Advanced quantitative data analysis / Duncan Cramer

By:

Cramer, Duncan

Material type: Text

TextSeries: Understanding social researchPublication details: Maidenhead : Open University Press, c2003Description: xi, 254 p. : ill. 26 cmISBN:

0335200591

Subject(s):

DDC classification:

001.422 CRA

Contents:

Introduction Exploratory factor analysis Confirmatory factor analysis Cluster analysis Stepwise multiple regression Hierarchical multiple regression Path analysis assuming no measurement error Path analysis accounting for measurement error Binary logistic regression An introduction to analysis of variance and covariance Unrelated one-way analysis of covariance Unrelated two-way analysis of variance Discriminant analysis Log-linear analysis

Summary: 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

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Holdings
Item type	Current library	Home library	Call number	Copy number	Status	Date due	Barcode	Item holds
Book	Mzumbe University Main Campus Library	Mzumbe University Main Campus Library	001.422 CRA (Browse shelf(Opens below))	1	Available		0058160

Total holds: 0

Includes bibliographical references

Introduction
Exploratory factor analysis
Confirmatory factor analysis
Cluster analysis
Stepwise multiple regression
Hierarchical multiple regression
Path analysis assuming no measurement error
Path analysis accounting for measurement error
Binary logistic regression
An introduction to analysis of variance and covariance
Unrelated one-way analysis of covariance
Unrelated two-way analysis of variance
Discriminant analysis
Log-linear analysis

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

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