume, velocity, variety, veracity, and value Clarifying Big Data’s relationships with OLTP, OLAP, ETL, data warehouses, and data marts Working with Big Data in structured, unstructured, semi-structured, and metadata formats Increasing value by integrating Big Data resources with corporate performance monitoring Understanding how Big Data leverages distributed and parallel processing Using NoSQL and other technologies to meet Big Data’s distinct data processing requirements Leveraging statistical approaches of quantitative and qualitative analysis Applying computational analysis methods, including machine learning

The Coding Manual for Qualitative Researchers

The Coding Manual for Qualitative Researchers
Author: Johnny Saldana
Publsiher: SAGE
Total Pages: 328
Release: 2012-10-04
Genre: Reference
ISBN: 9781446271421

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The Second Edition of Johnny Saldaña's international bestseller provides an in-depth guide to the multiple approaches available for coding qualitative data. Fully up to date, it includes new chapters, more coding techniques and an additional glossary. Clear, practical and authoritative, the book: -describes how coding initiates qualitative data analysis -demonstrates the writing of analytic memos -discusses available analytic software -suggests how best to use The Coding Manual for Qualitative Researchers for particular studies. In total, 32 coding methods are profiled that can be applied to a range of research genres from grounded theory to phenomenology to narrative inquiry. For each approach, Saldaña discusses the method's origins, a description of the method, practical applications, and a clearly illustrated example with analytic follow-up. A unique and invaluable reference for students, teachers, and practitioners of qualitative inquiry, this book is essential reading across the social sciences.

Basics of Qualitative Research

Basics of Qualitative Research
Author: Anselm Strauss,Juliet M. Corbin
Publsiher: SAGE Publications, Incorporated
Total Pages: 336
Release: 1998-09-29
Genre: Social Science
ISBN: 0803959397

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The Second Edition of this best-selling textbook continues to offer immensely practical advice and technical expertise that will aid researchers in analyzing and interpreting their collected data, and ultimately build theory from it. The authors provide a step-by-step guide to the research act. Full of definitions and illustrative examples, the book presents criteria for evaluating a study as well as responses to common questions posed by students of qualitative research.

Qualitative Data Analysis

Qualitative Data Analysis
Author: Ian Dey
Publsiher: Routledge
Total Pages: 304
Release: 2003-09-02
Genre: Psychology
ISBN: 9781134931460

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First Published in 2004. Routledge is an imprint of Taylor & Francis, an informa company.

Disaster Communications in a Changing Media World

Disaster Communications in a Changing Media World
Author: George Haddow,Kim S Haddow
Publsiher: Butterworth-Heinemann
Total Pages: 282
Release: 2013-12-14
Genre: Political Science
ISBN: 9780124079250

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Communications are key to the success of disaster mitigation, preparedness, response, and recovery. Accurate information disseminated to the general public, to elected officials and community leaders, as well as to the media, reduces risk, saves lives and property, and speeds recovery. Disaster Communications in a Changing Media World, Second Edition, provides valuable information for navigating these priorities in the age of evolving media. The emergence of new media like the Internet, email, blogs, text messaging, cell phone photos, and the increasing influence of first informers are redefining the roles of government and media. The tools and rules of communications are evolving, and disaster communications must also evolve to accommodate these changes and exploit the opportunities they provide. Disaster Communications in a Changing Media World, Second Edition, illuminates the path to effective disaster communication, including the need for transparency, increased accessibility, trustworthiness and reliability, and partnerships with the media. Includes case studies from recent disasters including Hurricane Sandy, the 2011 tsunami in Japan, and the Boston Marathon bombings Demonstrates how to use blogs, text messages, and cell phone cameras, as well as government channels and traditional media, to communicate during a crisis Examines current social media programs conducted by FEMA, the American Red Cross, state and local emergency managers, and the private sector Updated information in each chapter, especially on how social media has emerged as a force in disaster communications

Designing and Conducting Mixed Methods Research

Designing and Conducting Mixed Methods Research
Author: John W. Creswell,Vicki L. Plano Clark
Publsiher: SAGE Publications
Total Pages: 520
Release: 2017-08-31
Genre: Social Science
ISBN: 9781483346984

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Combining the latest thinking in the field with practical, step-by-step guidance, the Third Edition of John W. Creswell and Vicki L. Plano Clark’s Designing and Conducting Mixed Methods Research now covers seven mixed methods designs with accompanying journal articles illustrating each design. The authors walk readers through the entire research process, and present updated examples from published mixed methods studies drawn from multiple disciplines. In addition, this new edition includes information about the dynamic and evolving nature of the field of mixed methods research, four additional methodological approaches, and coverage of new directions in mixed methods.

Qualitative Research for the Social Sciences

Qualitative Research for the Social Sciences
Author: Marilyn Lichtman
Publsiher: SAGE Publications
Total Pages: 448
Release: 2013-09-11
Genre: Education
ISBN: 9781483320670

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Focusing on the integral role of the researcher, Qualitative Research for the Social Sciences uses a conversational writing style that draws readers into the excitement of the research process. Marilyn Lichtman offers a balanced and nuanced approach, covering the full range of qualitative methodologies and viewpoints about the field, including coverage of social media as a tool to facilitate research or as a venue for study. After presenting theoretical concepts and a historical overview, Lichtman guides readers, step by step, through the research process, addressing issues of analyzing data, presenting completed research, and evaluating research. Real-world examples from across the social sciences provide both practical and theoretical information, helping readers understand abstract ideas and apply them to their own research.

Keeping Up with the Quants

Keeping Up with the Quants
Author: Thomas H. Davenport,Jinho Kim
Publsiher: Harvard Business Review Press
Total Pages: 240
Release: 2013-06-11
Genre: Business & Economics
ISBN: 9781422187258

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A renowned thought-leader and a professor of statistics team up to provide the essential tools for enhancing thinking and decision-making in today's workplace in order to be more competitive and successful. 25,000 first printing.

Qualitative Text Analysis

Qualitative Text Analysis
Author: Udo Kuckartz
Publsiher: SAGE
Total Pages: 192
Release: 2014-01-23
Genre: Reference
ISBN: 9781446297766

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How can you analyse narratives, interviews, field notes, or focus group data? Qualitative text analysis is ideal for these types of data and this textbook provides a hands-on introduction to the method and its theoretical underpinnings. It offers step-by-step instructions for implementing the three principal types of qualitative text analysis: thematic, evaluative, and type-building. Special attention is paid to how to present your results and use qualitative data analysis software packages, which are highly recommended for use in combination with qualitative text analysis since they allow for fast, reliable, and more accurate analysis. The book shows in detail how to use software, from transcribing the verbal data to presenting and visualizing the results. The book is intended for Master’s and Doctoral students across the social sciences and for all researchers concerned with the systematic analysis of texts of any kind.

Mastering Machine Learning with Python in Six Steps

Mastering Machine Learning with Python in Six Steps
Author: Manohar Swamynathan
Publsiher: Apress
Total Pages: 457
Release: 2019-10-01
Genre: Computers
ISBN: 9781484249475

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Explore fundamental to advanced Python 3 topics in six steps, all designed to make you a worthy practitioner. This updated version’s approach is based on the “six degrees of separation” theory, which states that everyone and everything is a maximum of six steps away and presents each topic in two parts: theoretical concepts and practical implementation using suitable Python 3 packages. You’ll start with the fundamentals of Python 3 programming language, machine learning history, evolution, and the system development frameworks. Key data mining/analysis concepts, such as exploratory analysis, feature dimension reduction, regressions, time series forecasting and their efficient implementation in Scikit-learn are covered as well. You’ll also learn commonly used model diagnostic and tuning techniques. These include optimal probability cutoff point for class creation, variance, bias, bagging, boosting, ensemble voting, grid search, random search, Bayesian optimization, and the noise reduction technique for IoT data. Finally, you’ll review advanced text mining techniques, recommender systems, neural networks, deep learning, reinforcement learning techniques and their implementation. All the code presented in the book will be available in the form of iPython notebooks to enable you to try out these examples and extend them to your advantage. What You'll Learn Understand machine learning development and frameworksAssess model diagnosis and tuning in machine learningExamine text mining, natuarl language processing (NLP), and recommender systemsReview reinforcement learning and CNN Who This Book Is For Python developers, data engineers, and machine learning engineers looking to expand their knowledge or career into machine learning area.