Author: Robert A. Hanneman,Augustine J. Kposowa,Mark D. Riddle
Publisher: John Wiley & Sons
Category: Social Science
A core statistics text that emphasizes logical inquiry, notmath Basic Statistics for Social Research teaches core generalstatistical concepts and methods that all social science majorsmust master to understand (and do) social research. Its use ofmathematics and theory are deliberately limited, as the authorsfocus on the use of concepts and tools of statistics in theanalysis of social science data, rather than on the mathematicaland computational aspects. Research questions and applications aretaken from a wide variety of subfields in sociology, and eachchapter is organized around one or more general ideas that areexplained at its beginning and then applied in increasing detail inthe body of the text. Each chapter contains instructive features to aid students inunderstanding and mastering the various statistical approachespresented in the book, including: Learning objectives Check quizzes after many sections and an answer key at the endof the chapter Summary Key terms End-of-chapter exercises SPSS exercises (in select chapters) Ancillary materials for both the student and the instructor areavailable and include a test bank for instructors and downloadablevideo tutorials for students.
Step-by-Step Calculations and Computer Techniques Using SPSS for Windows
Author: Duncan Cramer
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.
Step-by-step Calculations and Computer Techniques Using Minitab
Author: Duncan Cramer
Both students and professionals are increasingly reliant on computers for the analysis of data. This accessible introduction to statistics using the program Minitab assumes no prior knowledge of statistics or computing, and has details of the different versions and options available. It also explains when to apply and how to calculate and interpret a wide range of statistical procedures commonly used in the social sciences. Ranging from chi-square and the t test to analysis of covariance and multiple regression, Duncan Cramer covers a wide choice of statistics, including tests not found in other introductory texts, such as tests for determining whether correlations differ and the extent of agreement between observers. Important statistical points are illustrated with worked numerical examples, and exercises are provided at the end of chapters.
This is a course textbook on statistics for social research which covers essential statistics for the beginning student. It features examples that demonstrate the use of computers to analyse data. The chapters on testing the difference between means and on measuring association between interval-level variables have been considerably expanded, as ha
Focused on principles and techniques, this book provides a conceptual, intuitive approach to applied statistics that replaces proofs and derivations with examples and illustrations. The focus throughout is on the usefulness of statistics and content is organized according to statistical applications, not statistical assumptions. Emphasizes informed applications of statistics — but provides a balance of applications and theory. Explores the statistical procedures that are most useful in the social and behavioral sciences — with a focus on essential concepts and techniques needed in order to begin to evaluate data and read research literature in the behavior sciences. Groups statistics by purpose, not assumption. Demonstrates appropriate applications as well as computational mechanics and interpretation. Shows that statistics is not the study of numbers, but the study of people, cities, and the concerns of the everyday world.
Using Basic Statistics in the Behavioral and Social Sciences, Fifth Edition, by 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 derivation, the book focuses on helping readers develop an understanding of the underlying logic of statistics. Practical 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.
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.
Students in the behavioral and social sciences frequently need to take introductory courses in statistics. Ideal for said courses at both the undergraduate and graduate levels, Basic Statistics for the Behavioral and Social Sciences Using R is specifically designed to make adoption simple in a variety of disciplines. The text includes topics typically covered in introductory textbooks: probability, descriptive statistics, visualization, comparisons of means, tests of association, correlations, OLS regression, and power analysis. However, it also transcends other books at this level by featuring subjects such as bootstrapping and an introduction to R. In a straightforward and easy-to-understand format, the authors provide readers with a plethora of freely available and robust resources (such as links to Khan Academy(R) videos, datasets to practice skills taught in the book, and linkages to R and RStudio) and examples that are applicable to a wide variety of behavioral and social science disciplines, including social work, psychology, and physical and occupational therapy. The book is a must-have for all professors and students endeavoring to learn basic statistics.
This thematically-based textbook places statistics within the research process, illustrating how statistics are used to answer questions and test ideas. Students learn not only how to calculate statistics, but also how to interpret the results of statistical analyses in light of a study’s research hypothesis and to communicate their results and interpretations to a broader audience. Featuring accessible writing and well-integrated research examples, Fundamental Statistics for the Social and Behavioral Sciences by Howard T. Tokunaga is designed to help readers develop an appreciation of how statistics are applied to topics and questions of interest, gain an appreciation of issues related to the use of statistics, and enhance their understanding of the research process and the role of statistics within it.
Applied Statistics for the Social and Health Sciences provides graduate students in the social and health sciences with the basic skills that they need to estimate, interpret, present, and publish statistical models using contemporary standards. The book targets the social and health science branches such as human development, public health, sociology, psychology, education, and social work in which students bring a wide range of mathematical skills and have a wide range of methodological affinities. For these students, a successful course in statistics will not only offer statistical content but will also help them develop an appreciation for how statistical techniques might answer some of the research questions of interest to them. This book is for use in a two-semester graduate course sequence covering basic univariate and bivariate statistics and regression models for nominal and ordinal outcomes, in addition to covering ordinary least squares regression. Key features of the book include: interweaving the teaching of statistical concepts with examples developed for the course from publicly-available social science data or drawn from the literature thorough integration of teaching statistical theory with teaching data processing and analysis teaching of both SAS and Stata "side-by-side" and use of chapter exercises in which students practice programming and interpretation on the same data set and course exercises in which students can choose their own research questions and data set. This book is for a two-semester course. For a one-semester course, see http://www.routledge.com/9780415991544/
A comprehensive, exceptionally well-written text that instructors find to be appropriate for students with varying levels of mathematical skill, ranging from those suffering from math phobia and anxiety to those adept at math. The text provides students a first look at social statistics by illustrating the application of statistics to contemporary social issues. Students learn to read and interpret statistics in a variety of settings. Each chapter is complete with numerous practice exercises, problems, and demonstrations and applications of the latest SPSS statistical software package to reinforce chapter concepts, operations, and formulas. Students can also find demonstrations and applications using the MicroCase statistical package on the text's companion web site. The book's primary emphasis is on developing the following skills necessary for students to become statistically literate: computational competence; appreciation of statistics; and the ability to read professional social science literature. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
This unique volume addresses the inadequacies of basic statistical methods that standard textbooks tend to ignore. The author introduces new procedures with accompanying tables that illustrate the practicality of the methods. Concentrating on basic experimental designs that are central to research in the social sciences, Wilcox describes new nonparametric techniques, two-way ANOVA designs, and new results related to the analysis of covariance and repeated measure design. This book serves as the ideal reference and supplement to standard texts by making the statistical advances of the last thirty years accessible to graduate students and researchers.
A user-friendly, hands-on guide to recognizing and conducting proper research techniques in data collection Offering a unique approach to numerical research methods, Analyzing Quantitative Data: An Introduction for Social Researchers presents readers with the necessary statistical applications for carrying out the key phases of conducting and evaluating a research project. The book guides readers through the steps of data analysis, from organizing raw data to utilizing descriptive statistics and tests of significance, drawing valid conclusions, and writing research reports. The author successfully provides a presentation that is accessible and hands-on rather than heavily theoretical, outlining the key quantitative processes and the use of software to successfully draw valid conclusions from gathered data. In its discussion of methods for organizing data, the book includes suggestions for coding and entry into spreadsheets or databases while also introducing commonly used descriptive statistics and clarifying their roles in data analysis. Next, inferential statistics is explored in-depth with explanations of and instructions for performing chi-square tests, t-tests, analyses of variance, correlation and regression analyses, and a number of advanced statistical procedures. Each chapter contains explanations of when to use the tests described, relevant formulas, and sample computations. The book concludes with guidance on extracting meaningful conclusions from statistical tests and writing research reports that describe procedures and analyses. Throughout the book, Statistical Resources for SPSS® sections provide fundamental instruction for using SPSS® to obtain the results presented. Where necessary, the author provides basic theoretical explanations for distributions and background information regarding formulas. Each chapter concludes with practice problems, and a related website features derivations of the book's formulas along with additional resources for performing the discussed processes. Analyzing Quantitative Data is an excellent book for social sciences courses on data analysis and research methods at the upper-undergraduate and graduate levels. It also serves as a valuable reference for applied statisticians and practitioners working in the fields of education, medicine, business and public service who analyze, interpret, and evaluate data in their daily work.
STATISTICS: A TOOL FOR SOCIAL RESEARCH, Ninth Edition, provides an accessible, well-balanced introduction to the fundamental concepts of statistics and their practical application to a wide variety of contemporary social issues. This comprehensive, reader-friendly text includes abundant real-world examples, engaging exercises, and integrated features to support effective learning for both math-averse beginners and more advanced students in diverse social science disciplines. 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. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
This basic social science statistics text uses illustrations and exercises for sociology, social work, political science, and criminal justice. Praised for a writing style that takes the anxiety out of statistics courses, the author explains basic statistical principles through a variety of engaging exercises, each designed to illuminate the unique theme of examining society both creatively and logically. In an effort to make the study of statistics relevant to students of the social sciences, the author encourages readers to interpret the results of calculations in the context of more substantive social issues, while continuing to value precise and accurate research.
This revised edition was developed after teaching statistics to undergraduate and graduate social work students for over ten years. The statistical concepts that are necessary for students to know are covered, ranging from simple descriptive statistics such as crosstabs and tabular data up to a limited discussion of multiple regression.
Addresses basic aspects of research design which are central and common to many related fields in the social sciences, in the health sciences, in education, and in market research. Presents a unified approach to a common core of problems of statistical design that exists in all these fields, along with basic similarities in practical solutions.
Aimed at undergraduate students taking course in statistics for sociology and the social sciences, this work assumes only high school algebra. This edition features a more applied social science perspective, especially with regard to multivariate analysis and the interpretation of results.