Research Methods Using R

Author : Randall E. Schumacker
Publisher : SAGE Publications
Page : 648 pages
File Size : 42,6 Mb
Release : 2014-01-28
Category : Social Science
ISBN : 9781483324777

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Learning Statistics Using R by Randall E. Schumacker Pdf

Providing easy-to-use R script programs that teach descriptive statistics, graphing, and other statistical methods, Learning Statistics Using R shows readers how to run and utilize R, a free integrated statistical suite that has an extensive library of functions. Randall E. Schumacker’s comprehensive book describes in detail the processing of variables in statistical procedures. Covering a wide range of topics, from probability and sampling distribution to statistical theorems and chi-square, this introductory book helps readers learn not only how to use formulae to calculate statistics, but also how specific statistics fit into the overall research process. Learning Statistics Using R covers data input from vectors, arrays, matrices and data frames, as well as the input of data sets from SPSS, SAS, STATA and other software packages. Schumacker’s text provides the freedom to effectively calculate, manipulate, and graphically display data, using R, on different computer operating systems without the expense of commercial software. Learning Statistics Using R places statistics within the framework of conducting research, where statistical research hypotheses can be directly addressed. Each chapter includes discussion and explanations, tables and graphs, and R functions and outputs to enrich readers′ understanding of statistics through statistical computing and modeling.

Author : Daniel H. Baker (Senior lecturer)
Publisher : Unknown
Page : 0 pages
File Size : 46,5 Mb
Release : 2023
Category : Life sciences
ISBN : 0191975117

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Research Methods Using R by Daniel H. Baker (Senior lecturer) Pdf

Providing complete coverage of advanced research methods for undergraduates, Daniel H. Baker supports students in their mastery of more advanced research methods and their application in R. This brand new title brings together coverage of a variety of topics for readers with basic statistical knowledge. It begins with material on the fundamental tools - nonlinear curve fitting and function optimization, stochastic methods, and Fourier (frequency) analysis - before leading readers on to more specialist content - bivariate and multivariate statistics, Bayesian statistics, and machine learning methods. Several chapters also discuss methods that can be used to improve research practises, including power analysis, meta-analysis, reproducible data analysis.

Author : Daniel H. Baker
Publisher : Unknown
Page : 0 pages
File Size : 46,7 Mb
Release : 2022
Category : Electronic
ISBN : 0192649795

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Research Methods Using R by Daniel H. Baker Pdf

Author : Walter Leite
Publisher : SAGE Publications
Page : 225 pages
File Size : 55,8 Mb
Release : 2016-10-28
Category : Social Science
ISBN : 9781483313399

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Practical Propensity Score Methods Using R by Walter Leite Pdf

Practical Propensity Score Methods Using R by Walter Leite is a practical book that uses a step-by-step analysis of realistic examples to help students understand the theory and code for implementing propensity score analysis with the R statistical language. With a comparison of both well-established and cutting-edge propensity score methods, the text highlights where solid guidelines exist to support best practices and where there is scarcity of research. Readers will find that this scaffolded approach to R and the book’s free online resources help them apply the text’s concepts to the analysis of their own data.

Author : Daniel Navarro
Publisher : Lulu.com
Page : 617 pages
File Size : 49,9 Mb
Release : 2013-01-13
Category : Psychology
ISBN : 9781326189723

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Learning Statistics with R by Daniel Navarro Pdf

"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

Author : Hrishikesh D. Vinod
Publisher : Springer Science & Business Media
Page : 219 pages
File Size : 43,5 Mb
Release : 2009-12-24
Category : Business & Economics
ISBN : 9781441917645

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Advances in Social Science Research Using R by Hrishikesh D. Vinod Pdf

Quantitative social science research has been expanding due to the ava- ability of computers and data over the past few decades. Yet the textbooks and supplements for researchers do not adequately highlight the revolution created by the R software [2] and graphics system. R is fast becoming the l- gua franca of quantitative research with some 2000 free specialized packages, where the latest versions can be downloaded in seconds. Many packages such as “car” [1] developed by social scientists are popular among all scientists. An early 2009 article [3] in the New York Times notes that statisticians, engineers and scientists without computer programming skills ?nd R “easy to use.” A common language R can readily promote deeper mutual respect and understanding of unique problems facing quantitative work in various social sciences. Often the solutions developed in one ?eld can be extended and used in many ?elds. This book promotes just such exchange of ideas across many social sciences. Since Springer has played a leadership role in promoting R, we are fortunate to have Springer publish this book. A Conference on Quantitative Social Science Research Using R was held in New York City at the Lincoln Center campus of Fordham University, June 18–19, 2009. This book contains selected papers presented at the conference, representing the “Proceedings” of the conference.

Author : Vivek M. Belhekar
Publisher : SAGE Publications Pvt. Limited
Page : 0 pages
File Size : 43,5 Mb
Release : 2016-10-31
Category : Psychology
ISBN : 9385985000

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Statistics for Psychology Using R by Vivek M. Belhekar Pdf

A unique textbook introducing and demonstrating the use of R in psychology. Statistics for Psychology Using R comprehensively covers standard statistical methods along with advanced topics such as multivariate techniques, factor analysis, and multiple regression widely used in the field of psychology and other social sciences. Its innovative structure and pedagogical approach coupled with numerous worked-out examples and self-assessment tests make it a user-friendly and easy-to-understand companion for students and scholars with limited background in statistics. The standout feature of this textbook is that it demonstrates the application of R—a free, flexible, and dynamically changing software for statistical computing and data analysis, which is becoming increasingly popular across social and behavioral sciences.

Author : Chris Chapman,Elea McDonnell Feit
Publisher : Springer
Page : 454 pages
File Size : 46,5 Mb
Release : 2015-03-09
Category : Business & Economics
ISBN : 9783319144368

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R for Marketing Research and Analytics by Chris Chapman,Elea McDonnell Feit Pdf

This book is a complete introduction to the power of R for marketing research practitioners. The text describes statistical models from a conceptual point of view with a minimal amount of mathematics, presuming only an introductory knowledge of statistics. Hands-on chapters accelerate the learning curve by asking readers to interact with R from the beginning. Core topics include the R language, basic statistics, linear modeling, and data visualization, which is presented throughout as an integral part of analysis. Later chapters cover more advanced topics yet are intended to be approachable for all analysts. These sections examine logistic regression, customer segmentation, hierarchical linear modeling, market basket analysis, structural equation modeling, and conjoint analysis in R. The text uniquely presents Bayesian models with a minimally complex approach, demonstrating and explaining Bayesian methods alongside traditional analyses for analysis of variance, linear models, and metric and choice-based conjoint analysis. With its emphasis on data visualization, model assessment, and development of statistical intuition, this book provides guidance for any analyst looking to develop or improve skills in R for marketing applications.

Author : Thomas P. Hogan
Publisher : SAGE
Page : 97 pages
File Size : 47,8 Mb
Release : 2010
Category : Computers
ISBN : 9781412980418

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Bare-Bones R by Thomas P. Hogan Pdf

A practical, hands-on introduction to the elements of R and R Commander.

Author : Roy Sabo,Edward Boone
Publisher : Springer Science & Business Media
Page : 218 pages
File Size : 55,7 Mb
Release : 2013-10-22
Category : Medical
ISBN : 9781461487081

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Statistical Research Methods by Roy Sabo,Edward Boone Pdf

This textbook will help graduate students in non-statistics disciplines, advanced undergraduate researchers, and research faculty in the health sciences to learn, use and communicate results from many commonly used statistical methods. The material covered, and the manner in which it is presented, describe the entire data analysis process from hypothesis generation to writing the results in a manuscript. Chapters cover, among other topics: one and two-sample proportions, multi-category data, one and two-sample means, analysis of variance, and regression. Throughout the text, the authors explain statistical procedures and concepts using a non-statistical language. This accessible approach is complete with real-world examples and sample write-ups for the Methods and Results sections of scholarly papers. The text also allows for the concurrent use of the programming language R, which is an open-source program created, maintained and updated by the statistical community. R is freely available and easy to download.

Author : Jerry R. Thomas,Philip Martin,Jennifer L. Etnier,Stephen J. Silverman
Publisher : Human Kinetics
Page : 505 pages
File Size : 41,7 Mb
Release : 2022-05-03
Category : Education
ISBN : 9781718201026

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Research Methods in Physical Activity by Jerry R. Thomas,Philip Martin,Jennifer L. Etnier,Stephen J. Silverman Pdf

Research Methods in Physical Activity, Eighth Edition, offers step-by-step information for every aspect of the research process, providing guidelines for research methods so that students feel capable and confident using research techniques in kinesiology and exercise science disciplines

Author : Andy Field,Jeremy Miles,Zoë Field
Publisher : SAGE
Page : 993 pages
File Size : 50,8 Mb
Release : 2012-03-07
Category : Reference
ISBN : 9781446258460

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Discovering Statistics Using R by Andy Field,Jeremy Miles,Zoë Field Pdf

Keeping the uniquely humorous and self-deprecating style that has made students across the world fall in love with Andy Field′s books, Discovering Statistics Using R takes students on a journey of statistical discovery using R, a free, flexible and dynamically changing software tool for data analysis that is becoming increasingly popular across the social and behavioural sciences throughout the world. The journey begins by explaining basic statistical and research concepts before a guided tour of the R software environment. Next you discover the importance of exploring and graphing data, before moving onto statistical tests that are the foundations of the rest of the book (for example correlation and regression). You will then stride confidently into intermediate level analyses such as ANOVA, before ending your journey with advanced techniques such as MANOVA and multilevel models. Although there is enough theory to help you gain the necessary conceptual understanding of what you′re doing, the emphasis is on applying what you learn to playful and real-world examples that should make the experience more fun than you might expect. Like its sister textbooks, Discovering Statistics Using R is written in an irreverent style and follows the same ground-breaking structure and pedagogical approach. The core material is augmented by a cast of characters to help the reader on their way, together with hundreds of examples, self-assessment tests to consolidate knowledge, and additional website material for those wanting to learn more. Given this book′s accessibility, fun spirit, and use of bizarre real-world research it should be essential for anyone wanting to learn about statistics using the freely-available R software.

Author : Martin Elff
Publisher : Sage Publications Limited
Page : 256 pages
File Size : 47,5 Mb
Release : 2021-01-09
Category : Social Science
ISBN : 1526459965

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Data Management in R by Martin Elff Pdf

An invaluable step-by-step, pedagogically engaging guide to data management in R for social science researchers, this book shows students how to recode and document data, as well as how to combine data from different sources or import from statistical packages other than R.

Author : Louis Cohen,Lawrence Manion,Keith Morrison
Publisher : Routledge
Page : 786 pages
File Size : 52,7 Mb
Release : 2013-03-07
Category : Education
ISBN : 9781135722036

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Research Methods in Education by Louis Cohen,Lawrence Manion,Keith Morrison Pdf

This rewritten, expanded and updated 7th edition of the long-running bestseller Research Methods in Education encompasses the whole range of methods currently employed by educational research at all stages. It offers plentiful and rich practical advice, underpinned by clear theoretical foundations, research evidence and up-to-date references. Chapters new to this edition cover: Causation, critical educational research, evaluation and the politics of research, including material on cross-cultural research, mixed methods and participatory research Choosing and planning a research project, including material on sampling, research questions, literature reviews and ethical issues Meta-analysis, research syntheses and systematic reviews Virtual worlds and internet research Using and analysing visual media and data in educational research Organizing and presenting qualitative data, content analysis, coding and computer analysis, themes, narratives, conversations and discourses, grounded theory Understanding and choosing statistical tests, descriptive and inferential statistics, multi-dimensional measurement and factor analysis Research Methods in Education is essential reading for both the professional researcher and students of education at undergraduate and postgraduate level, who need to understand how to plan, conduct, analyse and use research. The textbook is accompanied by a website: www.routledge.com/textbooks/cohen7e. PowerPoint slides for every chapter contain an outline of the chapter structure followed by a thorough summary of the key points, ideal for both lecturers and students.? Within the book a variety of internet resources are referred to and these references have been included here, with links to the websites.? A wide range of supplementary documents are available for many chapters, providing additional guidance and examples.? They range from guidelines for the contents of a research proposal with a worked example, to screen-print manuals for using SPSS and QSR N6 NUD*IST (exportable to N-Vivo) plus data files.

Author : Matthias R. Mehl,Tamlin S. Conner
Publisher : Guilford Publications
Page : 705 pages
File Size : 49,7 Mb
Release : 2013-10-01
Category : Psychology
ISBN : 9781462513055

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Handbook of Research Methods for Studying Daily Life by Matthias R. Mehl,Tamlin S. Conner Pdf

Bringing together leading authorities, this unique handbook reviews the breadth of current approaches for studying how people think, feel, and behave in everyday environments, rather than in the laboratory. The volume thoroughly describes experience sampling methods, diary methods, physiological measures, and other self-report and non-self-report tools that allow for repeated, real-time measurement in natural settings. Practical guidance is provided to help the reader design a high-quality study, select and implement appropriate methods, and analyze the resulting data using cutting-edge statistical techniques. Applications across a wide range of psychological subfields and research areas are discussed in detail.