Data Analysis in Business Research

A Step-By-Step Nonparametric Approach
1. Auflage 2008
ISBN: 978-81-7829-875-7
Verlag: Sage Publications India

Buch, 320 Seiten, Format (B × H): 184 mm x 241 mm, Gewicht: 491 g

While there are books focusing on parametric tests, the domain of nonparametric tests is mostly unexplored. Data Analysis in Business Research: A Step by Step Nonparametric Approach brings under one umbrella all the major nonparametric statistical tools that can be used by undergraduate and postgraduate students of all disciplines, especially students of Research Methods in Social Sciences and Management Studies, in their dissertation work.

Students face difficulty in analyzing data collected from small samples; they end up reporting mere percentage analysis which results in the loss of information collected. Hence there is a need to create awareness among students and researchers about the application of major nonparametric tools that can be applied confidently without worrying about sample size, scale of measurement, normality assumptions or other parameters of that nature. The lucid presentation of the step-by-step procedures, explaining in simple English how to perform each of the major nonparametric tests, is a major attraction of the book. The book, which also has a comprehensive question bank, assumes minimal or little knowledge of statistics on the part of the reader.

This book will also be informative for Marketing Research professionals and organisations, consultancies and organisations of economic research.

Autoren/Hrsg.

Israel, D

Fachgebiete

• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsmathematik und -statistik
• Wirtschaftswissenschaften Betriebswirtschaft Management Forschung & Entwicklung (F&E), Innovation
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Wirtschaftsinformatik
• Mathematik | Informatik Mathematik Stochastik Wahrscheinlichkeitsrechnung
• Mathematik | Informatik Mathematik Stochastik Mathematische Statistik

Inhaltsverzeichnis

Preface
Introduction
One-Sample Test
Two Independent Samples Tests
Two-Related Sample Tests
K-Related Samples Tests
K-Independent Samples Tests
Measures of Correlation and Association
Tests of Interaction and Multiple Comparison
Multivariate Nonparametric Test for Interdependence
Appendix
References
Index

Über Autor(innen)

Israel, D
D. Israel is Assistant Professor (Marketing Area), in the School of Business and Human Resources at XLRI Jamshedpur. Prior to joining XLRI, he had taught at the Institute of Management Technology (IMT), Ghaziabad and at Karunya University, Coimbatore. His areas of interests include Business Research Methods, Marketing Research, Data Analysis for Marketing Decisions and Service Loyalty Measurements. He has conducted several development programmes on the Application Statistical Tools through SPSS, has published several articles in refereed journals and has presented papers in the marketing conferences in both India and abroad.