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Informationen zum Autor Thomas Baguley is Professor of Experimental Psychology at Nottingham Trent University, UK. He is an experimental psychologist working particularly on the statistical or mathematical modelling of long-term memory and spatial cognition. He has over 20 years of teaching and research experience and is Editor of the British Journal of Mathematical and Statistical Psychology. Klappentext 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.? Zusammenfassung 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. Inhaltsverzeichnis Preface Data, Samples and Statistics Probability Distributions Confidence Intervals Significance Tests Regression Correlation and Covariance Effect Size Statistical Power Exploring Messy Data Dealing with Messy Data Alternatives to Classical Statistical Inference Multiple Regression and the General Linear Model ANOVA and ANCOVA with Independent Measures Interactions Contrasts Repeated Measures ANOVA Modelling Discrete Outcomes Multilevel Models References.
About the author
Thomas Baguley is Professor of Experimental Psychology at Nottingham Trent University, UK.
