Introduction to Causal Analysis: Exploring Survey Data by Crosstabulation: 9 (Contemporary social research) - Softcover

Hellevik, Ottar

 
9780043120194: Introduction to Causal Analysis: Exploring Survey Data by Crosstabulation: 9 (Contemporary social research)

Synopsis

This book demonstrates the use of simple crosstabulation analyses based on causal models for the purpose of solving cause-and-effect problems involving quantities of statistical data. The author outlines the procedures for establishing causal effects from empirical data and the main kinds of problems faced when interpreting results. He also compares the causal approach to data analysis with other approaches, such as regression or loglinear analysis. In addition to introductory courses in statistics, the book will be useful in all courses where surveys are a primary source of information, such as those studying social stratification, political participation, or public opinion. Each chapter contains a summary and glossary, and exercises with answers. Social scientists and specialists on contingency table analysis will find many novel and interesting ideas.

"synopsis" may belong to another edition of this title.

Synopsis

This book aims to demonstrate how to approach and develop answers to such questions as "are low-status defendants more severely sentenced by the courts than high-status defendants?" or "why are women less likely to pursue a political career than men?", through the use of crosstabulation analyses based on causal models. The author discusses the construction of causal models and methods for deducing the implications of the assumptions embodied in a model. He outlines the procedures for establishing causal effects from empirical data and the main kind of problems faced when interpreting results. He concludes by comparing the causal approach to the analysis of data to alternative approaches, such as regression or loglinear analysis. Though written with introductory courses in statistics in mind, the book should also be useful on courses in substantive areas where surveys are a primary source of information, such as social stratification, political participation or public opinion. Each chapter contains a summary and glossary, and exercises with answers that give students a chance to practise the methods learnt.

The work should also be useful to social scientists working with survey data and to specialists working on contingen cy table analyses.

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Other Popular Editions of the Same Title

9788200026587: Introduction to Causal Analysis: Exploring Survey Data by Cross-tabulation (Contemporary Social Research Series, 9)

Featured Edition

ISBN 10:  8200026582 ISBN 13:  9788200026587
Publisher: Aschehoug AS, 1988
Softcover