Description |
1 online resource (xiii, 178 pages) : illustrations |
Contents |
Basic features of statistical analysis and the general linear model -- Multivariate analysis of variance -- Multiple regression -- Log-linear analysis -- Logistic regression -- Factor analysis -- Path analysis -- Structural equation modelling -- Time series analysis -- Facet theory and smallest space analysis -- Survival or failure analysis -- Repertory grids |
Summary |
This work is a comprehensive, practical guide for postgraduate students advising how and when to use more advanced statistical methods. The authors refresh important basics such as descriptive statistics and research design as well as introducing essential upper level techniques for the advanced student |
Bibliography |
Includes bibliographical references and index |
Notes |
Print version record |
Subject |
Social sciences -- Statistical methods.
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Statistics.
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Form |
Electronic book
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Author |
Barkus, Emma.
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Yavorsky, Christian.
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ISBN |
0857020153 (ebook) |
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1848605129 (electronic bk.) |
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9780857020154 (ebook) |
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9781848605121 (electronic bk.) |
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(hardback) |
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(paperback) |
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(hardback) |
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(paperback) |
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