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Approaching Multivariate Analysis provides an introduction to a range of advanced statistical techniques that are used in psychology, in an accessible, non-mathematical way. The authors take a practical approach with an emphasis on helping the reader to gain an understanding of what each method is for, what it does, and how it does it.
Topics covered in this book are:
Instructions on how to do the analyses and how to make sense of the results are fully illustrated with dialogue boxes and output tables from SPSS, and details of how to interpret and report the output are also provided.
This book aims to get students started, and prepares them to approach more comprehensive treatments with confidence. This makes it an ideal text for psychology students, and for students and academic staff in disciplines other than psychology that use multivariate methods.
Preface. Multivariate techniques in context. Analysis of variance (ANOVA). Multivariate analysis of variance (MANOVA). Multiple regression. Analysis of covariance (ANCOVA). Partial correlation, mediation and moderation. Path Analysis. Factor analysis. Discriminant analysis and logistic regression. Cluster analysis. Multidimensional scaling. Loglinear models. Further reading. List of books. Glossary. Abbreviations.