PIERGIORGIO CORBETTA, GIANCARLO GASPERONI, MAURIZIO PISATI

Statistics for Social Research

By stressing the applied aspects of statistics and using a wealth of examples and non-specialist language, this introductory handbook illustrates the conceptual bases and the actual implementation of the most widespread techniques for data analysis in social research. In particular, the authors persistently invite the reader to cultivate an essential focus: in order to correctly choose and apply statistical tools, one must understand how data are "constructed" through research operations that inevitably influence those tools capacity for faithful representation of reality. The volume also contains a short guide to major software for statistical analysis.

Contents: Introduction - 1. Information Collection - 2. Univariate Analysis - 3. Data Transformation - 4. Introduction to Bivariate Analysis - 5. Bivariate Analysis: When Variables Are Categorical (Cross-Tabulation) - 6. Bivariate Analysis: When the Dependent Variable Is Cardinal (Simple Regression) - 7. Introduction to Multivariate Analysis - 8. Multivariate Analysis: When the Dependent Variable Is Cardinal (Multiple Regression) - 9. Multivariate Analysis: When the Dependent Variable is Categorical (Logistic Regression) - 10. Statistical Inference and Sampling - Appendix: Brief Guide to Statistical Software - Bibliography - Index.

Piergiorgio Corbetta teaches Social Research Methodology and Techniques in the Faculty of Educational Sciences of the University of Bologna.

Giancarlo Gasperoni teaches Social Research Methodology and Techniques in the Faculty of Letters and Philosophy of the University of Bologna.

Maurizio Pisati teaches Social Research Techniques in the Faculty of Sociology of the University of Milan-Bicocca.

Introduzione
1. Rilevazione delle informazioni
2. Analisi monovariata
3. Trasformazione dei dati
4. Introduzione all'analisi bivariata
5. Analisi bivariata: quando le variabili sono categoriali (tabulazione incrociata)
6. Analisi bivariata: quando la variabile dipendente è cardinale (regressione semplice)
7. Introduzione all'analisi multivariata
8. Analisi multivariata: quando la variabile dipendente è cardinale (regressione multipla)
9. Analisi multivariata: quando la variabile dipendente è categoriale (regressione logistica)
10. Inferenza statistica e campionamento
Appendice. Breve guida al software statistico
Riferimenti bibliografici
Indice analitico
series "Manuali"
pp. 312, 978-88-15-08266-4
publication year 2001