Book Overview

The book is a unique blend of quantitative research and statistical analysis using R. Lucidly written, it covers a range of statistical techniques applicable to cross-sectional data in the backdrop of quantitative research and survey research.

Content and Topics

In addition to the basic concepts, this book also explores advanced multivariate statistics topics like principal components analysis, cluster analysis, multidimensional scaling and more.

Introduction to R

This volume begins with an introduction to R, RStudio and gives a step-by-step approach to installation and usage.

Foundations of Quantitative Research

The chapters on quantitative data and sampling build the background for understanding quantitative and survey research. It gradually builds the foundations into descriptive and inferential statistics, while simultaneously providing and describing the R code as well as the interpretation of the output generated by executing that R code.

Examples and Audience

Many examples relevant to different statistical analyses make the book interesting to readers across different disciplines. The book will be useful to students, researchers and teachers of Economics, Psychology, Management, Data Science, Education, and other social science disciplines. Students at undergraduate and graduate level, doctoral, post-doctoral and professional researchers, as well as teachers of research methodology and quantitative techniques will find this book a handy resource for using R for quantitative research.