Basic Statistics for the Behavioral and Social Sciences Using R

Basic Statistics for the Behavioral and Social Sciences Using R
Author: Wendy Zeitlin,Charles Auerbach
Publsiher: Oxford University Press
Total Pages: 352
Release: 2019-02-25
ISBN: 0190620196
Category: Social Science
Language: EN, FR, DE, ES & NL

Basic Statistics for the Behavioral and Social Sciences Using R Book Excerpt:

Ideal for introductory statistics 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 covering topics such as bootstrapping and an introduction to R, for those who are novices to this powerful tool. In a straightforward and easy-to-understand format, the authors provide readers with a plethora of freely available and robust resources 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-read for all professors and students endeavoring to learn basic statistics.

Using Basic Statistics in the Behavioral and Social Sciences

Using Basic Statistics in the Behavioral and Social Sciences
Author: Annabel Ness Evans
Publsiher: SAGE Publications
Total Pages: 624
Release: 2013-06-06
ISBN: 1483312429
Category: Social Science
Language: EN, FR, DE, ES & NL

Using Basic Statistics in the Behavioral and Social Sciences Book Excerpt:

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.

Modern Statistics for the Social and Behavioral Sciences

Modern Statistics for the Social and Behavioral Sciences
Author: Rand Wilcox
Publsiher: CRC Press
Total Pages: 862
Release: 2011-08-05
ISBN: 1439834563
Category: Mathematics
Language: EN, FR, DE, ES & NL

Modern Statistics for the Social and Behavioral Sciences Book Excerpt:

In addition to learning how to apply classic statistical methods, students need to understand when these methods perform well, and when and why they can be highly unsatisfactory. Modern Statistics for the Social and Behavioral Sciences illustrates how to use R to apply both standard and modern methods to correct known problems with classic techniques. Numerous illustrations provide a conceptual basis for understanding why practical problems with classic methods were missed for so many years, and why modern techniques have practical value. Designed for a two-semester, introductory course for graduate students in the social sciences, this text introduces three major advances in the field: Early studies seemed to suggest that normality can be assumed with relatively small sample sizes due to the central limit theorem. However, crucial issues were missed. Vastly improved methods are now available for dealing with non-normality. The impact of outliers and heavy-tailed distributions on power and our ability to obtain an accurate assessment of how groups differ and variables are related is a practical concern when using standard techniques, regardless of how large the sample size might be. Methods for dealing with this insight are described. The deleterious effects of heteroscedasticity on conventional ANOVA and regression methods are much more serious than once thought. Effective techniques for dealing heteroscedasticity are described and illustrated. Requiring no prior training in statistics, Modern Statistics for the Social and Behavioral Sciences provides a graduate-level introduction to basic, routinely used statistical techniques relevant to the social and behavioral sciences. It describes and illustrates methods developed during the last half century that deal with known problems associated with classic techniques. Espousing the view that no single method is always best, it imparts a general understanding of the relative merits of various techniques so that the choice of method can be made in an informed manner.

A Guide to R for Social and Behavioral Science Statistics

A Guide to R for Social and Behavioral Science Statistics
Author: Brian Joseph Gillespie,Kathleen Charli Hibbert,William E. Wagner, III
Publsiher: SAGE Publications
Total Pages: 304
Release: 2020-02-07
ISBN: 1544344007
Category: Social Science
Language: EN, FR, DE, ES & NL

A Guide to R for Social and Behavioral Science Statistics Book Excerpt:

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.

Essentials of Statistics for the Social and Behavioral Sciences

Essentials of Statistics for the Social and Behavioral Sciences
Author: Barry H. Cohen,R. Brooke Lea
Publsiher: John Wiley & Sons
Total Pages: 291
Release: 2004-04-01
ISBN: 0471480762
Category: Psychology
Language: EN, FR, DE, ES & NL

Essentials of Statistics for the Social and Behavioral Sciences Book Excerpt:

Master the essential statistical skills used in social andbehavioral sciences Essentials of Statistics for the Social and Behavioral Sciencesdistills the overwhelming amount of material covered inintroductory statistics courses into a handy, practical resourcefor students and professionals. This accessible guide covers basicto advanced concepts in a clear, concrete, and readablestyle. Essentials of Statistics for the Social and Behavioral Sciencesguides you to a better understanding of basic concepts ofstatistical methods. Numerous practical tips are presented forselecting appropriate statistical procedures. In addition, thisuseful guide demonstrates how to evaluate and interpret statisticaldata, provides numerous formulas for calculating statistics fromtables of summary statistics, and offers a variety of workedexamples. As part of the Essentials of Behavioral Science series, this bookoffers a thorough review of the most relevant statistical conceptsand techniques that will arm you with the tools you'll need forknowledgeable, informed practice. Each concise chapter featuresnumerous callout boxes highlighting key concepts, bulleted points,and extensive illustrative material, as well as "Test Yourself"questions that help you gauge and reinforce your grasp of theinformation covered.

Statistics for People Who Think They Hate Statistics Using R

Statistics for People Who  Think They  Hate Statistics Using R
Author: Neil J. Salkind,Leslie A. Shaw
Publsiher: SAGE Publications
Total Pages: 536
Release: 2019-07-24
ISBN: 1544324553
Category: Social Science
Language: EN, FR, DE, ES & NL

Statistics for People Who Think They Hate Statistics Using R Book Excerpt:

Neil J. Salkind’s bestselling Statistics for People Who (Think They) Hate Statistics has been helping ease student anxiety around an often intimidating subject since it first published in 2000. Now the bestselling SPSS® and Excel® versions are joined by a text for use with the R software, Statistics for People Who (Think They) Hate Statistics Using R. New co-author Leslie A. Shaw carries forward Salkind’s signature humorous, personable, and informative approach as the text guides students in a grounding of statistical basics and R computing, and the application of statistics to research studies. The book covers various basic and advanced statistical procedures, from correlation and graph creation to analysis of variance, regression, non-parametric tests, and more. A Complete Teaching & Learning Package SAGE Premium Video SAGE Premium Video tools and resources boost comprehension and bolster analysis. Videos include screencast tutorials that demonstrate setting up data and running selected problems in R. Learn more. SAGE edge FREE online resources for students that make learning easier. See how your students benefit.

Basic Statistics

Basic Statistics
Author: Tenko Raykov,George A. Marcoulides
Publsiher: Rowman & Littlefield Publishers
Total Pages: 344
Release: 2012-10-04
ISBN: 1442218487
Category: Education
Language: EN, FR, DE, ES & NL

Basic Statistics Book Excerpt:

Basic Statistics provides an accessible and comprehensive introduction to statistics using the free, state-of-the-art software program R. This book is designed to both introduce students to key concepts in statistics and to provide simple instructions for using the powerful software program R.

Basic Statistics

Basic Statistics
Author: Tenko Raykov,George A. Marcoulides
Publsiher: Rowman & Littlefield
Total Pages: 331
Release: 2013
ISBN: 1442218460
Category: Education
Language: EN, FR, DE, ES & NL

Basic Statistics Book Excerpt:

Basic Statistics provides an accessible and comprehensive introduction to statistics using the free, state-of-the-art, powerful software program R. This book is designed to both introduce students to key concepts in statistics and to provide simple instructions for using R. This concise book: .Teaches essential concepts in statistics, assuming little background knowledge on the part of the reader .Introduces students to R with as few sub-commands as possible for ease of use .Provides practical examples from the educational, behavioral, and social sciences With clear explanations of statistical processes and step-by-step commands in R, Basic Statistics will appeal to students and professionals across the social and behavioral sciences."

Network Psychometrics with R

Network Psychometrics with R
Author: Adela-Maria Isvoranu,Sacha Epskamp,Lourens Waldorp,Denny Borsboom
Publsiher: Routledge
Total Pages: 260
Release: 2022-04-29
ISBN: 1000541118
Category: Psychology
Language: EN, FR, DE, ES & NL

Network Psychometrics with R Book Excerpt:

A systematic, innovative introduction to the field of network analysis, Network Psychometrics with R: A Guide for Behavioral and Social Scientists provides a comprehensive overview of and guide to both the theoretical foundations of network psychometrics as well as modelling techniques developed from this perspective. Written by pioneers in the field, this textbook showcases cutting-edge methods in an easily accessible format, accompanied by problem sets and code. After working through this book, readers will be able to understand the theoretical foundations behind network modelling, infer network topology, and estimate network parameters from different sources of data. This book features an introduction on the statistical programming language R that guides readers on how to analyse network structures and their stability using R. While Network Psychometrics with R is written in the context of social and behavioral science, the methods introduced in this book are widely applicable to data sets from related fields of study. Additionally, while the text is written in a non-technical manner, technical content is highlighted in textboxes for the interested reader. Network Psychometrics with R is ideal for instructors and students of undergraduate and graduate level courses and workshops in the field of network psychometrics as well as established researchers looking to master new methods. This book is accompanied by a companion website with resources for both students and lecturers.

Introduction to R for Social Scientists

Introduction to R for Social Scientists
Author: Ryan Kennedy,Taylor & Francis Group,Philip D Waggoner
Publsiher: CRC Press
Total Pages: 192
Release: 2021-02-15
ISBN: 9780367460723
Category: Electronic Book
Language: EN, FR, DE, ES & NL

Introduction to R for Social Scientists Book Excerpt:

Introduction to R for Social Scientists: A Tidy Programming Approach introduces the Tidy approach to programming in R for social science research to help quantitative researchers develop a modern technical toolbox. The Tidy approach is built around consistent syntax, common grammar, and stacked code, which contribute to clear, efficient programming. The authors include hundreds of lines of code to demonstrate a suite of techniques for developing and debugging an efficient social science research workflow. To deepen the dedication to teaching Tidy best practices for conducting social science research in R, the authors include numerous examples using real world data including the American National Election Study and the World Indicators Data. While no prior experience in R is assumed, readers are expected to be acquainted with common social science research designs and terminology. Whether used as a reference manual or read from cover to cover, readers will be equipped with a deeper understanding of R and the Tidyverse, as well as a framework for how best to leverage these powerful tools to write tidy, efficient code for solving problems. To this end, the authors provide many suggestions for additional readings and tools to build on the concepts covered. They use all covered techniques in their own work as scholars and practitioners.

Basic Statistics for the Social and Behavioral Sciences

Basic Statistics for the Social and Behavioral Sciences
Author: George Diekhoff
Publsiher: Macmillan College
Total Pages: 448
Release: 1996
ISBN: 1928374650XXX
Category: Mathematics
Language: EN, FR, DE, ES & NL

Basic Statistics for the Social and Behavioral Sciences Book Excerpt:

Focusing on principles and techniques that are appropriate for the introductory level, this text 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.

Applied Multivariate Statistics for the Social Sciences

Applied Multivariate Statistics for the Social Sciences
Author: James Stevens
Publsiher: Lawrence Erlbaum Associates
Total Pages: 515
Release: 1986
ISBN: 1928374650XXX
Category: Multivariate analysis
Language: EN, FR, DE, ES & NL

Applied Multivariate Statistics for the Social Sciences Book Excerpt:

Advanced Statistics for the Behavioral Sciences

Advanced Statistics for the Behavioral Sciences
Author: Jonathon D. Brown
Publsiher: Unknown
Total Pages: 135
Release: 2018
ISBN: 9783319935485
Category: Mathematical statistics
Language: EN, FR, DE, ES & NL

Advanced Statistics for the Behavioral Sciences Book Excerpt:

This book demonstrates the importance of computer-generated statistical analyses in behavioral science research, particularly those using the R software environment. Statistical methods are being increasingly developed and refined by computer scientists, with expertise in writing efficient and elegant computer code. Unfortunately, many researchers lack this programming background, leaving them to accept on faith the black-box output that emerges from the sophisticated statistical models they frequently use. Building on the author's previous volume, Linear Models in Matrix Form, this text bridges the gap between computer science and research application, providing easy-to-follow computer code for many statistical analyses using the R software environment. The text opens with a foundational section on linear algebra, then covers a variety of advanced topics, including robust regression, model selection based on bias and efficiency, nonlinear models and optimization routines, generalized linear models, and survival and time-series analysis. Each section concludes with a presentation of the computer code used to illuminate the analysis, as well as pointers to packages in R that can be used for similar analyses and nonstandard cases. The accessible code and breadth of topics make this book an ideal tool for graduate students or researchers in the behavioral sciences who are interested in performing advanced statistical analyses without having a sophisticated background in computer science and mathematics. Jonathon D. Brown is a social psychologist at the University of Washington. Since receiving his Ph. D. from UCLA in 1986, he has written three books, authored more than 75 journal articles and chapters, received a Presidential Young Investigator Award from the National Science Foundation, and been recognized as one of social psychology's most frequently-cited authors.

Network Psychometrics with R

Network Psychometrics with R
Author: Adela-Maria Isvoranu,Sacha Epskamp,Lourens Waldorp,Denny Borsboom
Publsiher: Routledge
Total Pages: 256
Release: 2022-03-22
ISBN: 9780367628765
Category: Electronic Book
Language: EN, FR, DE, ES & NL

Network Psychometrics with R Book Excerpt:

A systematic, innovative introduction to the field of network analysis, Network Psychometrics with R: A Guide for Behavioral and Social Scientists provides a comprehensive overview of and guide to both the theoretical foundations of network psychometrics as well as modelling techniques developed from this perspective. Written by pioneers in the field, this textbook showcases cutting-edge methods in an easily accessible format, accompanied by problem sets and code. After working through this book, readers will be able to understand the theoretical foundations behind network modelling, infer network topology, and estimate network parameters from different sources of data. This book features an introduction on the statistical programming language R that guides readers on how to analyse network structures and their stability using R. While Network Psychometrics with R is written in the context of social and behavioral science, the methods introduced in this book are widely applicable to data sets from related fields of study. Additionally, while the text is written in a non-technical manner, technical content is highlighted in textboxes for the interested reader. Network Psychometrics with R is ideal for instructors and students of undergraduate and graduate level courses and workshops in the field of network psychometrics as well as established researchers looking to master new methods.

Categorical Data Analysis for the Behavioral and Social Sciences

Categorical Data Analysis for the Behavioral and Social Sciences
Author: Razia Azen,Cindy M. Walker
Publsiher: Routledge
Total Pages: 326
Release: 2021-05-27
ISBN: 1000383938
Category: Psychology
Language: EN, FR, DE, ES & NL

Categorical Data Analysis for the Behavioral and Social Sciences Book Excerpt:

Featuring a practical approach with numerous examples, the second edition of Categorical Data Analysis for the Behavioral and Social Sciences focuses on helping the reader develop a conceptual understanding of categorical methods, making it a much more accessible text than others on the market. The authors cover common categorical analysis methods and emphasize specific research questions that can be addressed by each analytic procedure, including how to obtain results using SPSS, SAS, and R, so that readers are able to address the research questions they wish to answer. Each chapter begins with a "Look Ahead" section to highlight key content. This is followed by an in-depth focus and explanation of the relationship between the initial research question, the use of software to perform the analyses, and how to interpret the output substantively. Included at the end of each chapter are a range of software examples and questions to test knowledge. New to the second edition: The addition of R syntax for all analyses and an update of SPSS and SAS syntax. The addition of a new chapter on GLMMs. Clarification of concepts and ideas that graduate students found confusing, including revised problems at the end of the chapters. Written for those without an extensive mathematical background, this book is ideal for a graduate course in categorical data analysis taught in departments of psychology, educational psychology, human development and family studies, sociology, public health, and business. Researchers in these disciplines interested in applying these procedures will also appreciate this book’s accessible approach.

Modern Statistics for the Social and Behavioral Sciences

Modern Statistics for the Social and Behavioral Sciences
Author: Rand Wilcox
Publsiher: CRC Press
Total Pages: 730
Release: 2017-08-15
ISBN: 1498796796
Category: Mathematics
Language: EN, FR, DE, ES & NL

Modern Statistics for the Social and Behavioral Sciences Book Excerpt:

Requiring no prior training, Modern Statistics for the Social and Behavioral Sciences provides a two-semester, graduate-level introduction to basic statistical techniques that takes into account recent advances and insights that are typically ignored in an introductory course. Hundreds of journal articles make it clear that basic techniques, routinely taught and used, can perform poorly when dealing with skewed distributions, outliers, heteroscedasticity (unequal variances) and curvature. Methods for dealing with these concerns have been derived and can provide a deeper, more accurate and more nuanced understanding of data. A conceptual basis is provided for understanding when and why standard methods can have poor power and yield misleading measures of effect size. Modern techniques for dealing with known concerns are described and illustrated. Features: Presents an in-depth description of both classic and modern methods Explains and illustrates why recent advances can provide more power and a deeper understanding of data Provides numerous illustrations using the software R Includes an R package with over 1300 functions Includes a solution manual giving detailed answers to all of the exercises This second edition describes many recent advances relevant to basic techniques. For example, a vast array of new and improved methods is now available for dealing with regression, including substantially improved ANCOVA techniques. The coverage of multiple comparison procedures has been expanded and new ANOVA techniques are described. Rand Wilcox is a professor of psychology at the University of Southern California. He is the author of 13 other statistics books and the creator of the R package WRS. He currently serves as an associate editor for five statistics journals. He is a fellow of the Association for Psychological Science and an elected member of the International Statistical Institute.

Modern Statistics for the Social and Behavioral Sciences

Modern Statistics for the Social and Behavioral Sciences
Author: Rand R. Wilcox
Publsiher: Unknown
Total Pages: 862
Release: 2011
ISBN: 9780429098802
Category: Psychology
Language: EN, FR, DE, ES & NL

Modern Statistics for the Social and Behavioral Sciences Book Excerpt:

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.

Introductory Statistics for the Behavioral Sciences

Introductory Statistics for the Behavioral Sciences
Author: Joan Welkowitz,Barry H. Cohen,Robert B. Ewen
Publsiher: John Wiley & Sons
Total Pages: 515
Release: 2006
ISBN: 1928374650XXX
Category: Psychology
Language: EN, FR, DE, ES & NL

Introductory Statistics for the Behavioral Sciences Book Excerpt:

A comprehensive and user-friendly introduction to statistics-now revised and updated Introductory Statistics for the Behavioral Sciences has had a long and successful history and is a popular and well-respected statistics text. Now in its sixth edition, the text has been thoroughly revised to present all the topics students in the behavioral sciences need in a uniquely accessible format that aids in the comprehension and implementation of the statistical analyses most commonly used in the behavioral sciences. Using a continuous narrative that explains statistics and tracks a common data set throughout, the authors have developed an innovative approach that makes the material unintimidating and memorable, providing a framework that connects all of the topics in the text and allows for easy comparison of different statistical analyses. New features in this Sixth Edition include: * Different aspects of a common data set are used to illustrate the various statistical methods throughout the text, with an emphasis on drawing connections between seemingly disparate statistical procedures and formulas * Computer exercises based on the same large data set and relevant to that chapter's content. The data set can be analyzed by any available statistical software * New "Bridge to SPSS" sections at the end of each chapter explain, for those using this very popular statistical package, how to perform that chapter's statistical procedures by computer, and how to translate the output from SPSS * New chapters on multiple comparisons and repeated-measures ANOVA

Big Data and Social Science

Big Data and Social Science
Author: Ian Foster,Rayid Ghani,Ron S. Jarmin,Frauke Kreuter,Julia Lane
Publsiher: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences
Total Pages: 391
Release: 2020-11-18
ISBN: 9780367568597
Category: Big data
Language: EN, FR, DE, ES & NL

Big Data and Social Science Book Excerpt:

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 workbooks with data, code, and 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.

Regression Analysis in R

Regression Analysis in R
Author: Jocelyn E. Bolin,Jocelyn H. Bolin
Publsiher: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences
Total Pages: 168
Release: 2022
ISBN: 9781032257754
Category: Regression analysis
Language: EN, FR, DE, ES & NL

Regression Analysis in R Book Excerpt:

This book covers the basic applications of multiple linear regression all the way through to more complex regression applications and extensions. Written for graduate level students of social science disciplines this book walks readers through bivariate correlation.