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A Guide To R For Social And Behavioral Science Statistics
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Author :Brian Joseph Gillespie Publisher :Sage Publications, Incorporated ISBN 13 :9781544344027 Total Pages :304 pages Book Rating :4.3/5 (44 download)
Book Synopsis A Guide to R for Social and Behavioral Science Statistics by : Brian Joseph Gillespie
Download or read book A Guide to R for Social and Behavioral Science Statistics written by Brian Joseph Gillespie and published by Sage Publications, Incorporated. This book was released on 2020-03-10 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis A Guide to R for Social and Behavioral Science Statistics by : Brian Joseph Gillespie
Download or read book A Guide to R for Social and Behavioral Science Statistics written by Brian Joseph Gillespie and published by SAGE Publications. This book was released on 2020-02-07 with total page 305 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Using Basic Statistics in the Behavioral and Social Sciences by : Annabel Ness Evans
Download or read book Using Basic Statistics in the Behavioral and Social Sciences written by Annabel Ness Evans and published by SAGE Publications. This book was released on 2013-06-06 with total page 605 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 experience in introductory courses. Avoiding complex notation and derivations, the book focuses on helping readers develop an understanding of the underlying logic of statistics, rather than rote memorization. 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.
Book Synopsis Network Psychometrics with R by : Adela-Maria Isvoranu
Download or read book Network Psychometrics with R written by Adela-Maria Isvoranu and published by Taylor & Francis. This book was released on 2022-04-28 with total page 261 pages. Available in PDF, EPUB and Kindle. 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.
Book Synopsis Becoming a Behavioral Science Researcher by : Rex B. Kline
Download or read book Becoming a Behavioral Science Researcher written by Rex B. Kline and published by Guilford Press. This book was released on 2008-08-21 with total page 383 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book has been replaced by Becoming a Behavioral Science Researcher, Second Edition, ISBN 978-1-4625-3879-9.
Book Synopsis Essentials of Statistics for the Social and Behavioral Sciences by : Barry H. Cohen
Download or read book Essentials of Statistics for the Social and Behavioral Sciences written by Barry H. Cohen and published by John Wiley & Sons. This book was released on 2004 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: Summarizing the material ordinarily covered in an introductory statistics course, this handbook introduces basic concepts and statistical methods. It also offers practical advice concerning the selection of procedures, demonstrates the means of evaluating and interpreting data, provides numerous formulas, and supplies a variety of worked examples. The authors teach psychology at New York University and Macalester College. Annotation ♭2004 Book News, Inc., Portland, OR (booknews.com).
Download or read book Serious Stat written by Thomas Baguley and published by Bloomsbury Publishing. This book was released on 2018-01-24 with total page 864 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ideal for experienced students and researchers in the social sciences who wish to refresh or extend their understanding of statistics, and to apply advanced statistical procedures using SPSS or R. Key theory is reviewed and illustrated with examples of how to apply these concepts using real data.
Book Synopsis Statistics for the Behavioral Sciences by : Susan A. Nolan
Download or read book Statistics for the Behavioral Sciences written by Susan A. Nolan and published by Macmillan. This book was released on 2011-02 with total page 710 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nolan and Heinzen’s engaging introduction to statistics has captivated students with its easy readability and vivid examples drawn from everyday life. The mathematics of statistical reasoning are made accessible with careful explanations and a helpful three-tier approach to working through exercises: Clarifying the Concepts, Calculating the Statistics, and Applying the Concepts. New pedagogy, end-of-chapter material, and the groundbreaking learning space StatsPortal give students even more tools to help them master statistics than ever before.
Book Synopsis Longitudinal Data Analysis for the Behavioral Sciences Using R by : Jeffrey D. Long
Download or read book Longitudinal Data Analysis for the Behavioral Sciences Using R written by Jeffrey D. Long and published by SAGE. This book was released on 2012 with total page 569 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Learning Statistics with R by : Daniel Navarro
Download or read book Learning Statistics with R written by Daniel Navarro and published by Lulu.com. This book was released on 2013-01-13 with total page 617 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Learning Statistics with R" covers the contents of an introductory statistics class, as typically taught to undergraduate psychology students, focusing on the use of the R statistical software and adopting a light, conversational style throughout. The book discusses how to get started in R, and gives an introduction to data manipulation and writing scripts. From a statistical perspective, the book discusses descriptive statistics and graphing first, followed by chapters on probability theory, sampling and estimation, and null hypothesis testing. After introducing the theory, the book covers the analysis of contingency tables, t-tests, ANOVAs and regression. Bayesian statistics are covered at the end of the book. For more information (and the opportunity to check the book out before you buy!) visit http://ua.edu.au/ccs/teaching/lsr or http://learningstatisticswithr.com
Book Synopsis Multivariable Modeling and Multivariate Analysis for the Behavioral Sciences by : Brian S. Everitt
Download or read book Multivariable Modeling and Multivariate Analysis for the Behavioral Sciences written by Brian S. Everitt and published by CRC Press. This book was released on 2009-09-28 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multivariable Modeling and Multivariate Analysis for the Behavioral Sciences shows students how to apply statistical methods to behavioral science data in a sensible manner. Assuming some familiarity with introductory statistics, the book analyzes a host of real-world data to provide useful answers to real-life issues.The author begins by exploring
Book Synopsis Statistical Power Analysis for the Behavioral Sciences by : Jacob Cohen
Download or read book Statistical Power Analysis for the Behavioral Sciences written by Jacob Cohen and published by Routledge. This book was released on 2013-05-13 with total page 625 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis R for Political Data Science by : Francisco Urdinez
Download or read book R for Political Data Science written by Francisco Urdinez and published by CRC Press. This book was released on 2020-11-18 with total page 473 pages. Available in PDF, EPUB and Kindle. Book excerpt: R for Political Data Science: A Practical Guide is a handbook for political scientists new to R who want to learn the most useful and common ways to interpret and analyze political data. It was written by political scientists, thinking about the many real-world problems faced in their work. The book has 16 chapters and is organized in three sections. The first, on the use of R, is for those users who are learning R or are migrating from another software. The second section, on econometric models, covers OLS, binary and survival models, panel data, and causal inference. The third section is a data science toolbox of some the most useful tools in the discipline: data imputation, fuzzy merge of large datasets, web mining, quantitative text analysis, network analysis, mapping, spatial cluster analysis, and principal component analysis. Key features: Each chapter has the most up-to-date and simple option available for each task, assuming minimal prerequisites and no previous experience in R Makes extensive use of the Tidyverse, the group of packages that has revolutionized the use of R Provides a step-by-step guide that you can replicate using your own data Includes exercises in every chapter for course use or self-study Focuses on practical-based approaches to statistical inference rather than mathematical formulae Supplemented by an R package, including all data As the title suggests, this book is highly applied in nature, and is designed as a toolbox for the reader. It can be used in methods and data science courses, at both the undergraduate and graduate levels. It will be equally useful for a university student pursuing a PhD, political consultants, or a public official, all of whom need to transform their datasets into substantive and easily interpretable conclusions.
Book Synopsis Statistical Methods for the Social and Behavioural Sciences by : David B. Flora
Download or read book Statistical Methods for the Social and Behavioural Sciences written by David B. Flora and published by SAGE. This book was released on 2017-12-11 with total page 786 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Bayesian Methods written by Jeff Gill and published by CRC Press. This book was released on 2007-11-26 with total page 696 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first edition of Bayesian Methods: A Social and Behavioral Sciences Approach helped pave the way for Bayesian approaches to become more prominent in social science methodology. While the focus remains on practical modeling and basic theory as well as on intuitive explanations and derivations without skipping steps, this second edition incorporates the latest methodology and recent changes in software offerings. New to the Second Edition Two chapters on Markov chain Monte Carlo (MCMC) that cover ergodicity, convergence, mixing, simulated annealing, reversible jump MCMC, and coupling Expanded coverage of Bayesian linear and hierarchical models More technical and philosophical details on prior distributions A dedicated R package (BaM) with data and code for the examples as well as a set of functions for practical purposes such as calculating highest posterior density (HPD) intervals Requiring only a basic working knowledge of linear algebra and calculus, this text is one of the few to offer a graduate-level introduction to Bayesian statistics for social scientists. It first introduces Bayesian statistics and inference, before moving on to assess model quality and fit. Subsequent chapters examine hierarchical models within a Bayesian context and explore MCMC techniques and other numerical methods. Concentrating on practical computing issues, the author includes specific details for Bayesian model building and testing and uses the R and BUGS software for examples and exercises.
Book Synopsis Multilevel Modeling Using R by : W. Holmes Finch
Download or read book Multilevel Modeling Using R written by W. Holmes Finch and published by CRC Press. This book was released on 2019-07-16 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt: Like its bestselling predecessor, Multilevel Modeling Using R, Second Edition provides the reader with a helpful guide to conducting multilevel data modeling using the R software environment. After reviewing standard linear models, the authors present the basics of multilevel models and explain how to fit these models using R. They then show how to employ multilevel modeling with longitudinal data and demonstrate the valuable graphical options in R. The book also describes models for categorical dependent variables in both single level and multilevel data. New in the Second Edition: Features the use of lmer (instead of lme) and including the most up to date approaches for obtaining confidence intervals for the model parameters. Discusses measures of R2 (the squared multiple correlation coefficient) and overall model fit. Adds a chapter on nonparametric and robust approaches to estimating multilevel models, including rank based, heavy tailed distributions, and the multilevel lasso. Includes a new chapter on multivariate multilevel models. Presents new sections on micro-macro models and multilevel generalized additive models. This thoroughly updated revision gives the reader state-of-the-art tools to launch their own investigations in multilevel modeling and gain insight into their research. About the Authors: W. Holmes Finch is the George and Frances Ball Distinguished Professor of Educational Psychology at Ball State University. Jocelyn E. Bolin is a Professor in the Department of Educational Psychology at Ball State University. Ken Kelley is the Edward F. Sorin Society Professor of IT, Analytics and Operations and the Associate Dean for Faculty and Research for the Mendoza College of Business at the University of Notre Dame.
Book Synopsis Statistics for the Behavioral Sciences by : Frederick J. Gravetter
Download or read book Statistics for the Behavioral Sciences written by Frederick J. Gravetter and published by . This book was released on 2017 with total page 732 pages. Available in PDF, EPUB and Kindle. Book excerpt:
