Discovering statistics using R. (2012)

• Record Type: Book
• Further Information: Note: Andy Field, Jeremy Miles, Zoë Field.
• Other Names: Field, Andy P; Miles, Jeremy, 1968-; Field, Zoë
• 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 here; Initial observation: finding something that needs explaining; Generating theories and testing them; Data collection 1: what to measure; Data collection 2: how to measure; Analysing data; What have I discovered about statistics?; Key terms that I've discovered; Smart Alex's tasks; Further reading; Interesting real research; Everything You Ever Wanted to Know About Statistics (Well, Sort of); What will this chapter tell me?; Building statistical models; Populations and samples; Simple statistical models; Going beyond the data; Using statistical models to test research questions; What have I discovered about statistics?; Key terms that I've discovered; Smart Alex's tasks; Further reading; Interesting real research; The R Environment; What will this chapter tell me?; Before you start; Getting started; Using R; Getting data into R; Entering data with R Commander; Using other software to enter and edit data; Saving Data; Manipulating Data; What have I discovered about statistics?; R Packages Used in This Chapter; R Functions Used in This Chapter; Key terms that I've discovered; Smart Alex's Tasks; Further reading; Exploring Data with Graphs; What will this chapter tell me?; The art of presenting data; Packages used in this chapter; Introducing ggplot2; Graphing relationships: the scatterplot; Histograms: a good way to spot obvious problems; Boxplots (box-whisker diagrams); Density plots; Graphing means; Themes and options; What have I discovered about statistics?; R packages used in this chapter; R functions used in this chapter; Key terms that I've discovered; Smart Alex's tasks; Further reading; Interesting real research; Exploring Assumptions; What will this chapter tell me?; What are assumptions?; Assumptions of parametric data; Packages used in this chapter; The assumption of normality; Testing whether a distribution is normal; Testing for homogeneity of variance; Correcting problems in the data; What have I discovered about statistics?; R packages used in this chapter; R functions used in this chapter; Key terms that I've discovered; Smart Alex's tasks; Further reading; Correlation; What will this chapter tell me?; Looking at relationships; How do we measure relationships?; Data entry for correlation analysis; Bivariate correlation; Partial correlation; Comparing correlations; Calculating the effect size; How to report correlation coefficents; What have I discovered about statistics?; R packages used in this chapter; R functions used in this chapter; Regression; What will this chapter tell me?; An Introduction to regression; Packages used in this chapter; General procedure for regression in R; Interpreting a simple regression; Multiple regression: the basics; How accurate is my regression model?; How to do multiple regression using R Commander and R; Testing the accuracy of your regression model; Robust regression: bootstrapping; How to report multiple regression; Categorical predictors and multiple regression; What have I discovered about statistics?; R packages used in this chapter; R functions used in this chapter; Key terms that I've discovered; Smart Alex's tasks; Further reading; Interesting real research; Logistic Regression; What will this chapter tell me?; Background to logistic regression; What are the principles behind logistic regression?; Assumptions and things that can go wrong; Packages used in this chapter; Binary logistic regression: an example that will make you feel eel; How to report logistic regression; Testing assumptions: another example; Predicting several categories: multinomial logistic regression; What have I discovered about statistics?; R packages used in this chapter; R functions used in this chapter; Key terms that I've discovered; Smart Alex's tasks; Further reading; Interesting real research; Comparing Two Means; What will this chapter tell me?; Packages used in this chapter; Looking at differences; The t -test; The independent t -test; The dependent t -test; Between groups or repeated measures?; What have I discovered about statistics?; R packages used in this chapter; R functions used in this chapter; Key terms that I've discovered; Smart Alex's tasks; Further reading; Interesting real research; Comparing Several Means: ANOVA (GLM 1); What will this chapter tell me?; The theory behind ANOVA; Assumptions of ANOVA; Planned contrasts; Post hoc procedures; One-way ANOVA using R; Calculating the effect size; Reporting results from one-way independent ANOVA; What have I discovered about statistics?; R packages used in this chapter; R functions used in this chapter; Key terms that I've discovered; Smart Alex's tasks; Further reading; Interesting real research; Analysis of Covariance, ANCOVA (GLM 2); What will this chapter tell me?; What is ANCOVA?; Assumptions and issues in ANCOVA; ANCOVA using R; Robust ANCOVA; Calculating the effect size; Reporting results; What have I discovered about statistics?; R packages used in this chapter; R functions used in this chapter; Key terms that I've discovered; Smart Alex's tasks; Further reading; Interesting real research; Factorial ANOVA (GLM 3); What will this chapter tell me?; Theory of factorial ANOVA (independant design); Factorial ANOVA as regression; Two-Way ANOVA: Behind the scenes; Factorial ANOVA using R; Interpreting interaction graphs; Robust factorial ANOVA; Calculating effect sizes; Reporting the results of two-way ANOVA; What have I discovered about statistics?; R packages used in this chapter; R functions used in this chapter<br /> Key terms that I've discovered; Smart Alex's tasks; Further reading; Interesting real research; Repeated-Measures Designs (GLM 4); What will this chapter tell me?; Introduction to repeated-measures designs; Theory of one-way repeated-measures ANOVA; One-way repeated measures designs using R; Effect sizes for repeated measures designs; Reporting one-way repeated measures designs; Factorisal repeated measures designs; Effect Sizes for factorial repeated measures designs; Reporting the results from factorial repeated measures designs; What have I discovered about statistics?; R packages used in this chapter; R functions used in this chapter; Key terms that I've discovered; Smart Alex's tasks; Further reading; Interesting real research; Mixed Designs (GLM 5); What will this chapter tell me?; Mixed designs; What do men and women look for in a partner?; Entering and exploring your data; Mixed ANOVA; Mixed designs as a GLM; Calculating effect sizes; Reporting the results of mixed ANOVA; Robust analysis for mixed designs; What have I discovered about statistics?; R packages used in this chapter; R functions used in this chapter; Key terms that I've discovered; Smart Alex's tasks; Further reading; Interesting real research; Non-Parametric Tests; What will this chapter tell me?; When to use non-parametric tests; Packages used i
• Publisher Details: London : SAGE Publications Ltd
• Publication Date: 2012
• Extent: 1 online resource (992 pages)
• Subjects: 300.15195; Social sciences -- Statistical methods -- Computer programs; R (Computer program language); Statistics -- Computer programs
• Languages: English
• ISBNs: 9781446258460; 1446258467
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.