Source Book Of Research Data

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The SAGE Sourcebook of Advanced Data Analysis Methods for Communication Research

Author : Andrew F. Hayes
Publisher : SAGE
ISBN 13 : 1412927900
Total Pages : 401 pages
Book Rating : 4.4/5 (129 download)

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Book Synopsis The SAGE Sourcebook of Advanced Data Analysis Methods for Communication Research by : Andrew F. Hayes

Download or read book The SAGE Sourcebook of Advanced Data Analysis Methods for Communication Research written by Andrew F. Hayes and published by SAGE. This book was released on 2008 with total page 401 pages. Available in PDF, EPUB and Kindle. Book excerpt: A must-have volume for every communication researcher's library, The SAGE Sourcebook of Advanced Data Analysis Methods for Communication Research provides an introductory treatment of various advanced statistical methods applied to research in the field of communication. Written by authors who use these methods in their own research, each chapter gives a non-technical overview of what the method is and how it can be used to answer communication-related questions or aide the researcher dealing with difficult data problems. Students and faculty interested in diving into a new statistical topic—such as latent growth modeling, multilevel modeling, propensity scoring, or time series analysis—will find each chapter an excellent springboard for acquiring the background needed to jump into more advanced, technical readings.

Qualitative Data Analysis

Author : Matthew B. Miles
Publisher : SAGE Publications
ISBN 13 : 1506353088
Total Pages : 549 pages
Book Rating : 4.5/5 (63 download)

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Book Synopsis Qualitative Data Analysis by : Matthew B. Miles

Download or read book Qualitative Data Analysis written by Matthew B. Miles and published by SAGE Publications. This book was released on 2018-12-13 with total page 549 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This comprehensive, practical, user-friendly book provides a wealth of data analysis strategies that are essential for any qualitative research. It is a must-have tool book for moving from data analysis to writing for publication!" –Guofang Li, University of British Columbia, Canada Miles, Huberman, and Saldaña’s Qualitative Data Analysis: A Methods Sourcebook is the authoritative text for analyzing and displaying qualitative research data. The Fourth Edition maintains the analytic rigor of previous editions while showcasing a variety of new visual display models for qualitative inquiry. Graphics are added to the now-classic matrix and network illustrations of the original co-authors. Five chapters have been substantially revised, and the appendix’s annotated bibliography includes new titles in research methods. Graduate students and established scholars from all disciplines will find this resource an innovative compendium of ideas for the representation and presentation of qualitative data. As the authors demonstrate, when researchers "think display," their analyses of social life capture the complex and vivid processes of the people and institutions studied.

R for Data Science

Author : Hadley Wickham
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491910364
Total Pages : 521 pages
Book Rating : 4.4/5 (919 download)

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Book Synopsis R for Data Science by : Hadley Wickham

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

The Reference Guide to Data Sources

Author : Julia Bauder
Publisher : American Library Association
ISBN 13 : 0838912273
Total Pages : 183 pages
Book Rating : 4.8/5 (389 download)

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Book Synopsis The Reference Guide to Data Sources by : Julia Bauder

Download or read book The Reference Guide to Data Sources written by Julia Bauder and published by American Library Association. This book was released on 2014-06-12 with total page 183 pages. Available in PDF, EPUB and Kindle. Book excerpt: This concise sourcebook takes the guesswork out of locating the best sources of data, a process more important than ever as the data landscape grows increasingly cluttered. Much of the most frequently used data can be found free online, and this book shows readers how to look for it with the assistance of user-friendly tools. This thoroughly annotated guide will be a boon to library staff at public libraries, high school libraries, academic libraries, and other research institutions, with concentrated coverage of Data sources for frequently researched subjects such as agriculture, the earth sciences, economics, energy, political science, transportation, and many more The basics of data reference along with an overview of the most useful sources, focusing on free online sources of reliable statistics like government agencies and NGOs Statistical datasets, and how to understand and make use of them How to use article databases, WorldCat, and subject experts to find data Methods for citing data Survey Documentation and Analysis (SDA) software This guide cuts through the data jargon to help librarians and researchers find exactly what they're looking for.

Computer Programs for Qualitative Data Analysis

Author : Eben Weitzman
Publisher : SAGE Publications, Incorporated
ISBN 13 :
Total Pages : 390 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis Computer Programs for Qualitative Data Analysis by : Eben Weitzman

Download or read book Computer Programs for Qualitative Data Analysis written by Eben Weitzman and published by SAGE Publications, Incorporated. This book was released on 1995-02-06 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written by qualitative researchers for qualitative researchers, and not presuming extensive computer experience, this user-friendly guide takes a critical look at the wide range of software currently available. The book gives detailed reviews of 24 programs in five major categories: text retrievers, textbase managers, code-and-retrieve programs, code-based theory-builders and conceptual network-builders. In addition, the book provides ratings of over 75 features per program. The authors also offer detailed guidance on the operation of each program, helping the reader to ask key questions about the use of the computer - the nature of the project being undertaken, what time-line analyses are planned and what worksheets are re

The Data Book

Author : Meredith Zozus
Publisher : CRC Press
ISBN 13 : 1351647733
Total Pages : 255 pages
Book Rating : 4.3/5 (516 download)

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Book Synopsis The Data Book by : Meredith Zozus

Download or read book The Data Book written by Meredith Zozus and published by CRC Press. This book was released on 2017-07-12 with total page 255 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Data Book: Collection and Management of Research Data is the first practical book written for researchers and research team members covering how to collect and manage data for research. The book covers basic types of data and fundamentals of how data grow, move and change over time. Focusing on pre-publication data collection and handling, the text illustrates use of these key concepts to match data collection and management methods to a particular study, in essence, making good decisions about data. The first section of the book defines data, introduces fundamental types of data that bear on methodology to collect and manage them, and covers data management planning and research reproducibility. The second section covers basic principles of and options for data collection and processing emphasizing error resistance and traceability. The third section focuses on managing the data collection and processing stages of research such that quality is consistent and ultimately capable of supporting conclusions drawn from data. The final section of the book covers principles of data security, sharing, and archival. This book will help graduate students and researchers systematically identify and implement appropriate data collection and handling methods.

Data Science in Education Using R

Author : Ryan A. Estrellado
Publisher : Routledge
ISBN 13 : 1000200906
Total Pages : 315 pages
Book Rating : 4.0/5 (2 download)

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Book Synopsis Data Science in Education Using R by : Ryan A. Estrellado

Download or read book Data Science in Education Using R written by Ryan A. Estrellado and published by Routledge. This book was released on 2020-10-26 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Science in Education Using R is the go-to reference for learning data science in the education field. The book answers questions like: What does a data scientist in education do? How do I get started learning R, the popular open-source statistical programming language? And what does a data analysis project in education look like? If you’re just getting started with R in an education job, this is the book you’ll want with you. This book gets you started with R by teaching the building blocks of programming that you’ll use many times in your career. The book takes a "learn by doing" approach and offers eight analysis walkthroughs that show you a data analysis from start to finish, complete with code for you to practice with. The book finishes with how to get involved in the data science community and how to integrate data science in your education job. This book will be an essential resource for education professionals and researchers looking to increase their data analysis skills as part of their professional and academic development.

Research Basics

Author : James V. Spickard
Publisher : SAGE Publications
ISBN 13 : 1483387232
Total Pages : 610 pages
Book Rating : 4.4/5 (833 download)

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Book Synopsis Research Basics by : James V. Spickard

Download or read book Research Basics written by James V. Spickard and published by SAGE Publications. This book was released on 2016-09-15 with total page 610 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Qualitative Data Analysis

Author : Matthew B. Miles
Publisher : SAGE
ISBN 13 : 1452257876
Total Pages : 409 pages
Book Rating : 4.4/5 (522 download)

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Book Synopsis Qualitative Data Analysis by : Matthew B. Miles

Download or read book Qualitative Data Analysis written by Matthew B. Miles and published by SAGE. This book was released on 2014 with total page 409 pages. Available in PDF, EPUB and Kindle. Book excerpt: Miles and Huberman's seminal text has helped thousands of graduate students and researchers find meaning from their qualitative data. New to this edition is the integration of qualitative analysis software, coverage of new approaches of inquiry, inclusion of mixed methods, and examples from a wider range of social science disciplines.

Interpreting Quantitative Data with SPSS

Author : Rachad Antonius
Publisher : SAGE
ISBN 13 : 9780761973997
Total Pages : 336 pages
Book Rating : 4.9/5 (739 download)

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Book Synopsis Interpreting Quantitative Data with SPSS by : Rachad Antonius

Download or read book Interpreting Quantitative Data with SPSS written by Rachad Antonius and published by SAGE. This book was released on 2003-01-22 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a textbook for introductory courses in quantitative research methods across the social sciences. It offers a detailed explanation of introductory statistical techniques and presents an overview of the contexts in which they should be applied.

Field Research

Author : Robert G. Burgess
Publisher : Routledge
ISBN 13 : 1134897502
Total Pages : 591 pages
Book Rating : 4.1/5 (348 download)

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Book Synopsis Field Research by : Robert G. Burgess

Download or read book Field Research written by Robert G. Burgess and published by Routledge. This book was released on 2003-09-02 with total page 591 pages. Available in PDF, EPUB and Kindle. Book excerpt: For this the fourth volume in the successful Contemporary Social Research series, Robert Burgess has provided a new resource text which will prove invaluable to those engaged in field research. The material he has chosen is drawn both from sociology and social anthropology; and the readings come from experienced researchers both in the USA and Europe. In addition, Burgess draws upon the work of historians for a special section on the use of historical materials in field research. The focus is upon the strategies, processes and problems of work in the field. Chapters by distinguished social scientists cover gaining entry, note-taking, interviewing and observing. Material on data collection is complemented by discussion of data analysis and theorising. The readings themselves are subdivided into nine sections. The first essay in each section is written by Burgess himself in order to locate the articles in a broader context and to highlight the key issues and the important questions. Burgess has also provided a review of some of the major traditions in field research and a series of brief guides to further reading on the major topics covered in each of the sections. Particular attention has been paid to the use of annotated reading lists and the preparation of a very full bibliography. Field Research: A Sourcebook and Field Manual will be an essential textbook for students of social research or field research at both the undergraduate and post-graduate levels. In addition, it will provide valuable guidance for workers in the social sciences engaged in research in the field.

Engaging Researchers with Data Management: The Cookbook

Author : Connie Clare
Publisher : Open Book Publishers
ISBN 13 : 1783748001
Total Pages : 111 pages
Book Rating : 4.7/5 (837 download)

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Book Synopsis Engaging Researchers with Data Management: The Cookbook by : Connie Clare

Download or read book Engaging Researchers with Data Management: The Cookbook written by Connie Clare and published by Open Book Publishers. This book was released on 2019-10-09 with total page 111 pages. Available in PDF, EPUB and Kindle. Book excerpt: Effective Research Data Management (RDM) is a key component of research integrity and reproducible research, and its importance is increasingly emphasised by funding bodies, governments, and research institutions around the world. However, many researchers are unfamiliar with RDM best practices, and research support staff are faced with the difficult task of delivering support to researchers across different disciplines and career stages. What strategies can institutions use to solve these problems? Engaging Researchers with Data Management is an invaluable collection of 24 case studies, drawn from institutions across the globe, that demonstrate clearly and practically how to engage the research community with RDM. These case studies together illustrate the variety of innovative strategies research institutions have developed to engage with their researchers about managing research data. Each study is presented concisely and clearly, highlighting the essential ingredients that led to its success and challenges encountered along the way. By interviewing key staff about their experiences and the organisational context, the authors of this book have created an essential resource for organisations looking to increase engagement with their research communities. This handbook is a collaboration by research institutions, for research institutions. It aims not only to inspire and engage, but also to help drive cultural change towards better data management. It has been written for anyone interested in RDM, or simply, good research practice.

Qualitative Data Analysis

Author : Matthew B. Miles
Publisher : SAGE
ISBN 13 : 9780803955400
Total Pages : 358 pages
Book Rating : 4.9/5 (554 download)

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Book Synopsis Qualitative Data Analysis by : Matthew B. Miles

Download or read book Qualitative Data Analysis written by Matthew B. Miles and published by SAGE. This book was released on 1994-01-12 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: The latest edition of this best-selling textbook by Miles and Huberman not only is considerably expanded in content, but is now available in paperback. Bringing the art of qualitative analysis up-to-date, this edition adds hundreds of new techniques, ideas and references developed in the past decade. The increase in the use of computers in qualitative analysis is also reflected in this volume. There is an extensive appendix on criteria to choose from among the currently available analysis packages. Through examples from a host of social science and professional disciplines, Qualitative Data Analysis remains the most comprehensive and complete treatment of this topic currently available to scholars and applied researchers.

American Social Attitudes Data Sourcebook, 1947-1978

Author : Philip E. Converse
Publisher : Harvard University Press
ISBN 13 : 9780674028807
Total Pages : 464 pages
Book Rating : 4.0/5 (288 download)

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Book Synopsis American Social Attitudes Data Sourcebook, 1947-1978 by : Philip E. Converse

Download or read book American Social Attitudes Data Sourcebook, 1947-1978 written by Philip E. Converse and published by Harvard University Press. This book was released on 1980 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: A unique record of trends in social and economic attitudes and perceptions held by the adult American population over the past three decades is now available for the first time in composite book form from the archives of the Survey Research Center at the University of Michigan. The volume represents a culling of sample survey items which have been repeated at multiple points since World War II, presented in clear time-series form both for the population as a whole, and for standard breakdowns by age, sex, race, and social class. Nearly 100 variables are included, ranging from subjective reports of social class location or frequency of church attendance, through racial attitudes and perceptions, to views on women's roles, work and retirement, life quality, family financial situations, the state of the national economy, government spending, and war and peace. This compendium of texts, tables, and time-series graphs shows provocative patterns of constancy and change in the social and economic perspectives of the population, complementing and illuminating "hard" population and economic data for the same period from the Census Bureau and other government sources. It is a critical reference book for sociologists, political scientists, contemporary historians, journalists, political commentators, and others.

The Coding Manual for Qualitative Researchers

Author : Johnny Saldana
Publisher : SAGE
ISBN 13 : 1446200124
Total Pages : 282 pages
Book Rating : 4.4/5 (462 download)

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Book Synopsis The Coding Manual for Qualitative Researchers by : Johnny Saldana

Download or read book The Coding Manual for Qualitative Researchers written by Johnny Saldana and published by SAGE. This book was released on 2009-02-19 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Coding Manual for Qualitative Researchers is unique in providing, in one volume, an in-depth guide to each of the multiple approaches available for coding qualitative data. In total, 29 different approaches to coding are covered, ranging in complexity from beginner to advanced level and covering the full range of types of qualitative data from interview transcripts to field notes. For each approach profiled, Johnny Saldaña discusses the method’s origins in the professional literature, a description of the method, recommendations for practical applications, and a clearly illustrated example.

Data Collection Research Methods in Applied Linguistics

Author : Heath Rose
Publisher : Bloomsbury Publishing
ISBN 13 : 1350025852
Total Pages : 313 pages
Book Rating : 4.3/5 (5 download)

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Book Synopsis Data Collection Research Methods in Applied Linguistics by : Heath Rose

Download or read book Data Collection Research Methods in Applied Linguistics written by Heath Rose and published by Bloomsbury Publishing. This book was released on 2019-11-28 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: The successful collection of data is a key challenge to obtaining reliable and valid results in applied linguistics research. Data Collection Research Methods in Applied Linguistics investigates how research is conducted in the field, encompassing the challenges and obstacles applied linguists face in collecting good data. The book explores frequently used data collection techniques, including: * interviews and focus groups * observations * stimulated recall and think aloud protocols * data elicitation tasks * corpus methods * questionnaires * validated tests and measures Each chapter focuses on one type of data collection, outlining key concepts, threats to reliability and validity, procedures for good data collection, and implications for researchers. The chapters also include exemplary research projects, showcasing and explaining for readers how the technique was used to collect data in a successfully published study. This book is an essential resource for both novice and experienced applied linguists tackling data collection techniques for the first time.

Introduction to Data Science

Author : Rafael A. Irizarry
Publisher : CRC Press
ISBN 13 : 1000708039
Total Pages : 836 pages
Book Rating : 4.0/5 (7 download)

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Book Synopsis Introduction to Data Science by : Rafael A. Irizarry

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.