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Using Statistics in Social Research

Using Statistics in Social Research
Author: Scott M. Lynch
Publisher: Springer Science & Business Media
Total Pages: 245
Release: 2013-09-07
Genre: Social Science
ISBN: 1461485738

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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.


Basic Statistics for Social Research

Basic Statistics for Social Research
Author: Robert A. Hanneman
Publisher: John Wiley & Sons
Total Pages: 560
Release: 2012-12-04
Genre: Education
ISBN: 0470587989

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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.


Statistics for the Social Sciences

Statistics for the Social Sciences
Author: R. Mark Sirkin
Publisher: SAGE
Total Pages: 636
Release: 2006
Genre: Mathematics
ISBN: 9781412905466

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Do your students lack confidence in their ability to handle quantitative work? Do they get confused about how to enter statistical data on SAS, SPSS, and Excel programs? The new Third Edition of the bestselling Statistics for the Social Sciences is the solution to these dilemmas Popular in previous editions, this Third Edition continues to help build students' confidence and ability in doing statistical analysis by slowly moving from concepts that require little computational work to those that require more. Author R. Mark Sirkin once again demonstrates how statistics can be used so that students come to appreciate their usefulness rather than fearing them. Statistics for the Social Sciences emphasizes the analysis and interpretation of data to give students a feel for how data interpretation is related to the methods by which the information was obtained. The book includes lists of key concepts, chapter exercises, topic boxes, and more


Fundamental Statistics for Social Research

Fundamental Statistics for Social Research
Author: Duncan Cramer
Publisher: Routledge
Total Pages: 4
Release: 2003-09-02
Genre: Psychology
ISBN: 1134693249

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This accessible introduction to statistics using the program SPSS for Windows explains when to apply and how to calculate and interpret a wide range of statistical procedures commonly used in the social sciences. Keeping statistical symbols and formulae to a minimum and using simple examples, this book: * assumes no prior knowledge of statistics or computing * includes a concise introduction to the program SPSS for Windows * describes a wider range of tests than other introductory texts * contains a comprehensive range of exercises with answers Fundamental Statistics for Social Research covers SPSS Release 6 for Windows 3.1 and Release 7 for Windows 95. It will prove an invaluable introductory statistics text for students, and a useful resource for graduates and professionals engaged in research in the social sciences.


Statistics for the Social Sciences

Statistics for the Social Sciences
Author: Russell T. Warne
Publisher: Cambridge University Press
Total Pages: 612
Release: 2020-12-17
Genre: Psychology
ISBN: 110889853X

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The second edition of Statistics for the Social Sciences prepares students from a wide range of disciplines to interpret and learn the statistical methods critical to their field of study. By using the General Linear Model (GLM), the author builds a foundation that enables students to see how statistical methods are interrelated enabling them to build on the basic skills. The author makes statistics relevant to students' varying majors by using fascinating real-life examples from the social sciences. Students who use this edition will benefit from clear explanations, warnings against common erroneous beliefs about statistics, and the latest developments in the philosophy, reporting, and practice of statistics in the social sciences. The textbook is packed with helpful pedagogical features including learning goals, guided practice, and reflection questions.


Using Statistical Methods in Social Science Research

Using Statistical Methods in Social Science Research
Author: Soleman H. Abu-Bader
Publisher: Oxford University Press
Total Pages: 395
Release: 2011-07-01
Genre: Social Science
ISBN: 0190685352

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In Using Statistical Methods, Soleman Abu-Bader detects and addresses the gaps between the research and data analysis of the classroom environment and the practitioner's office. This book not only guides social scientists through different tests, but also provides students and researchers alike with information that will help them in their own practice. With focus on the purpose, rationale, and assumptions made by each statistical test, and a plethora of research examples that clearly display their applicability and function in real-world practice, Professor Abu-Bader creates a step-by-step description of the process needed to clearly organize, choose a test or statistical technique, analyze, interpret, and report research findings.


Applied Statistics Using R

Applied Statistics Using R
Author: Mehmet Mehmetoglu
Publisher: SAGE
Total Pages: 465
Release: 2021-11-10
Genre: Social Science
ISBN: 1529766141

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If you want to learn to use R for data analysis but aren’t sure how to get started, this practical book will help you find the right path through your data. Drawing on real-world data to show you how to use different techniques in practice, it helps you progress your programming and statistics knowledge so you can apply the most appropriate tools in your research. It starts with descriptive statistics and moves through regression to advanced techniques such as structural equation modelling and Bayesian statistics, all with digestible mathematical detail for beginner researchers. The book: Shows you how to use R packages and apply functions, adjusting them to suit different datasets. Gives you the tools to try new statistical techniques and empowers you to become confident using them. Encourages you to learn by doing when running and adapting the authors’ own code. Equips you with solutions to overcome the potential challenges of working with real data that may be messy or imperfect. Accompanied by online resources including screencast tutorials of R that give you step by step guidance and R scripts and datasets for you to practice with, this book is a perfect companion for any student of applied statistics or quantitative research methods courses.


Statistics in Social Work

Statistics in Social Work
Author: Amy Batchelor
Publisher: Columbia University Press
Total Pages: 143
Release: 2019-11-19
Genre: Social Science
ISBN: 0231550227

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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.


Elementary Statistics in Social Research

Elementary Statistics in Social Research
Author: Jack Levin
Publisher: HarperCollins Publishers
Total Pages: 293
Release: 1977-01-01
Genre: Mathematical statistics
ISBN: 9780060439859

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Key Topic: This best-selling introduction to statistical analysis in the social sciences provides the right balance of conceptual understanding and step-by-step computational techniques. Key Benefit: Written to be understandable to a broad range of students, particularly those without a strong background in mathematics.


Statistics for Social Research

Statistics for Social Research
Author: George Argyrous
Publisher: Palgrave MacMillan
Total Pages: 0
Release: 1996
Genre: SPSS (Computer file)
ISBN: 9780732939366

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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.