Understanding Data; Second Edition

B.H. Erickson and T.A. Nosanchuk

ISBN 10: 033509662X / ISBN 13: 9780335096626

Edité par Open University Press, Buckingham. UK, 1995

A propos de cet article

In this book, titled " Understanding Data; Second Edition ". the lower corners have minor creasing, otherwise the covers and text block are square, tight and clean. This book is checked and photographed in the box as proof against in-transit damage. Book price includes 2nd class parcel post in UK only.

N° de réf. du vendeur 08591 SB

Détails bibliographiques

• Titre: Understanding Data; Second Edition
• Éditeur: Open University Press, Buckingham. UK
• Date de parution: 1995
• Langue: anglais
• ISBN à 10 chiffres: 033509662X
• ISBN à 13 chiffres: 9780335096626
• Reliure: Soft cover
• Édition: 3rd Edition
• État de l'article: Very Good
• État de la jaquette: No Jacket

A propos de ce titre

Synopsis

For statistics to be used by sociologists, and especially by students of sociology, they must first be easy to understand and use. Accordingly this book is aimed at that legion of professional sociologists and students who have always feared numbers; it employs much visual display, for example, as an easy way into the data. Also, the book is written in a relaxed and enthusiastic way that reassures apprehensive students without watering down what they must be taught.

Présentation de l'éditeur

For statistics to be used by sociologists, and especially by students of sociology, they must first be easy to understand and use. Accordingly this book is aimed at that legion of professional sociologists and students who have always feared numbers; it employs much visual display, for example, as an easy way into the data. Also, the book is written in a relaxed and enthusiastic way that reassures apprehensive students without watering down what they must be taught.

Classical statistics were developed to meet the requirements of the natural sciences; as such they reflect the more deductive nature of hypothesis development in these sciences. However, they have offered the sociologists little in the way of techniques for exploring messy data in the context of incomplete theories.

This book attempts to remedy those weaknesses, and it emphasizes exploratory data techniques which sociologists will find useful in their day-to-day research. The primary characteristics of exploratory techniques discussed by the authors are simplicity, resistance and elucidation. Its coverage is from basic statistics up to multiple regression and two-way anova. The inter-relationship between exploratory and confirmatory techniques is stressed, and, through the alternating presentation of each, the students learn to master data analysis: to be and to feel in control.