What do advanced statistical techniques do? When is it appropriate to use them? How are they carried out and reported? There are a variety of statistical techniques used to analyse quantitative data that masters students, advanced undergraduates and researchers in the social sciences are expected to be able to understand and undertake. This book explains these techniques, when it is appropriate to use them, how to carry them out and how to write up the results. Most books which describe these techniques do so at too advanced or technical a level to be readily understood by many students who need to use them. In contrast, the following features characterise this book: concise and accessible introduction to calculating and interpreting advanced statistical techniques; use of a small data set of simple numbers specifically designed to illustrate the nature and manual calculation of the most important statistics in each technique; succinct illustration of writing up the results of these analyses; minimum of mathematical, statistical and technical notation; and annotated bibliography and glossary of key concepts.
Commonly used software is introduced, and instructions are presented for carrying out analyses and interpreting the output using the computer programs of SPSS Release 11 for Windows and a version of LISREL 8.51, which is freely available online. Designed as a textbook for postgraduate and advanced undergraduate courses across the socio-behavioural sciences, this book will also serve as a personal reference for researchers in disciplines such as sociology and psychology.
Reihe
Auflage
Sprache
Verlagsort
Milton Keynes
Großbritannien
Zielgruppe
Für höhere Schule und Studium
Editions-Typ
Illustrationen
glossary, references, bibliography, index
Maße
Höhe: 229 mm
Breite: 152 mm
Dicke: 19 mm
Gewicht
ISBN-13
978-0-335-20062-7 (9780335200627)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Klassifikation
Duncan Cramer has been a Reader in Psychological Health in the Department of Social Sciences at Loughborough University since 1996. He has authored or co-authored various texts on statistics including An Introduction to Statistics in Psychology (2000) and Quantitative Data Analysis with SPSS Release 10 for Windows (2001).
Series editor's forewordPrefaceIntroductiongrouping quantitative variables togetherExploratory factor analysisConfirmatory factor analysisCluster analysisexplaining the variance of a quantitative variableStepwise multiple regressionHierarchical multiple regressionsequencing the relationships between three or more quantitative variablesPath analysis assuming no measurement errorPath analysis accounting for measurement errorexplaining the probability of a dichotomous variableBinary logistic regressiontesting differences between group meansAn introduction to analysis of variance and covarianceUnrelated one-way analysis of covarianceUnrelated two-way analysis of variancediscriminating between groupsDiscriminant analysisanalysing frequency tables with three or more qualitative variablesLog-linear analysisGlossaryReferencesIndex.