Zoe Field, Jeremy Miles, Andy Field:
Discovering Statistics Using R von Andy Field (Englisch) Hardcover-Buch - gebunden oder broschiert
ISBN: 9781446200452
His current research interests focus on barriers to learning mathematics and statistics.He is internationally known as a statistics educator. None of them matter anyway because in the unl… Mehr…
His current research interests focus on barriers to learning mathematics and statistics.He is internationally known as a statistics educator. None of them matter anyway because in the unlikely event that you?ve ever heard of him it?ll be as the ?Stats book guy?. The Nile on eBay FREE SHIPPING UK WIDE Discovering Statistics Using R by Andy Field, Jeremy Miles, Zoe Field The R version of Andy Field′s hugely popular Discovering Statistics Using SPSS takes students on a journey of statistical discovery using the freeware R - a free, flexible and dynamically changing software tool for data analysis that is becoming increasingly popular across the social and behavioural sciences. FORMATHardcover LANGUAGEEnglish CONDITIONBrand New Publisher Description 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 Biography Andy Field is Professor of Quantitative Methods at the University of Sussex. He has published widely (100+ research papers, 29 book chapters, and 17 books in various editions) in the areas of child anxiety and psychological methods and statistics. His current research interests focus on barriers to learning mathematics and statistics.He is internationally known as a statistics educator. He has written several widely used statistics textbooks including Discovering Statistics Using IBM SPSS Statistics (winner of the 2007 British Psychological Society book award), Discovering Statistics Using R, and An Adventure in Statistics (shortlisted for the British Psychological Society book award, 2017; British Book Design and Production Awards, primary, secondary and tertiary education category, 2016; and the Association of Learned & Professional Society Publishers Award for innovation in publishing, 2016), which teaches statistics through a fictional narrative and uses graphic novel elements. He has also written the adventr and discovr packages for the statistics software R that teach statistics and R through interactive tutorials.His uncontrollable enthusiasm for teaching statistics to psychologists has led to teaching awards from the University of Sussex (2001, 2015, 2016, 2018, 2019), the British Psychological Society (2006) and a prestigious UK National Teaching fellowship (2010).He′s done the usual academic things: had grants, been on editorial boards, done lots of admin/service but he finds it tedious trying to remember this stuff. None of them matter anyway because in the unlikely event that you′ve ever heard of him it′ll be as the ′Stats book guy′. In his spare time, he plays the drums very noisily in a heavy metal band, and walks his cocker spaniel, both of which he finds therapeutic.Jeremy Miles, RAND Corporation, USA. Zoë Field, University of Sussex, UK Table of Contents Why Is My Evil Lecturer Forcing Me to Learn Statistics?What will this chapter tell me?What the hell am I doing here? I don′t belong hereInitial observation: finding something that needs explainingGenerating theories and testing themData collection 1: what to measureData collection 2: how to measureAnalysing dataWhat have I discovered about statistics?Key terms that I′ve discoveredSmart Alex′s tasksFurther readingInteresting real researchEverything You Ever Wanted to Know About Statistics (Well, Sort of)What will this chapter tell me?Building statistical modelsPopulations and samplesSimple statistical modelsGoing beyond the dataUsing statistical models to test research questionsWhat have I discovered about statistics?Key terms that I′ve discoveredSmart Alex′s tasksFurther readingInteresting real researchThe R EnvironmentWhat will this chapter tell me?Before you startGetting startedUsing RGetting data into REntering data with R CommanderUsing other software to enter and edit dataSaving DataManipulating DataWhat have I discovered about statistics?R Packages Used in This ChapterR Functions Used in This ChapterKey terms that I′ve discoveredSmart Alex′s TasksFurther readingExploring Data with GraphsWhat will this chapter tell me?The art of presenting dataPackages used in this chapterIntroducing ggplot2Graphing relationships: the scatterplotHistograms: a good way to spot obvious problemsBoxplots (box-whisker diagrams)Density plotsGraphing meansThemes and optionsWhat have I discovered about statistics?R packages used in this chapterR functions used in this chapterKey terms that I′ve discoveredSmart Alex′s tasksFurther readingInteresting real researchExploring AssumptionsWhat will this chapter tell me?What are assumptions?Assumptions of parametric dataPackages used in this chapterThe assumption of normalityTesting whether a distribution is normalTesting for homogeneity of varianceCorrecting problems in the dataWhat have I discovered about statistics?R packages used in this chapterR functions used in this chapterKey terms that I′ve discoveredSmart Alex′s tasksFurther readingCorrelationWhat will this chapter tell me?Looking at relationshipsHow do we measure relationships?Data entry for correlation analysisBivariate correlationPartial correlationComparing correlationsCalculating the effect sizeHow to report correlation coefficentsWhat have I discovered about statistics?R packages used in this chapterR functions used in this chapterRegressionWhat will this chapter tell me?An Introduction to regressionPackages used in this chapterGeneral procedure for regression in RInterpreting a simple regressionMultiple regression: the basicsHow accurate is my regression model?How to do multiple regression using R Commander and RTesting the accuracy of your regression modelRobust regression: bootstrappingHow to report multiple regressionCategorical predictors and multiple regressionWhat have I discovered about statistics?R packages used in this chapterR functions used in this chapterKey terms that I′ve discoveredSmart Alex′s tasksFurther readingInteresting real researchLogistic RegressionWhat will this chapter tell me?Background to logistic regressionWhat are the principles behind logistic regression?Assumptions and things that can go wrongPackages used in this chapterBinary logistic regression: an example that will make you feel eelHow to report logistic regressionTesting assumptions: another examplePredicting several categories: multinomial logistic regressionWhat have I discovered about statistics?R packages used in this chapterR functions used in this chapterKey terms that I′ve discoveredSmart Alex′s tasksFurther readingInteresting real researchComparing Two MeansWhat will this chapter tell me?Packages used in this chapterLooking at differencesThe t-testThe independent t-testThe dependent t-testBetween groups or repeated measures?What have I discovered about statistics?R packages used in this chapterR functions used in this chapterKey terms that I′ve discoveredSmart Alex′s tasksFurther readingInteresting real researchComparing Several Means: ANOVA (GLM 1)What will this chapter tell me?The theory behind ANOVAAssumptions of ANOVAPlanned contrastsPost hoc proceduresOne-way ANOVA using RCalculating the effect sizeReporting results from one-way independent ANOVAWhat have I discovered about statistics?R packages used in this chapterR functions used in this chapterKey terms that I′ve discoveredSmart Alex′s tasksFurther readingInteresting real researchAnalysis of Covariance, ANCOVA (GLM 2)What will this chapter tell me?What is ANCOVA?Assumptions and issues in ANCOVAANCOVA using RRobust ANCOVACalculating the effect sizeReporting resultsWhat have I discovered about statistics?R packages used in this chapterR functions used in this chapterKey terms that I′ve discoveredSmart Alex′s tasksFurther readingInteresting real researchFactorial ANOVA (GLM 3)What will this chapter tell me?Theory of factorial ANOVA (independant design)Factorial ANOVA as regressionTwo-Way ANOVA: Behind the scenesFactorial ANOVA using RInterpreting interaction graphsRobust factorial ANOVACalculating effect sizesReporting the results of two-way ANOVAWhat have I discovered about statistics?R packages used in this chapterR functions used in this chapterKey terms that I′ve discov, SAGE Publications LTD<
