Quantitative Research using R - Kiran Pandya

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Résumé :
The book is a unique blend of quantitative research and statistical analysis using R. It covers a range of statistical techniques applicable to cross-sectional data in the backdrop of quantitative research and survey research. It also explores principal components analysis, cluster analysis, multidimensional scaling and more....

Biographie:

Smruti Bulsari is currently a Researcher at the Nuffield Department of Primary Care and Health Sciences, University of Oxford, prior to which she was with the University of Essex. She holds a PhD in Economics and Master's degrees in Economics and Data Science. She has a wide experience of working with large datasets and different statistical software. She makes extensive use of R for quantitative analysis as well as developing simulation models in health economics. She has a wide experience of teaching and research...

Sommaire:

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

This volume begins with an introduction to R, RStudio and gives a step-by-step approach to installation and usage. 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. This gives the reader clarity in both the techniques as well as the R code. Many examples relevant to different statistical analysis make the book interesting to readers across different disciplines.

The book will be useful to the students, researchers and teachers of Economics, Psychology, Management, Data Science, Education, and other social sciences 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 to using R for quantitative research.