ADVANCED QUANTITATIVE DATA ANALYSIS - Duncan Cramer

ADVANCED QUANTITATIVE DATA ANALYSIS

(Autor)

Buch | Softcover
208 Seiten
2003 | Annotated edition
Open University Press (Verlag)
978-0-335-20059-7 (ISBN)
41,10 inkl. MwSt
*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
- 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.

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 foreword
Preface
1 Introduction

PART 1
Grouping quantitative variables together
2 Exploratory factor analysis
3 Confirmatory factor analysis
4 Cluster analysis

PART 2
Explaining the variance of a quantitative variable
5 Stepwise multiple regression
6 Hierarchical multiple regression

PART 3
Sequencing the relationships between three or more quantitativevariables
7 Path analysis assuming no measurement error
8 Path analysis accounting for measurement error

PART 4
Explaining the probability of a dichotomous variable
9 Binary logistic regression

PART 5
Testing differences between group means
10 An introduction to analysis of variance and covariance
11 Unrelated one-way analysis of covariance
12 Unrelated two-way analysis of variance

PART 6
Discriminating between groups
13 Discriminant analysis

PART 7
Analysing frequency tables with three or more qualitative variables
14 Log-linear analysis
Glossary
References
Index

Erscheint lt. Verlag 16.7.2003
Verlagsort Milton Keynes
Sprache englisch
Maße 153 x 231 mm
Gewicht 398 g
Themenwelt Geisteswissenschaften Psychologie
Informatik Datenbanken Data Warehouse / Data Mining
Sozialwissenschaften Soziologie Empirische Sozialforschung
ISBN-10 0-335-20059-1 / 0335200591
ISBN-13 978-0-335-20059-7 / 9780335200597
Zustand Neuware
Haben Sie eine Frage zum Produkt?
Mehr entdecken
aus dem Bereich
Datenanalyse für Künstliche Intelligenz

von Jürgen Cleve; Uwe Lämmel

Buch | Softcover (2024)
De Gruyter Oldenbourg (Verlag)
74,95
Auswertung von Daten mit pandas, NumPy und IPython

von Wes McKinney

Buch | Softcover (2023)
O'Reilly (Verlag)
44,90