Multivariate Analysis of Variance and Repeated Measures: A Practical Approach for Behavioural Scientists.

Hand, D. J.; Taylor, C. C.

ISBN 10: 0412258102 / ISBN 13: 9780412258107

Editore: Chapman and Hall, London, 1987

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Hardback octavo, no jacket as issued, very good plus condition. 262 pp. This book describes a practical approach to univariate and multivariate analysis of variance. It starts with a general non-mathematical account of the fundamental theories. This is followed by a discussion of a series of examples using real data sets from the authors' own work in clinical trials, psychology and industry. Included are discussions of factorial and nested designs, structures on multiple dependent variables measured on each participant, repeated measures analyses, covariates, choice of test statistic and simultaneous test procedures.

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Dati bibliografici

• Titolo: Multivariate Analysis of Variance and Repeated Measures: A Practical Approach for Behavioural Scientists.
• Editore: Chapman and Hall, London
• Data di pubblicazione: 1987
• Lingua: Inglese
• ISBN 10: 0412258102
• ISBN 13: 9780412258107
• Rilegatura: Rilegato
• Cataloghi dei venditori:
  • RESEARCH & STATISTICS

Descrizione articolo

Riassunto

therefore attempted to achieve the aims while avoiding these problems in two ways. The first is the separation into the theoretical discussion of Part 1 and the applied examples of Part 2. The textual examples in Part 1 are all of an abstract form and the real examples of Part 2 show what happens with real data. Following the Contents is a table showing the types of analysis used in each of the studies in Part 2. The table is designed to act as a link to real examples of each sub-type of analysis. Thus one can either read the Part 2 examples in their entirety, as examples of complete analyses, or one can use the above-mentioned of analysis. table to key into several different examples of a particular type The second way we have attempted to satisfy both aims is by inserting simple numerical examples into Part 1, set up as inset passages so as not to interrupt the theoretical development. They may thus either be read in parallel with the theory or skipped to be returned to later. The difference between these examples and those of Part 2, apart from one of simplicity, is that the Part 1 examples involve artificial data. We do not attempt complete analyses in these examples, simply using the data to illustrate isolated points.