John MacInnes takes the fear out of statistics for students, and helps to raise the standards of their quantitative methods skills, by clearly and accessibly introducing all that's needed to know about using secondary data and working with IBM SPSS Statistics.

This book presents a research model which can be used in the community in order to tackle problems and grow.

Provides instruction and guidance on preparing quantitative data sets prior to answering a study's research questions

Provides an introduction to the major theories, methods and findings of social network analysis research and the applications from that research.

Through developing a decomposition analysis of the inequality measures and promoting their effective use in research, this book provides readers with a step-by-step understanding of the inequality measures that are currently used.

Taking the reader step-by-step through the intricacies, theory and practice of regression analysis, Damodar N. Gujarati uses a clear style that doesn't overwhelm the reader with abstract mathematics.

A wide-ranging, detailed and critical analysis of Western consumerism and its globalization, from one of the most respected names in the field today.

Helps students and researchers to understand the ideas and methods behind the successful collection of qualitative, quantitative and mixed data sets in transparent, scientific ways.

Explains the basic ideas behind the statistics as clearly and briefly as possible, showing that the basics of statistics are something that virtually everyone can handle with a bit of time and effort.