Statistical Applications for the Behavioral and Social Sciences

Includes a series of sidebar discussions dispersed throughout the text that address, among other topics, the recent and growing controversy regarding the failed reproducibility of published findings in the behavioral and social sciences ...

Statistical Applications for the Behavioral and Social Sciences

An updated edition of a classic text on applying statistical analyses to the social sciences, with reviews, new chapters, an expanded set of post-hoc analyses, and information on computing in Excel and SPSS Now in its second edition,Statistical Applications for the Behavioral and Social Sciences has been revised and updated and continues to offer an essential guide to the conceptual foundations of statistical analyses (particularly inferential statistics), placing an emphasis on connecting statistical tools with appropriate research contexts. Designed to be accessible, the text contains an applications-oriented, step-by-step presentation of the statistical theories and formulas most often used by the social sciences. The revised text also includes an entire chapter on the basic concepts in research, presenting an overall context for all the book's statistical theories and formulas. The authors cover descriptive statistics and z scores, the theoretical underpinnings of inferential statistics, z and t tests, power analysis, one/two-way and repeated-measures ANOVA, linear correlation and regression, as well as chi-square and other nonparametric tests. The second edition also includes a new chapter on basic probability theory. This important resource: Contains information regarding the use of statistical software packages; both Excel and SPSS Offers four strategically positioned and accumulating reviews, each containing a set of research-oriented diagnostic questions designed to help students determine which tests are applicable to which research scenarios Incorporates additional statistical information on follow-up analyses such as post-hoc tests and effect sizes Includes a series of sidebar discussions dispersed throughout the text that address, among other topics, the recent and growing controversy regarding the failed reproducibility of published findings in the social sciences Puts renewed emphasis on presentation of data and findings using the APA format Includes supplementary material consisting of a set of "kick-start" quizzes designed to get students quickly back up to speed at the start of an instructional period, and a complete set of ready-to-use PowerPoint slides for in-class use Written for students in areas such as psychology, sociology, criminology, political science, public health, and others, Statistical Applications for the Behavioral and Social Sciences, Second Edition continues to provide the information needed to understand the foundations of statistical analyses as relevant to the behavioral and social sciences.

Statistical Applications for the Behavioral and Social Sciences

The statistical methods for calculating the correlation were invented by Sir Francis Galton (1822–1911). However, the precise formula for the statistic Statistical Applications for the Behavioral and Social Sciences, Second Edition.

Statistical Applications for the Behavioral and Social Sciences

An updated edition of a classic text on applying statistical analyses to the social sciences, with reviews, new chapters, an expanded set of post-hoc analyses, and information on computing in Excel and SPSS Now in its second edition,Statistical Applications for the Behavioral and Social Sciences has been revised and updated and continues to offer an essential guide to the conceptual foundations of statistical analyses (particularly inferential statistics), placing an emphasis on connecting statistical tools with appropriate research contexts. Designed to be accessible, the text contains an applications-oriented, step-by-step presentation of the statistical theories and formulas most often used by the social sciences. The revised text also includes an entire chapter on the basic concepts in research, presenting an overall context for all the book's statistical theories and formulas. The authors cover descriptive statistics and z scores, the theoretical underpinnings of inferential statistics, z and t tests, power analysis, one/two-way and repeated-measures ANOVA, linear correlation and regression, as well as chi-square and other nonparametric tests. The second edition also includes a new chapter on basic probability theory. This important resource: Contains information regarding the use of statistical software packages; both Excel and SPSS Offers four strategically positioned and accumulating reviews, each containing a set of research-oriented diagnostic questions designed to help students determine which tests are applicable to which research scenarios Incorporates additional statistical information on follow-up analyses such as post-hoc tests and effect sizes Includes a series of sidebar discussions dispersed throughout the text that address, among other topics, the recent and growing controversy regarding the failed reproducibility of published findings in the social sciences Puts renewed emphasis on presentation of data and findings using the APA format Includes supplementary material consisting of a set of "kick-start" quizzes designed to get students quickly back up to speed at the start of an instructional period, and a complete set of ready-to-use PowerPoint slides for in-class use Written for students in areas such as psychology, sociology, criminology, political science, public health, and others, Statistical Applications for the Behavioral and Social Sciences, Second Edition continues to provide the information needed to understand the foundations of statistical analyses as relevant to the behavioral and social sciences.

A Guide to R for Social and Behavioral Science Statistics

Geared toward social and behavioural statistics students, especially those with no background in computer science, this handy guide contains basic information on statistics in the R language.

A Guide to R for Social and Behavioral Science Statistics

A short, accessible book for learning R, this text follows the most common progression of statistics for social scientists. Written as a companion book to be used alongside a larger introductory statistics text, this guide also services as a companion for conducting data analysis in a research methods course or as a stand-alone R and statistics text. With frequent reminders of basic statistical concepts to accompany instructions in R, the guide can teach anyone to how to use R for statistics.

Using Basic Statistics in the Behavioral and Social Sciences

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 ...

Using Basic Statistics in the Behavioral and Social Sciences

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.

Research for Advanced Practice Nurses Fourth Edition

Enhancing treatment fidelity in health behavior change studies: Best practices and recommendations from the National Institutes of Health Behavior Change ... Statistical applications for the behavioral and social sciences (2nd ed.).

Research for Advanced Practice Nurses  Fourth Edition

Focused specifically on the APRN role in implementing evidence-based practice in the clinical environment The fourth edition of this award-winning text—written specifically for Advanced Practice Registered Nurses (APRN) and students devoted to scholarly investigation—describes essential ways to implement Evidence-Based Practice (EBP) and quality improvement skills into practical application. Step-by-step instructions walk the reader through the process of finding relevant evidence, appraising it, translating it into practice to improve patient care and outcomes, and disseminating it. This text delivers expert guidance on designing questionnaires and data-collection forms, and on analyzing qualitative and quantitative data. The authors also offer guidelines for evaluating research articles and a variety of EBP activities and protocols demonstrating how to integrate EBP into multiple clinical settings relevant to all APRN practice domains. New to the Fourth Edition: New chapter on Continuous Quality Improvement (CQI) includes information on models, processes, and tools New chapter filled with examples of APRN-led initiatives showcasing improved processes and health outcomes resulting from EBP and quality improvement (QI) projects Expanded literature reviews including integrative and other types of literature reviews beyond systematic review Increased focus on Doctor of Nursing (DNP) competencies and QI Key Features: Helpful in achieving hospital Magnet® status Integrates EBP concepts related to patient care Examples highlight application of evidence into practice Describes strategies for establishing and sustaining an organizational evidence-based practice Discusses issues of costs and ethics from EBP perspective Purchase includes digital access for use on most mobile devices or computers

The Behavioral and Social Sciences

This volume explores the scientific frontiers and leading edges of research across the fields of anthropology, economics, political science, psychology, sociology, history, business, education, geography, law, and psychiatry, as well as the ...

The Behavioral and Social Sciences

This volume explores the scientific frontiers and leading edges of research across the fields of anthropology, economics, political science, psychology, sociology, history, business, education, geography, law, and psychiatry, as well as the newer, more specialized areas of artificial intelligence, child development, cognitive science, communications, demography, linguistics, and management and decision science. It includes recommendations concerning new resources, facilities, and programs that may be needed over the next several years to ensure rapid progress and provide a high level of returns to basic research.

Behavioral and Social Science Research

The value, significance, and social utility of basic research in the behavioral and social sciences are examined. Following an introduction in chapter 1, there are 4 major chapters.

Behavioral and Social Science Research

The value, significance, and social utility of basic research in the behavioral and social sciences are examined. Following an introduction in chapter 1, there are 4 major chapters. Chapter 2 discusses how the research terrain has been divided among the disciplines of psychology, sociology, anthropology, economics, political science, geography, history, and statistics. Also examined are specialization within disciplines, the improvement of data, shifts in conceptual and theoretical foci, and interdisciplinary ferment. Chapter 3 illustrates the progress of the behavioral and social sciences as sciences. One striking feature of advances made is that frequently they have been borrowed from or have contributed to other disciplines. For example, the study of human perception has involved a long-term interaction between psychophysicists describing behavior and sensory physiologists describing the physiological substrate of that behavior. Chapter 4 examines the applications of research findings to public policy formation, social problem solving, and other areas. The concluding chapter sets forth in more general terms the relationship between basic research and its influence and practical application. (RM)

Statistical Applications for the Behavioral Sciences

Contemporary Problems in Statistics : A Book of Readings for the Behavioral Sciences . ... Journal of Personality and Social Psychology 38 , pp . 399–408 . ... Nonparametric and Distribution Free Methods for the Social Sciences .

Statistical Applications for the Behavioral Sciences

Explains the conceptual foundations of statistical analyses (particularly inferential statistics), emphasizing the research context. Teaches students how to ``work the formulas'' by presenting cleary defined steps for dealing with statistical problems. Covers chi-square and other nonparametric tests, one/two-way and repeated-measures ANOVA, data analytic procedures such as linear correlation and regression. Boxed features highlight the topics under discussion using published and unpublished research and contain biographical sketches of luminaries in the field of statistics. Each chapter concludes with an extended summary, the relevant formulas and numerous work problems.

A Guide to R for Social and Behavioral Science Statistics

... Processes, and Outcomes (Palgrave, 2017) and coauthor of The Practice of Survey Research: Theory and Applications (SAGE, 2016) and Using and Interpreting Statistics in the Social, Behavioral, and Health Sciences (SAGE, 2018).

A Guide to R for Social and Behavioral Science Statistics

A Guide to R for Social and Behavioral Science Statistics is a short, accessible book for learning R. This handy guide contains basic information on statistics for undergraduates and graduate students, shown in the R statistical language using RStudio®. The book is geared toward social and behavioral science statistics students, especially those with no background in computer science. Written as a companion book to be used alongside a larger introductory statistics text, the text follows the most common progression of statistics for social scientists. The guide also serves as a companion for conducting data analysis in a research methods course or as a stand-alone R and statistics text. This guide can teach anyone how to use R to analyze data, and uses frequent reminders of basic statistical concepts to accompany instructions in R to help walk students through the basics of learning how to use R for statistics.

Big Data and Social Science

The text teaches you how to identify and collect appropriate data, apply data science methods and tools to the data, and recognize and respond to data errors, biases, and limitations.

Big Data and Social Science

Big Data and Social Science: Data Science Methods and Tools for Research and Practice, Second Edition shows how to apply data science to real-world problems, covering all stages of a data-intensive social science or policy project. Prominent leaders in the social sciences, statistics, and computer science as well as the field of data science provide a unique perspective on how to apply modern social science research principles and current analytical and computational tools. The text teaches you how to identify and collect appropriate data, apply data science methods and tools to the data, and recognize and respond to data errors, biases, and limitations. Features Takes an accessible, hands-on approach to handling new types of data in the social sciences Presents the key data science tools in a non-intimidating way to both social and data scientists while keeping the focus on research questions and purposes Illustrates social science and data science principles through real-world problems Links computer science concepts to practical social science research Promotes good scientific practice Provides freely available data and code as well as practical programming exercises through Binder and GitHub New to the Second Edition Increased use of examples from different areas of social sciences New chapter on dealing with Bias and Fairness in Machine Learning models Expanded chapters focusing on Machine Learning and Text Analysis Revamped hands-on Jupyter notebooks to reinforce concepts covered in each chapter This classroom-tested book fills a major gap in graduate- and professional-level data science and social science education. It can be used to train a new generation of social data scientists to tackle real-world problems and improve the skills and competencies of applied social scientists and public policy practitioners. It empowers you to use the massive and rapidly growing amounts of available data to interpret economic and social activities in a scientific and rigorous manner.

Doing Quantitative Research in the Social Sciences

FrankfortNachmias, C. and Nachmias, D. (1992) Research Methods in the Social Sciences (4th edn). London: Edward Arnold. ... Grimm, L.G. (1993) Statistical Applications for the Behavioral Sciences. New York: Wiley.

Doing Quantitative Research in the Social Sciences

This original textbook provides a comprehensive and integrated approach to using quantitative methods in the social sciences. Thomas R Black guides the student and researcher through the minefield of potential problems that may be confronted, and it is this emphasis on the practical that distinguishes his book from others which focus exclusively on either research design and measurement or statistical methods. Focusing on the design and execution of research, key topics such as planning, sampling, the design of measuring instruments, choice of statistical text and interpretation of results are examined within the context of the research process. In a lively and accessible style, the student is introduced to researc design issues alongside statistical procedures and encouraged to develop analytical and decision-making skills.

Understanding Social Science Research

Reading 6 ' , in J. Bynner and K.M. Stribley ( eds ) , Social Research : Principles and Procedures . Harbour : Longman , pp . 48–52 . Grimm , L.G. ( 1993 ) Statistical Applications for the Behavioral Sciences . Wiley .

Understanding Social Science Research

The ability to read published research critically is essential and is different from the skills involved in undertaking research using statistical analysis. This New Edition of Thomas R Black's best-selling text explains in clear and straightforward terms how students can evaluate research, with particular emphasis on research involving some aspect of measurement. The coverage of fundamental concepts is comprehensive and supports topics including research design, data collection and data analysis by addressing the following major issues: Are the questions and hypotheses advanced appropriate and testable? Is the research design sufficient for the hypothesis? Is the data gathered valid, reliable and objective? Are the statistical techniques used to analyze the data appropriate and do they support the conclusions reached? Each of the chapters from the New Edition has been thoroughly updated, with particular emphasis on improving and increasing the range of activities for students. As well, coverage has been broadened to include: a wider range of research designs; a section on research ethics; item analysis; the definition of standard deviation with a guide for calculation; the concept of `power' in statistical inference; calculating correlations; and a description of the difference between parametric and non-parametric tests in terms of research questions. Evaluating Social Science Research An Introduction 2nd Edition will be key reading for undergraduate and postgrduate students in research methodology and evaluation across the social sciences.

Introduction to Quantitative Data Analysis in the Behavioral and Social Sciences

This book is also an appropriate reference for practitioners who require a review of quantitative research methods. Michael J. Albers, Ph.D., is Professor in the Department of English at East Carolina University.

Introduction to Quantitative Data Analysis in the Behavioral and Social Sciences

Guides readers through the quantitative data analysis process including contextualizing data within a research situation, connecting data to the appropriate statistical tests, and drawing valid conclusions Introduction to Quantitative Data Analysis in the Behavioral and Social Sciences presents a clear and accessible introduction to the basics of quantitative data analysis and focuses on how to use statistical tests as a key tool for analyzing research data. The book presents the entire data analysis process as a cyclical, multiphase process and addresses the processes of exploratory analysis, decision-making for performing parametric or nonparametric analysis, and practical significance determination. In addition, the author details how data analysis is used to reveal the underlying patterns and relationships between the variables and connects those trends to the data’s contextual situation. Filling the gap in quantitative data analysis literature, this book teaches the methods and thought processes behind data analysis, rather than how to perform the study itself or how to perform individual statistical tests. With a clear and conversational style, readers are provided with a better understanding of the overall structure and methodology behind performing a data analysis as well as the needed techniques to make informed, meaningful decisions during data analysis. The book features numerous data analysis examples in order to emphasize the decision and thought processes that are best followed, and self-contained sections throughout separate the statistical data analysis from the detailed discussion of the concepts allowing readers to reference a specific section of the book for immediate solutions to problems and/or applications. Introduction to Quantitative Data Analysis in the Behavioral and Social Sciences also features coverage of the following: • The overall methodology and research mind-set for how to approach quantitative data analysis and how to use statistics tests as part of research data analysis • A comprehensive understanding of the data, its connection to a research situation, and the most appropriate statistical tests for the data • Numerous data analysis problems and worked-out examples to illustrate the decision and thought processes that reveal underlying patterns and trends • Detailed examples of the main concepts to aid readers in gaining the needed skills to perform a full analysis of research problems • A conversational tone to effectively introduce readers to the basics of how to perform data analysis as well as make meaningful decisions during data analysis Introduction to Quantitative Data Analysis in the Behavioral and Social Sciences is an ideal textbook for upper-undergraduate and graduate-level research method courses in the behavioral and social sciences, statistics, and engineering. This book is also an appropriate reference for practitioners who require a review of quantitative research methods. Michael J. Albers, Ph.D., is Professor in the Department of English at East Carolina University. His research interests include information design with a focus on answering real-world questions, the presentation of complex information, and human–information interaction. Dr. Albers received his Ph.D. in Technical Communication and Rhetoric from Texas Tech University.

Statistics Made Simple for Researchers 2008 Ed

Statistics as Applied to Education and other Related Fields . ... Diekhoff , George M. Basic Statistics for the Social and Behavioral Sciences . ... Grimm , Laurence G. Statistical Applications for the Behavioral Sciences .

Statistics Made Simple for Researchers  2008 Ed


Statistics for Behavioural and Social Sciences Revised and Updated Edition

These situations create a dialogue between the text and the reader. This book concludes with an optimistic note on Domains of Application in Statistical methods in various social and behavioral science domains.

Statistics for Behavioural and Social Sciences  Revised and Updated Edition

The impetus to bring out this book comes from my experience and journey as a student, as a teacher, and as a researcher. Hence, I have included areas and work that has moved the field (as a basic and applied discipline) forward. The growth of psychology in multiple contexts is very exciting. I hope that the approach would help undergraduate students to better appreciate the value of scientific psychology, and the beginners to know and learn about the fascinating world of statistical methods, and to help, both, in enriching their lives. In recent years there has been an increased focus on a more learner-centered approach in higher education. Our focus is to awaken student's curiosity so that they will want to learn more. Critical thinking situations which motivate and encourage students to think analytically about the content they have just read. These situations create a dialogue between the text and the reader. This book concludes with an optimistic note on Domains of Application in Statistical methods in various social and behavioral science domains. Taking an idea and turning it into a book is not an easy task. This is especially true when the idea is regarding an abstract and quantitative discipline like statistical methods. In the course of my long association with various institutions, I have observed that students are generally not very comfortable with statistics and its application in various branches of social and behavioral sciences, despite the great emphasis given to statistics at various levels of academic and research domains. I have tried to explain each concept of statistical methods with very simple and lucid examples from the field of social and behavioral sciences. I am sure this attempt will help the readers to understand it and apply. Once they will start their journey with this book, I am say with full confidence that it will be worth understanding and excelling in their respective fields.

Computer Applications in the Social Sciences

AVAILABLE PROGRAMS FOR STATISTICAL ANALYSIS There are literally dozens , perhaps even hundreds , of statistical packages available today that might be used by social scientists . For purposes of discussion in this chapter we distinguish ...

Computer Applications in the Social Sciences

Presenting an introduction to computing and advice on computer applications, this book examines hardware and software with respect to the needs of the social scientist. It offers a framework for the use of computers, with focus on the 'work station', the center of which is a personal computer connected to networks by a telephone-based modem.

Behavioral and Social Sciences and the HIV AIDS Epidemic

Application of Behavioral and Social Science Research Findings Important information is now being generated by ... Director of the Committee on AIDS Research and the Behavioral , Social , and Statistical Sciences of the NAS / NRC ...

Behavioral and Social Sciences and the HIV AIDS Epidemic


Modern Statistics for the Social and Behavioral Sciences

-Susan Starkings, International Statistical Review, 2012This is an interesting and valuable book By gathering a mass of results on that topic into a single volume with references, alternative procedures, and supporting software, the author ...

Modern Statistics for the Social and Behavioral Sciences

Relative advantages/disadvantages of various techniques are presented so that the reader can be helped to understand the choices they make on using the techniques. A considerable number of illustrations are included and the book focuses on using R for its computer software application. A useful text for postgraduate students in the social science disciplines.-Susan Starkings, International Statistical Review, 2012This is an interesting and valuable book By gathering a mass of results on that topic into a single volume with references, alternative procedures, and supporting software, the author has provided a valuable service to those interested in these issues, which should probably include anyone teaching the techniques covered in this book. Recommended to those with a solid background in traditional statistical inference who want a highly competent and comprehensive statement of the cases against traditional statistical inference techniques.-Robert W. Hayden, MAA Reviews, March 2012.

Research in the Social Scientific Study of Religion Volume 14

... C. J. , Hearth , A. L. , & Popovich , J. M. ( 1995 ) . Hope and hopelessness : Critical clinical constructs . Thousand Oaks , CA : Sage . Grimm , L. G. ( 1993 ) . Statistical applications for the behavioral sciences .

Research in the Social Scientific Study of Religion  Volume 14

Various articles are presented covering psychological, sociological and cross-cultural topics or relevance to religious/spiritual researchers and academics.