A Guide To R For Social And Behavioral Science Statistics

Author : Brian Joseph Gillespie,Kathleen Charli Hibbert,William E. Wagner, III
Publisher : SAGE Publications
Page : 268 pages
File Size : 43,9 Mb
Release : 2020-02-07
Category : Social Science
ISBN : 9781544344003

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A Guide to R for Social and Behavioral Science Statistics by Brian Joseph Gillespie,Kathleen Charli Hibbert,William E. Wagner, III Pdf

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.

Author : Barry H. Cohen,R. Brooke Lea
Publisher : John Wiley & Sons
Page : 291 pages
File Size : 45,7 Mb
Release : 2004-04-01
Category : Psychology
ISBN : 9780471480761

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Essentials of Statistics for the Social and Behavioral Sciences by Barry H. Cohen,R. Brooke Lea Pdf

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.

Author : Adela-Maria Isvoranu,Sacha Epskamp,Lourens Waldorp,Denny Borsboom
Publisher : Routledge
Page : 269 pages
File Size : 52,6 Mb
Release : 2022-04-28
Category : Psychology
ISBN : 9781000541113

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Network Psychometrics with R by Adela-Maria Isvoranu,Sacha Epskamp,Lourens Waldorp,Denny Borsboom Pdf

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.

Author : David B. Flora
Publisher : SAGE
Page : 769 pages
File Size : 51,5 Mb
Release : 2017-12-11
Category : Social Science
ISBN : 9781526421920

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Statistical Methods for the Social and Behavioural Sciences by David B. Flora Pdf

Statistical methods in modern research increasingly entail developing, estimating and testing models for data. Rather than rigid methods of data analysis, the need today is for more flexible methods for modelling data. In this logical, easy-to-follow and exceptionally clear book, David Flora provides a comprehensive survey of the major statistical procedures currently used. His innovative model-based approach teaches you how to: Understand and choose the right statistical model to fit your data Match substantive theory and statistical models Apply statistical procedures hands-on, with example data analyses Develop and use graphs to understand data and fit models to data Work with statistical modeling principles using any software package Learn by applying, with input and output files for R, SAS, SPSS, and Mplus. Statistical Methods for the Social and Behavioural Sciences: A Model Based Approach is the essential guide for those looking to extend their understanding of the principles of statistics, and begin using the right statistical modeling method for their own data. It is particularly suited to second or advanced courses in statistical methods across the social and behavioural sciences.

Author : Jacob Cohen
Publisher : Routledge
Page : 625 pages
File Size : 42,8 Mb
Release : 2013-05-13
Category : Psychology
ISBN : 9781134742776

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Statistical Power Analysis for the Behavioral Sciences by Jacob Cohen Pdf

Statistical Power Analysis is a nontechnical guide to power analysis in research planning that provides users of applied statistics with the tools they need for more effective analysis. The Second Edition includes: * a chapter covering power analysis in set correlation and multivariate methods; * a chapter considering effect size, psychometric reliability, and the efficacy of "qualifying" dependent variables and; * expanded power and sample size tables for multiple regression/correlation.

Author : Jeffrey D. Long
Publisher : SAGE
Page : 569 pages
File Size : 49,9 Mb
Release : 2012
Category : Social Science
ISBN : 9781412982689

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Longitudinal Data Analysis for the Behavioral Sciences Using R by Jeffrey D. Long Pdf

This book is a practical guide for the analysis of longitudinal behavioural data. Longitudinal data consist of repeated measures collected on the same subjects over time.

Author : Rand Wilcox
Publisher : CRC Press
Page : 862 pages
File Size : 48,9 Mb
Release : 2011-08-05
Category : Mathematics
ISBN : 9781439834565

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Modern Statistics for the Social and Behavioral Sciences by Rand Wilcox Pdf

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.

Author : Rand Wilcox
Publisher : CRC Press
Page : 1084 pages
File Size : 51,7 Mb
Release : 2017-08-15
Category : Mathematics
ISBN : 9781498796804

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Modern Statistics for the Social and Behavioral Sciences by Rand Wilcox Pdf

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.

Author : William E. Wagner, III,Brian Joseph Gillespie
Publisher : SAGE Publications
Page : 142 pages
File Size : 50,8 Mb
Release : 2018-02-28
Category : Social Science
ISBN : 9781544321097

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Using and Interpreting Statistics in the Social, Behavioral, and Health Sciences by William E. Wagner, III,Brian Joseph Gillespie Pdf

Using and Interpreting Statistics in the Social, Behavioral, and Health Sciences is designed to be paired with any undergraduate introduction to research methods text used by students in a variety of disciplines. It introduces students to statistics at the conceptual level—examining the meaning of statistics, and why researchers use a particular statistical technique, rather than computational skills. Focusing on descriptive statistics, and some more advanced topics such as tests of significance, measures of association, and regression analysis, this brief, inexpensive text is the perfect companion to help students who have not yet taken an introductory statistics course or are confused by the statistics used in the articles they are reading.

Author : Rand R. Wilcox
Publisher : Unknown
Page : 128 pages
File Size : 51,6 Mb
Release : 2017
Category : Psychology
ISBN : 1498796818

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Modern Statistics for the Social and Behavioral Sciences by Rand R. Wilcox Pdf

Author : Jonathon D. Brown
Publisher : Unknown
Page : 128 pages
File Size : 45,5 Mb
Release : 2018
Category : Mathematical statistics
ISBN : 3319935488

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Advanced Statistics for the Behavioral Sciences by Jonathon D. Brown Pdf

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.

Author : Ryan Kennedy,Philip D. Waggoner
Publisher : CRC Press
Page : 225 pages
File Size : 53,5 Mb
Release : 2021-02-11
Category : Mathematics
ISBN : 9781000353877

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Introduction to R for Social Scientists by Ryan Kennedy,Philip D. Waggoner Pdf

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.

Author : Steven P. Schacht
Publisher : Routledge
Page : 321 pages
File Size : 41,7 Mb
Release : 2018-05-04
Category : Social Science
ISBN : 9780429965852

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Social and Behavioral Statistics by Steven P. Schacht Pdf

Revised and updated to include the behavioral sciences, the second edition of this introductory statistics book engages students with real-world examples and exercises. To the dismay of many social and behavioral science majors, successfully passing a statistics course in sociology, psychology, and most other social/behavioral science programs is required, and at many institutions statistics is becoming a university-wide requirement. In this newly revised text, the authors continue to make use of their proven stress-busting approach to teaching statistics to self-describe math phobic students. This book uses humorous examples and step-by-step presentations of statistical procedures to illustrate what are often complex and hard-to-grasp statistical concepts. Students and instructors will find this text to be a helpful, easy to interpret and thoroughly comprehensive introduction to social and behavioral statistics. Perfect for social and behavioral sciences upper-level undergrads fearful of that required stats course. It uses stress-busting features like cartoons and real-world examples to illustrate what are often complex and hard-to-grasp statistical concepts. Includes the newest and most necessary tools for students to master statistical skills making handouts or additional books unnecessary and gives instructors and their students a compact and affordable main text for their introductory stats courses.

Author : Wendy Zeitlin,Charles Auerbach
Publisher : Oxford University Press
Page : 352 pages
File Size : 44,7 Mb
Release : 2019-02-25
Category : Social Science
ISBN : 9780190620196

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Basic Statistics for the Behavioral and Social Sciences Using R by Wendy Zeitlin,Charles Auerbach Pdf

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.

Author : Barry H. Cohen,R. Brooke Lea
Publisher : For Dummies
Page : 128 pages
File Size : 53,8 Mb
Release : 2007-10
Category : Psychology
ISBN : 0470277769

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Essentials of Statistics for the Social and Behavioral Sciences with Statistics Workbook for Dummies Set by Barry H. Cohen,R. Brooke Lea Pdf

Master the essential statistical skills used in social and behavioral sciences Essentials of Statistics for the Social and Behavioral Sciences distills the overwhelming amount of material covered in introductory statistics courses into a handy, practical resource for students and professionals. This accessible guide covers basic to advanced concepts in a clear, concrete, and readable style. Essentials of Statistics for the Social and Behavioral Sciences guides you to a better understanding of basic concepts of statistical methods. Numerous practical tips are presented for selecting appropriate statistical procedures. In addition, this useful guide demonstrates how to evaluate and interpret statistical data, provides numerous formulas for calculating statistics from tables of summary statistics, and offers a variety of worked examples. As part of the Essentials of Behavioral Science series, this book offers a thorough review of the most relevant statistical concepts and techniques that will arm you with the tools you'll need for knowledgeable, informed practice. Each concise chapter features numerous 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 the information covered.