Author: Robert A. Hanneman
Publisher: John Wiley & Sons
ISBN: 0470587989
Category : Education
Languages : en
Pages : 560
Get Book Here
Book Description
A core statistics text that emphasizes logical inquiry, not math Basic Statistics for Social Research teaches core general statistical concepts and methods that all social science majors must master to understand (and do) social research. Its use of mathematics and theory are deliberately limited, as the authors focus on the use of concepts and tools of statistics in the analysis of social science data, rather than on the mathematical and computational aspects. Research questions and applications are taken from a wide variety of subfields in sociology, and each chapter is organized around one or more general ideas that are explained at its beginning and then applied in increasing detail in the body of the text. Each chapter contains instructive features to aid students in understanding and mastering the various statistical approaches presented in the book, including: Learning objectives Check quizzes after many sections and an answer key at the end of the chapter Summary Key terms End-of-chapter exercises SPSS exercises (in select chapters) Ancillary materials for both the student and the instructor are available and include a test bank for instructors and downloadable video tutorials for students.
Author: Michael Malec
Publisher: Routledge
ISBN: 0429969317
Category : Social Science
Languages : en
Pages : 312
Get Book Here
Book Description
We need only scan a newspaper or magazine, turn on a news broadcast, or open a sociology text or journal to see that we live in an age that is heavily dependent on statistical information. The extent this dependency is such that it is rather difficult to be an educated person without having at least a passing acquaintance with basic statistics. More to the point, it is virtually impossible to be a capable social scientist without having a definite, if elementary, understanding of some basic statistics and statistical methods of analysis. But a casual acquaintance with a few simple statistics will not serve the social scientist who attempts to read competently the literature of the field. And if one wishes to do quantitative social research—and most research published today is quantitative—a more thorough knowledge of statistics is imperative. The aspiring sociologist need only examine the books and articles that are being published today for evidence of this claim. A very large portion of the articles published in the major sociology journals use some form of statistical analysis. Some of these articles and other works published sociologists are incomprehensible without a statistics background; others will simply be read less intelligently or with a lessened sense of appreciation or criticism.
Author: Scott M. Lynch
Publisher: Springer Science & Business Media
ISBN: 1461485738
Category : Social Science
Languages : en
Pages : 245
Get Book Here
Book Description
This book covers applied statistics for the social sciences with upper-level undergraduate students in mind. The chapters are based on lecture notes from an introductory statistics course the author has taught for a number of years. The book integrates statistics into the research process, with early chapters covering basic philosophical issues underpinning the process of scientific research. These include the concepts of deductive reasoning and the falsifiability of hypotheses, the development of a research question and hypotheses, and the process of data collection and measurement. Probability theory is then covered extensively with a focus on its role in laying the foundation for statistical reasoning and inference. After illustrating the Central Limit Theorem, later chapters address the key, basic statistical methods used in social science research, including various z and t tests and confidence intervals, nonparametric chi square tests, one-way analysis of variance, correlation, simple regression, and multiple regression, with a discussion of the key issues involved in thinking about causal processes. Concepts and topics are illustrated using both real and simulated data. The penultimate chapter presents rules and suggestions for the successful presentation of statistics in tabular and graphic formats, and the final chapter offers suggestions for subsequent reading and study.
Author: George Argyrous
Publisher: Palgrave MacMillan
ISBN: 9780732939366
Category : SPSS (Computer file)
Languages : en
Pages : 0
Get Book Here
Book Description
Introduction to the basic statistical concepts of data description, sampling estimation, inference and association/correlation. For students and professionals who do not have any existing knowledge in the field of statistics. A step-by-step approach takes the readers through the application of these concepts to concrete problems with explanations. For SPSS users, these examples are reworked with a guide to the commands required and an explanation of the output that is generated. Disks with the data necessary to generate the results and replicate the procedures described in the book are included in both Macintosh and PC formats. The author teaches in the School of Social Sciences and Policy at the UNSW. Also available in hardback.
Author: Keming Yang
Publisher: SAGE
ISBN: 1446205592
Category : Social Science
Languages : en
Pages : 218
Get Book Here
Book Description
Making Sense of Statistical Methods in Social Research is a critical introduction to the use of statistical methods in social research. It provides a unique approach to statistics that concentrates on helping social researchers think about the conceptual basis for the statistical methods they′re using. Whereas other statistical methods books instruct students in how to get through the statistics-based elements of their chosen course with as little mathematical knowledge as possible, this book aims to improve students′ statistical literacy, with the ultimate goal of turning them into competent researchers. Making Sense of Statistical Methods in Social Research contains careful discussion of the conceptual foundation of statistical methods, specifying what questions they can, or cannot, answer. The logic of each statistical method or procedure is explained, drawing on the historical development of the method, existing publications that apply the method, and methodological discussions. Statistical techniques and procedures are presented not for the purpose of showing how to produce statistics with certain software packages, but as a way of illuminating the underlying logic behind the symbols. The limited statistical knowledge that students gain from straight forward ′how-to′ books makes it very hard for students to move beyond introductory statistics courses to postgraduate study and research. This book should help to bridge this gap.
Author: Annabel Ness Evans
Publisher: SAGE Publications
ISBN: 1483323617
Category : Social Science
Languages : en
Pages : 605
Get Book Here
Book Description
In this fully updated edition of Using Basic Statistics in the Behavioral and Social Sciences, Annabel Ness Evans presents introductory statistics in a practical, conceptual, and humorous way, reducing the anxiety that many students experience in introductory courses. Avoiding complex notation and derivations, the book focuses on helping readers develop an understanding of the underlying logic of statistics, rather than rote memorization. Focus on Research boxes engage students with realistic applications of statistics, and end-of-chapter exercises ensure student comprehension. This exciting new edition includes a greater number of realistic and engaging global examples within the social and behavioral sciences, making it ideal for use within many departments or in interdisciplinary settings.
Author: Michael Malec
Publisher: Routledge
ISBN: 0429980396
Category : Social Science
Languages : en
Pages : 313
Get Book Here
Book Description
We need only scan a newspaper or magazine, turn on a news broadcast, or open a sociology text or journal to see that we live in an age that is heavily dependent on statistical information. The extent this dependency is such that it is rather difficult to be an educated person without having at least a passing acquaintance with basic statistics. More to the point, it is virtually impossible to be a capable social scientist without having a definite, if elementary, understanding of some basic statistics and statistical methods of analysis. But a casual acquaintance with a few simple statistics will not serve the social scientist who attempts to read competently the literature of the field. And if one wishes to do quantitative social research—and most research published today is quantitative—a more thorough knowledge of statistics is imperative. The aspiring sociologist need only examine the books and articles that are being published today for evidence of this claim. A very large portion of the articles published in the major sociology journals use some form of statistical analysis. Some of these articles and other works published sociologists are incomprehensible without a statistics background; others will simply be read less intelligently or with a lessened sense of appreciation or criticism.
Author: Jeff Gill
Publisher: Cambridge University Press
ISBN: 0521834260
Category : Mathematics
Languages : en
Pages : 449
Get Book Here
Book Description
"More than ever before, modern social scientists require a basic level of mathematical literacy, yet many students receive only limited mathematical training prior to beginning their research careers. This textbook addresses this dilemma by offering a comprehensive, unified introduction to the essential mathematics of social science. Throughout the book the presentation builds from first principles and eschews unnecessary complexity. Most importantly, the discussion is thoroughly and consistently anchored in real social science applications, with more than 80 research-based illustrations woven into the text and featured in end-of-chapter exercises. Students and researchers alike will find this first-of-its-kind volume to be an invaluable resource."--BOOK JACKET.
Author: Anna Leon-Guerrero
Publisher: SAGE Publications
ISBN: 1506390811
Category : Social Science
Languages : en
Pages : 645
Get Book Here
Book Description
The authors are proud sponsors of the 2020 SAGE Keith Roberts Teaching Innovations Award—enabling graduate students and early career faculty to attend the annual ASA pre-conference teaching and learning workshop. Essentials of Social Statistics for a Diverse Society, Third Edition, is a more streamlined, less expensive version of the successful Social Statistics for a Diverse Society. As in the parent text, the Essentials version does more than introduce students to the statistical techniques used by social scientists. It is distinct for the use of real data from contemporary social issues, illustrating the interplay between social concerns and methods of inquiry, and for a strong emphasis on race, class, gender, and other statuses to show how statistics can be a tool for understanding the richness of social differences within society. With a wide range of examples and exercises taken from current events and published research, frequent illustrations, and a focus on student learning, this book continues to be an accessible and engaging resource for students. "I think this textbook is incredibly readable. It presents statistics in a manner that is easy to grasp and comprehend but is still rigorous in terms of the content covered." —Amy Lucas, University of Houston–Clear Lake A Complete Teaching & Learning Package SAGE edge FREE online resources for students that make learning easier. See how your students benefit.
Author: Amy Batchelor
Publisher: Columbia University Press
ISBN: 0231550227
Category : Social Science
Languages : en
Pages : 143
Get Book Here
Book Description
Understanding statistical concepts is essential for social work professionals. It is key to understanding research and reaching evidence-based decisions in your own practice—but that is only the beginning. If you understand statistics, you can determine the best interventions for your clients. You can use new tools to monitor and evaluate the progress of your client or team. You can recognize biased systems masked by complex models and the appearance of scientific neutrality. For social workers, statistics are not just math, they are a critical practice tool. This concise and approachable introduction to statistics limits its coverage to the concepts most relevant to social workers. Statistics in Social Work guides students through concepts and procedures from descriptive statistics and correlation to hypothesis testing and inferential statistics. Besides presenting key concepts, it focuses on real-world examples that students will encounter in a social work practice. Using concrete illustrations from a variety of potential concentrations and populations, Amy Batchelor creates clear connections between theory and practice—and demonstrates the important contributions statistics can make to evidence-based and rigorous social work practice.
