Statistics Explained

Statistics Explained is an accessible introduction to statistical concepts and ideas. It makes few assumptions about the reader’s statistical knowledge, carefully explaining each step of the analysis and the logic behind it. The book: provides a clear explanation of statistical analysis and the key statistical tests employed in analysing research data gives accessible explanations of how and why statistical tests are used includes a wide range of practical, easy-to-understand worked examples. Building on the international success of earlier editions, this fully updated revision includes developments in statistical analysis, with new sections explaining concepts such as bootstrapping and structural equation modelling. A new chapter- ‘Samples and Statistical Inference’- explains how data can be analysed in detail to examine its suitability for certain statistical tests. The friendly and straightforward style of the text makes it accessible to all those new to statistics, as well as more experienced students requiring a concise guide. It is suitable for students and new researchers in disciplines including Psychology, Education, Sociology, Sports Science, Nursing, Communication, and Media and Business Studies. Presented in full colour and with an updated, reader-friendly layout, this new edition also comes with a companion website featuring supplementary resources for students. Unobtrusive cross-referencing makes it the ideal companion to Perry R. Hinton’s SPSS Explained, also published by Routledge. Perry R. Hinton has many years of experience in teaching statistics to students from a wide range of disciplines and his understanding of the problems students face forms the basis of this book.

1 Introduction 2 Descriptive Statistics 3 Standard Scores 4 Introduction to Hypothesis Testing 5 Sampling 6 Hypothesis Testing with One Sample 7 Selecting Samples for Comparison 8 Hypothesis Testing with Two Samples 9 Significance, Error and Power 10 Samples and Statistical Inference 11Introduction to the Analysis of Variance 12 One Factor Independent Measures ANOVA 13 Multiple Comparisons 14 One Factor Repeated Measures ANOVA 15 The Interaction of Factors in the Analysis of Variance 16 The Two Factor ANOVA 17 Two Sample Nonparametric Analyses 18 One Factor ANOVA for Ranked Data 19 Analysing Frequency Data: Chi-Square 20 Linear Correlation and Regression 21 Multiple Correlation and Regression 22 Complex Analyses 23 An Introduction to the General Linear Model 24 Postscript Notes Glossary References Appendix Index

Perry R. Hinton isa psychologist, and has worked for over twenty-five years in four British universities, in positions ranging from lecturer to Head of Department. He has taught in the areas of cognitive and social psychology, and research methods and statistics, primarily to psychology and communicationand media students; but also to a wide range of students studying subjects including nursing, social work, linguistics, philosophy and education. He has written four textbooks and edited the Psychology Focus series for Routledge.