Statistics

Author: Joseph F. Healey

Publisher: N.A

ISBN: 9780495595199

Category: Social sciences

Page: 544

View: 706

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STATISTICS: A TOOL FOR SOCIAL RESEARCH, 8e, International Edition, is a comprehensive, reader-friendly text that uses real-world examples, engaging exercises, and special features in every chapter to help even the most math-averse students succeed in a required statistics course. At the same time, this versatile text is appropriate for more advanced students in diverse social science disciplines, providing an accessible, well-balanced introduction to fundamental concepts of statistics and their practical application to a wide variety of contemporary social issues. The text covers hand calculations and the use of computers, providing a solid grounding in both traditional formulas and the latest SPSS statistical software package. Healey effectively breaks down even complex material to help students master key concepts and hone the skills they will need to succeed as professionals in a social science field--or simply to become "statistically literate," intelligent consumers of social research.

The Essentials of Statistics: A Tool for Social Research

Author: Joseph F. Healey

Publisher: Cengage Learning

ISBN: 1305445740

Category: Social Science

Page: 480

View: 3929

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Framed in a student-friendly writing style, this text presents the essentials of statistics with an applied approach. Author Joseph Healey encourages skill development for statistical literacy, emphasizing computational competence and the ability to read social science literature with greater comprehension. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Statistics: A Tool for Social Research

Author: Joseph F. Healey

Publisher: Cengage Learning

ISBN: 1305142950

Category: Social Science

Page: 544

View: 5616

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Packed with everyday examples of statistics in the real world, STATISTICS: A TOOL FOR SOCIAL RESEARCH, 10e, provides a reader-friendly introduction to the fundamental concepts of statistics and their practical application to a wide variety of contemporary social issues. Using myriad examples of statistics from daily life, the text demonstrates that statistics are not just abstract mathematical constructs but have practical value in government, education, business, media, politics, sports, and much more. STATISTICS helps you understand the importance of statistical fundamentals in research without requiring advanced mathematical knowledge. It supports effective learning for both math-averse beginners as well as more advanced students in diverse social science disciplines. Focusing on the application of computational research in favor of the computations themselves, the text fully integrates with the most current version of IBM's SPSS software and labels end-of-chapter SPSS problems by the discipline from which they are drawn. The author breaks down even the most complex material to help you master key concepts and develop the skills you need to succeed as a professional in a social science field-or simply to become a “statistically literate” consumer of social research. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Social Statistics for a Diverse Society

Author: Chava Frankfort-Nachmias,Anna Leon-Guerrero

Publisher: SAGE Publications

ISBN: 1506347223

Category: Social Science

Page: 544

View: 5117

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This Eighth Edition of Social Statistics for a Diverse Society continues to emphasize intuition and common sense, while demonstrating that social science is a constant interplay between methods of inquiry and important social issues. Recognizing that today’s students live in a world of growing diversity and richness of social differences, authors Chava Frankfort-Nachmias and Anna Leon-Guerrero use research examples that show how statistics is a tool for understanding the ways in which race, class, gender, and other categories of experience shape our social world and influence social behavior. In addition, guides for reading and interpreting the research literature help students acquire statistical literacy, while SPSS demonstrations and a rich variety of exercises help them hone their problem-solving skills.

Applied Social Research: A Tool for the Human Services

Author: Duane R. Monette,Thomas J. Sullivan,Cornell R. DeJong

Publisher: Cengage Learning

ISBN: 1285605721

Category: Social Science

Page: 592

View: 4877

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Presenting social science research methods within the context of human service practice, APPLIED SOCIAL RESEARCH is the ideal text for courses focused on applied research in human services, counseling, social work, sociology, criminal justice, and community planning. With in-depth coverage of all the topics taught in traditional social science research methods courses, APPLIED SOCIAL RESEARCH brings the subject to life by showing how research is increasingly used in practice today. In addition, this fully updated edition includes a thought-provoking Eye on Ethics feature and new and revised Research in Practice vignettes. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

SAS Essentials

Mastering SAS for Data Analytics

Author: Alan C. Elliott,Wayne A. Woodward

Publisher: John Wiley & Sons

ISBN: 111904216X

Category: Computers

Page: 520

View: 3930

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SAS Essentials: A Guide to Mastering SAS, Second Edition features a step-by-step approach to data analysis and interpretation and provides a foundational introduction to SAS statistical software. SAS is considered the premiere statistical data analysis tool for scientific research worldwide. This textbook teaches SAS from the ground up using plentiful examples for clear comprehension and also serves as a valuable reference tool for any researcher new to SAS. Developed from over twenty years of teaching introductory SAS courses for scientific researchers and over 50 combined years of teaching and consulting by the authors, this book is designed with the novice user in mind. The authors divide the book into two main parts: the first section was written with novice users in mind and includes data manipulation and statistical techniques for a first semester course in statistics. The second section was designed for instructors requiring a second semester of statistical analysis. Chapters are self-contained so instructors can select content accordingly based on enrollment, and data sets and PowerPoint slides are available via the book's related website.

Statistics for the Social Sciences

Author: Russell T. Warne

Publisher: Cambridge University Press

ISBN: 1107576970

Category: Mathematics

Page: 601

View: 4905

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This introductory undergraduate textbook is the first statistics textbook built around the General Linear Model.

The Chicago Guide to Writing about Numbers

Author: Jane E. Miller

Publisher: University of Chicago Press

ISBN: 9780226526324

Category: Reference

Page: 312

View: 4480

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People who work well with numbers are often stymied by how to write about them. Those who don't often work with numbers have an even tougher time trying to put them into words. For instance, scientists and policy analysts learn to calculate and interpret numbers, but not how to explain them to a general audience. Students learn about gathering data and using statistical techniques, but not how to write about their results. And readers struggling to make sense of numerical information are often left confused by poor explanations. Many books elucidate the art of writing, but books on writing about numbers are nonexistent. Until now. Here, Jane Miller, an experienced research methods and statistics teacher, gives writers the assistance they need. The Chicago Guide to Writing about Numbers helps bridge the gap between good quantitative analysis and good expository writing. Field-tested with students and professionals alike, this book shows writers how to think about numbers during the writing process. Miller begins with twelve principles that lay the foundation for good writing about numbers. Conveyed with real-world examples, these principles help writers assess and evaluate the best strategy for representing numbers. She next discusses the fundamental tools for presenting numbers—tables, charts, examples, and analogies—and shows how to use these tools within the framework of the twelve principles to organize and write a complete paper. By providing basic guidelines for successfully using numbers in prose, The Chicago Guide to Writing about Numbers will help writers of all kinds clearly and effectively tell a story with numbers as evidence. Readers and writers everywhere will be grateful for this much-needed mentor.

Statistics As Principled Argument

Author: Robert P. Abelson

Publisher: Psychology Press

ISBN: 1135694419

Category: Psychology

Page: 240

View: 619

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In this illuminating volume, Robert P. Abelson delves into the too-often dismissed problems of interpreting quantitative data and then presenting them in the context of a coherent story about one's research. Unlike too many books on statistics, this is a remarkably engaging read, filled with fascinating real-life (and real-research) examples rather than with recipes for analysis. It will be of true interest and lasting value to beginning graduate students and seasoned researchers alike. The focus of the book is that the purpose of statistics is to organize a useful argument from quantitative evidence, using a form of principled rhetoric. Five criteria, described by the acronym MAGIC (magnitude, articulation, generality, interestingness, and credibility) are proposed as crucial features of a persuasive, principled argument. Particular statistical methods are discussed, with minimum use of formulas and heavy data sets. The ideas throughout the book revolve around elementary probability theory, t tests, and simple issues of research design. It is therefore assumed that the reader has already had some access to elementary statistics. Many examples are included to explain the connection of statistics to substantive claims about real phenomena.

Quantitative Social Science

An Introduction

Author: Kosuke Imai

Publisher: Princeton University Press

ISBN: 1400885256

Category: Social Science

Page: 432

View: 7960

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Quantitative analysis is an increasingly essential skill for social science research, yet students in the social sciences and related areas typically receive little training in it—or if they do, they usually end up in statistics classes that offer few insights into their field. This textbook is a practical introduction to data analysis and statistics written especially for undergraduates and beginning graduate students in the social sciences and allied fields, such as economics, sociology, public policy, and data science. Quantitative Social Science engages directly with empirical analysis, showing students how to analyze data using the R programming language and to interpret the results—it encourages hands-on learning, not paper-and-pencil statistics. More than forty data sets taken directly from leading quantitative social science research illustrate how data analysis can be used to answer important questions about society and human behavior. Proven in the classroom, this one-of-a-kind textbook features numerous additional data analysis exercises and interactive R programming exercises, and also comes with supplementary teaching materials for instructors. Written especially for students in the social sciences and allied fields, including economics, sociology, public policy, and data science Provides hands-on instruction using R programming, not paper-and-pencil statistics Includes more than forty data sets from actual research for students to test their skills on Covers data analysis concepts such as causality, measurement, and prediction, as well as probability and statistical tools Features a wealth of supplementary exercises, including additional data analysis exercises and interactive programming exercises Offers a solid foundation for further study Comes with additional course materials online, including notes, sample code, exercises and problem sets with solutions, and lecture slides

Natural Experiments in the Social Sciences

A Design-Based Approach

Author: Thad Dunning

Publisher: Cambridge University Press

ISBN: 1107017661

Category: Business & Economics

Page: 358

View: 9409

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The first comprehensive guide to natural experiments, providing an ideal introduction for scholars and students.

Handbook of Research Design and Social Measurement

Author: Delbert C. Miller,Neil J. Salkind

Publisher: SAGE

ISBN: 9780761920465

Category: Business & Economics

Page: 786

View: 6687

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"If a student researcher had only one handbook on their bookshelf, Miller and Salkind's Handbook would certainly have to be it. With the updated material, the addition of the section on ethical issues (which is so well done that I'm recommending it to the departmental representative to the university IRB), and a new Part 4 on "Qualitative Methods", the new Handbook is an indispensable resource for researchers." Dan Cover, Department of Sociology, Furman University The book considered a "necessity" by many social science researchers and their students has been revised and updated while retaining the features that made it so useful. The emphasis in this new edition is on the tools with which graduate students and more advanced researchers need to become familiar as well as be able to use in order to conduct high quality research.

Statistics for Social Sciences

Author: T. Rajaretnam

Publisher: SAGE Publishing India

ISBN: 9351506568

Category:

Page: 308

View: 2034

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A comprehensive guide to the practical applications of statistics in social sciences This book brings out the relevance of statistical tools and methods in social sciences. Describing the various statistical techniques, it highlights their purpose and application along with a brief overview on how to interpret results and draw inferences. Topical and up-to-date, it examines: • different types of statistical variables and their treatment • tabulation and graphical presentation of data • theoretical distributions and common parametric and non-parametric tests, including analysis of variance and correlation ratio • linear regression including checking for violation of assumptions, transformations of variables and predictions • inequality measures such as Lorenz curve, Gini coefficient, dissimilarity index and human development index among others. It will be indispensable for students and scholars of statistics, econometrics, psychology and those interested in the application of statistics in social sciences.

Sg Stat Tool F/Soc Res

Author: Healey

Publisher: N.A

ISBN: 9780534557867

Category: Family & Relationships

Page: 248

View: 5205

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Written by Rebecca L. Davis, each chapter of the Study Guide includes learning objectives, chapter summaries, 15-20 multiple-choice questions, 10-15 work problems with detailed answer explanations, and data analysis exercises for SPSS and MicroCase. Easy to read and easy to understand, the supplement uses examples from contemporary social problems to maximize student understanding of the concepts presented in the main text.

Statistics for Research

With a Guide to SPSS

Author: George Argyrous

Publisher: SAGE

ISBN: 9781446245163

Category: Reference

Page: 608

View: 8753

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This fully updated edition of Statistics for Research explains statistical concepts in a straight-forward and accessible way using practical examples from a variety of disciplines. If you're looking for an easy-to-read, comprehensive introduction to statistics with a guide to SPSS, this is the book for you! The new edition features: - Clear explanations of all the main techniques of statistical analysis - A brand new student-friendly, easy-to-navigate design - Even more step-by-step screenshots of SPSS commands and outputs - An extensive glossary of terms, ideal for those new to statistics - End of chapter exercises to help you put your learning into practice - A new, fully updated companion website (www.uk.sagepub.com/argyrous3) with comprehensive student and lecturer resources including additional, discipline specific examples and online readings and WebCT/Blackboard quizzes. This is the ideal textbook for any course in statistical methods across the health and social sciences and a perfect starter book for students, researchers and professionals alike.

The SAGE Dictionary of Statistics

A Practical Resource for Students in the Social Sciences

Author: Duncan Cramer,Dennis Howitt

Publisher: SAGE

ISBN: 9780761941385

Category: Social Science

Page: 188

View: 7810

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The SAGE Dictionary of Statistics provides students and researchers with an accessible and definitive resource to use when studying statistics in the social sciences, reading research reports and undertaking data analysis.

An Introduction to Statistical Learning

with Applications in R

Author: Gareth James,Daniela Witten,Trevor Hastie,Robert Tibshirani

Publisher: Springer Science & Business Media

ISBN: 1461471389

Category: Mathematics

Page: 426

View: 3653

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An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.

Statistics with R

A Beginner's Guide

Author: Robert Stinerock

Publisher: SAGE

ISBN: 152642147X

Category: Social Science

Page: 392

View: 8715

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The dynamic, student focused textbook provides step-by-step instruction in the use of R and of statistical language as a general research tool. It is ideal for anyone hoping to: Complete an introductory course in statistics Prepare for more advanced statistical courses Gain the transferable analytical skills needed to interpret research from across the social sciences Learn the technical skills needed to present data visually Acquire a basic competence in the use of R. The book provides readers with the conceptual foundation to use applied statistical methods in everyday research. Each statistical method is developed within the context of practical, real-world examples and is supported by carefully developed pedagogy and jargon-free definitions. Theory is introduced as an accessible and adaptable tool and is always contextualized within the pragmatic context of real research projects and definable research questions. Author Robert Stinerock has also created a wide range of online resources, including: R scripts, complete solutions for all exercises, data files for each chapter, video and screen casts, and interactive multiple-choice quizzes.

Dictionary of Statistics & Methodology

A Nontechnical Guide for the Social Sciences

Author: W. Paul Vogt,R. Burke Johnson

Publisher: SAGE

ISBN: 1412971098

Category: Reference

Page: 437

View: 8274

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Written in a clear, readable style with a wide range of explanations and examples, the Fourth Edition of this must-have reference guide has been updated throughout to reflect recent changes in the fields of statistics and methodology. Packed with new terms, synonyms, and graphics, this best-selling dictionary provides readers with everything they need to read and understand a research report, including elementary terms and concepts and methodology and design definitions, as well as concepts from qualitative research methods and terms from theory and philosophy.