Understanding and using advanced statistics
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 spac...
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| Format: | UnknownFormat |
| Sprache: | eng |
| Veröffentlicht: |
London u.a.
SAGE Publications
2006
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| Online Zugang: | Publisher description Table of contents |
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Tag hinzufügen | Zusammenfassung: | 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. 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 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 |
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| Beschreibung: | XIII, 178 p. graph. Darst. |
| ISBN: | 1412900131 1-4129-0013-1 141290014X 1-4129-0014-X |