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Just Plain Data Analysis

Just Plain Data Analysis Author Gary M. Klass
ISBN-10 9781442215092
Release 2012-04-13
Pages 202
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Just Plain Data Analysis is designed to teach students statistical literacy skills that they can use to evaluate and construct arguments about public affairs issues grounded in numerical evidence. With a new chapter on statistical fallacies and updates throughout the text, the new edition teaches students how to find, interpret, and present commonly used social indicators in an even clearer and more practical way.



Principles of Data Management and Presentation

Principles of Data Management and Presentation Author John P. Hoffmann
ISBN-10 9780520289956
Release 2017-07-04
Pages 288
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-The world is saturated with data. We are regularly presented with data in words, tables, and graphics. Students from many academic fields are now expected to be educated about data in one form or another. Yet the typical sequence of courses--introductory statistics and research methods--does not provide sufficient information about data, learning to work with data sets, or how to present data to various audiences. This book is designed for these purposes. It discusses how data are used in research projects, where to get data, how to manage them with software, and how to present them so that one's message comes through clearly. With few expectations beyond some familiarity with basic statistics and research methods, this book provides a comprehensive set of principles for understanding and using data as part of a research project---Provided by publisher.



Developing Quantitative Literacy Skills in History and the Social Sciences

Developing Quantitative Literacy Skills in History and the Social Sciences Author Kathleen W. Craver
ISBN-10 9781475810523
Release 2014-07-22
Pages 190
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This book features 85 interesting and exciting multi-century and multicultural web sites that are accompanied by numerical critical thinking questions and activities. Teachers can pose the questions to their entire class or individually assign them. It also contains lists of best practices and examples for interpreting, visualizing, and displaying quantitative data. History and social sciences educators will find this book an indispensable tool for incorporating numerical literacy skills into their class activities and assignments.



Basic Research Methods

Basic Research Methods Author Gerard Guthrie
ISBN-10 9789385985843
Release 2010-07-08
Pages 252
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This book offers a comprehensive and well-rounded view of research as a tool for problem-solving in the wide range of the social sciences. It is built on the foundation of philosophical pragmatism, postulating that the value of knowledge and research methodologies lie in their usefulness in engaging with the real world. The book synthesizes both positivist and non-positivist methodologies. It is meant for students who are undertaking their first research course or project. The techniques, while basic in nature, are used in many masters and doctoral research studies. The book uses engaging language, real-life examples from various subject areas and follows an inductive approach. With the help of this book, from an experiential base, students should be able to build a more advanced conceptual and theoretical understanding of research through further reading and practice. This book discusses a policy-applied-pure-action model of research covering both quantitative and qualitative methods for case study, survey and experimental designs. It pays considerable attention to measurement principles and to data analysis techniques that make practical use of Microsoft Excel for analysis of both words and numbers. It includes a building block approach to writing, as well as the author’s thoughts on application of research in the real world.



Resources for Nursing Research

Resources for Nursing Research Author Cynthia Clamp
ISBN-10 9781847877369
Release 2005-01-11
Pages 432
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'The 4th edition of this extensive text is an outstanding resource prepared by nurses (and a librarian) for nurses. In a structured and helpful style it presents thousands of items from the literature - published papers, reports, books and electronic resources - as a clear, accessible, and most of all useful collection. The efforts to signpost and lead the reader to the sought-for information are effective and well-conceived, and the "How to use this book" section is remarkably simple...the book should be found in every nursing and health library, every research institute and centre, and close to many career researchers' desks' - RCN Research This latest edition of Resources for Nursing Research provides a comprehensive bibliography of sources on nursing research, and includes references for books, journal papers and Internet resources. Designed to act as a 'signpost' to available literature in the area, this Fourth Edition covers the disciplines of nursing, health care and the social sciences. Entries are concise, informative and accessible, and are arranged under three main sections: · 'Sources of Literature' covers the process of literature searching, including using libraries and other tools for accessing literature · 'Methods of Inquiry' includes an introduction to research, how to conceptualize and design nursing and health research, measurement and data collection, and the interpretation and presentation of data · 'The Background to Research in Nursing' encompasses the development of nursing research; the profession's responsibilities; the role of government; funding; research roles and careers; and education for research. Fully revised and updated, the Fourth Edition includes just under 3000 entries, of which 90% are new. It has extensive coverage of US, UK literature and other international resources. This new edition will be an essential guide for all those with an interest in nursing research, including students, teachers, librarians, practitioners and researchers.



Statistics Translated

Statistics Translated Author Steven R. Terrell
ISBN-10 9781462503216
Release 2012-04-02
Pages 409
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Written in a humorous and encouraging style, this text shows how the most common statistical tools can be used to answer interesting real-world questions, presented as mysteries to be solved. Engaging research examples lead the reader through a series of six steps, from identifying a researchable problem to stating a hypothesis, identifying independent and dependent variables, and selecting and interpreting appropriate statistical tests. All techniques are demonstrated both manually and with the help of SPSS software. The book provides students and others who may need to read and interpret statistically based research with the essential knowledge and skills needed to make decisions based on data. ? Pedagogical Features Include: *Checklists of key words and formulas in every chapter. *Examples of SPSS screenshots used for analyzing data. *Cautionary notes plus "Putting It All Together" section recaps. *End-of-chapter self-quizzes (with full answers and explanations). *Glossary of terms.



Evaluation Fundamentals

Evaluation Fundamentals Author Arlene Fink
ISBN-10 9781483324234
Release 2014-02-25
Pages 304
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The Third Edition of Arlene Fink’s Evaluation Fundamentals teaches the basic concepts and vocabulary necessary to do program evaluations and review the quality of evaluation research to make informed decisions about methods and outcomes to meet scientific and community needs. Dr. Fink thoroughly examines such issues as how to justify evaluation questions and set standards of effectiveness, design studies, identify best practices, and conduct ethical research. The book contains numerous examples of evaluation methods, as well as evaluation reports. It also includes practice exercises and suggested readings in print and online. Individuals can use the New Edition successfully on their own or in small or large groups. “The text is extremely well organized. . . The concepts are easy to follow and the explanations are excellent.” —Sharon K. Drake, Iowa State University “Dr. Fink did an outstanding job of introducing concepts and practice of program evaluation in a way that anyone can understand. Those who are interested in program evaluation will enjoy this book regardless of their field of study.” —Young Ik Cho, University of Wisconsin, Milwaukee “The key strength of this book is the introduction of the key concepts, terms, and considerations that are needed for an evaluation study. These introductions are concise, understandable, and in logical order.” —Richard C. Maurer, University of Kentucky



Storytelling with Data

Storytelling with Data Author Cole Nussbaumer Knaflic
ISBN-10 9781119002260
Release 2015-10-09
Pages 288
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Don't simply show your data—tell a story with it! Storytelling with Data teaches you the fundamentals of data visualization and how to communicate effectively with data. You'll discover the power of storytelling and the way to make data a pivotal point in your story. The lessons in this illuminative text are grounded in theory, but made accessible through numerous real-world examples—ready for immediate application to your next graph or presentation. Storytelling is not an inherent skill, especially when it comes to data visualization, and the tools at our disposal don't make it any easier. This book demonstrates how to go beyond conventional tools to reach the root of your data, and how to use your data to create an engaging, informative, compelling story. Specifically, you'll learn how to: Understand the importance of context and audience Determine the appropriate type of graph for your situation Recognize and eliminate the clutter clouding your information Direct your audience's attention to the most important parts of your data Think like a designer and utilize concepts of design in data visualization Leverage the power of storytelling to help your message resonate with your audience Together, the lessons in this book will help you turn your data into high impact visual stories that stick with your audience. Rid your world of ineffective graphs, one exploding 3D pie chart at a time. There is a story in your data—Storytelling with Data will give you the skills and power to tell it!



The British National Bibliography

The British National Bibliography Author Arthur James Wells
ISBN-10 STANFORD:36105211722678
Release 2009
Pages
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The British National Bibliography has been writing in one form or another for most of life. You can find so many inspiration from The British National Bibliography also informative, and entertaining. Click DOWNLOAD or Read Online button to get full The British National Bibliography book for free.



Multilevel Analysis for Applied Research

Multilevel Analysis for Applied Research Author Robert Bickel
ISBN-10 9781609181062
Release 2007-03-19
Pages 355
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This book provides a uniquely accessible introduction to multilevel modeling, a powerful tool for analyzing relationships between an individual-level dependent variable, such as student reading achievement, and individual-level and contextual explanatory factors, such as gender and neighborhood quality. Helping readers build on the statistical techniques they already know, Robert Bickel emphasizes the parallels with more familiar regression models, shows how to do multilevel modeling using SPSS, and demonstrates how to interpret the results. He discusses the strengths and limitations of multilevel analysis and explains specific circumstances in which it offers (or does not offer) methodological advantages over more traditional techniques. Over 300 dataset examples from research on educational achievement, income attainment, voting behavior, and other timely issues are presented in numbered procedural steps.



Multilevel Modeling

Multilevel Modeling Author Douglas A. Luke
ISBN-10 0761928790
Release 2004-07-08
Pages 79
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A practical introduction to multi-level modelling, this book offers an introduction to HLM & illustrations of how to use this technique to build models for hierarchical & longitudinal data.



Social Statistics

Social Statistics Author Thomas J. Linneman
ISBN-10 9781315391809
Release 2017-10-12
Pages 642
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Companion Materials Arriving Soon! With a clear and engaging writing style and strong examples from the real world, this text covers current statistical techniques at an introductory level and emphasizes the clear presentation of results to a variety of audiences, making the course more useful to students and their careers. Interconnection features among chapters help students understand how all of the techniques fit together. Using varied data sets, the text features a highly rated companion website that includes videos of the author offering step-by-step explanations of how to carry out the techniques, interpret the results, and present them to varied audiences. NEW TO THIS EDITION More inter-chapter connections have been added to improve students’ conceptual learning. Several examples (on immigration, health, and civil rights) now permeate the text for easy comparison of techniques across chapters. The section on managing data is considerably expanded to cover topics such as finding new sources of data, dealing with missing data, and how to combine data reliably. Very current examples from the scholarly literature from criminology, education, and health show how researchers use each chapter’s techniques to tell compelling stories. Instructors can choose from a variety of greatly expanded materials to enhance their lectures: engaging animations of key concepts; dynamic demonstrations of how statistics change in line with the data; short lectures on difficult-to-explain topics; and in-class exercises that will help students learn how to make sense of statistical results.



Qualitative Data Analysis from Start to Finish

Qualitative Data Analysis from Start to Finish Author Jamie Harding
ISBN-10 9781446275429
Release 2013-02-01
Pages 240
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Are you new to qualitative research? Are you planning to do interviews or focus groups and wondering what on earth you'll do with the data once it's collected? Do you have a pile of transcripts staring at you right now and are you lost as to how to identify themes, code your data and work out what it all means? Fear not, help is here! In this brilliant new book, Jamie Harding breaks down the process of analysing qualitative data into simple, retraceable steps. After providing some top tips for designing your research and collecting your data, he takes you through the different stages of analysis, from the first reading of your transcripts, to presenting your findings in a report or dissertation. For each stage of the process there are demonstrations using real data and exercises for you to perform yourself. He unpicks what happens behind the scenes in qualitative data analysis - the bit that's hard to learn without seeing it happen and trying it for yourself. While acknowledging that there are many different forms that qualitative data analysis can take, the book provides a series of ideas and examples that you will find invaluable when analysing your own data. This book is perfect for all social science students who are struggling with data analysis and are looking for someone to guide the way. Available with Perusall—an eBook that makes it easier to prepare for class Perusall is an award-winning eBook platform featuring social annotation tools that allow students and instructors to collaboratively mark up and discuss their SAGE textbook. Backed by research and supported by technological innovations developed at Harvard University, this process of learning through collaborative annotation keeps your students engaged and makes teaching easier and more effective. Learn more.



The Logic of Causal Order

The Logic of Causal Order Author James A. Davis
ISBN-10 0803925530
Release 1985-11-01
Pages 72
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This monograph is not statistical. It looks instead at pre-statistical assumptions about dependent variables and causal order. Professor Davis spells out the logical principles that underlie our ideas of causality and explains how to discover causal direction, irrespective of the statistical technique used. He stresses throughout that knowledge of the "real world" is important and repeatedly challenges the myth that causal problems can be solved by statistical calculations alone.



The Good Research Guide

The Good Research Guide Author Martyn Denscombe
ISBN-10 9780335220229
Release 2007-05-01
Pages 349
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As a best-selling introductory book on the basics of social research, The Good Research Guide provides an accessible yet comprehensive introduction to the main approaches to social research and the methods most commonly used by researchers in the social sciences. This edition has been updated to account for recent developments in the field such as: The emergence of mixed methods approaches Increased use of internet research More frequent use of methods such as triangulation and focus groups Developments in research ethics Written for anyone undertaking a small-scale research project, either as part of an academic course or as part of their professional development, this book provides: A clear, straightforward introduction to data collection methods and data analysis Explanations of the key decisions researchers need to take, with practical advice on how to make appropriate decisions Essential checklists to guide good practice This book is perfect for the first-time researcher looking for guidance on the issues they should consider and traps they should avoid when embarking on a social research project.



The Coding Manual for Qualitative Researchers

The Coding Manual for Qualitative Researchers Author Johnny Saldana
ISBN-10 9781473943582
Release 2015-11-02
Pages 368
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Lecturers, request your electronic inspection copy Johnny Saldaña’s unique and invaluable manual demystifies the qualitative coding process with a comprehensive assessment of different coding types, examples and exercises. The ideal reference for students, teachers, and practitioners of qualitative inquiry, it is essential reading across the social sciences and neatly guides you through the multiple approaches available for coding qualitative data. Its wide array of strategies, from the more straightforward to the more complex, is skillfully explained and carefully exemplified providing a complete toolkit of codes and skills that can be applied to any research project. For each code Saldaña provides information about the method's origin, gives a detailed description of the method, demonstrates its practical applications, and sets out a clearly illustrated example with analytic follow-up. Now with a companion website, the book is supported by: SAGE journal articles showing coding being applied to real research Sample transcripts highlighting coding techniques Links to CAQDAS sites to introduce relevant software Practical student exercises Links to video and digital content This international bestseller is an extremely usable, robust manual and is a must-have resource for qualitative researchers at all levels. Click here for a listing of Johnny Saldaña's upcoming workshops. Available with Perusall—an eBook that makes it easier to prepare for class Perusall is an award-winning eBook platform featuring social annotation tools that allow students and instructors to collaboratively mark up and discuss their SAGE textbook. Backed by research and supported by technological innovations developed at Harvard University, this process of learning through collaborative annotation keeps your students engaged and makes teaching easier and more effective. Learn more.



Advanced Statistics in Research

Advanced Statistics in Research Author Larry Hatcher
ISBN-10 0985867000
Release 2013
Pages 632
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"Advanced Statistics in Research: Reading, Understanding, and Writing Up Data Analysis Results" is the simple, nontechnical introduction to the most complex multivariate statistics presented in empirical research articles. "wwwStatsInResearch.com, " is a companion website that provides free sample chapters, exercises, and PowerPoint slides for students and teachers. A free 600-item test bank is available to instructors. "Advanced Statistics in Research" does not show how to "perform" statistical procedures--it shows how to read, understand, and interpret them, as they are typically presented in journal articles and research reports. It demystifies the sophisticated statistics that stop most readers cold: multiple regression, logistic regression, discriminant analysis, ANOVA, ANCOVA, MANOVA, factor analysis, path analysis, structural equation modeling, meta-analysis--and more. "Advanced Statistics in Research" assumes that you have never had a course in statistics. It begins at the beginning, with research design, central tendency, variability, z scores, and the normal curve. You will learn (or re-learn) the big-three results that are common to most procedures: statistical significance, confidence intervals, and effect size. Step-by-step, each chapter gently builds on earlier concepts. Matrix algebra is avoided, and complex topics are explained using simple, easy-to-understand examples. "Need help writing up your results?" Advanced Statistics in Research shows how data-analysis results can be summarized in text, tables, and figures according to APA format. You will see how to present the basics (e.g., means and standard deviations) as well as the advanced (e.g., factor patterns, post-hoc tests, path models, and more). "Advanced Statistics in Research" is appropriate as a textbook for graduate students and upper-level undergraduates (see supplementary materials at StatsInResearch.com). It also serves as a handy shelf reference for investigators and all consumers of research.