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.
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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; she has worked on research projects funded by NIHR, ESRC, British Academy, ICSSR and the Government of Gujarat.
Kiran Pandya is currently the Provost of Sarvajanik University. He has more than 40 years of teaching, research and administrative experience, out of which he was the Professor and Head in the Department of Human Resource Development, Veer Narmad South Gujarat University, Surat (Gujarat, India) for close to 16 years. He has conducted a large number of training programmes and workshops in quantitative techniques using different software, for researchers and academics. Kiran holds the degree of Doctor of Philosophy in Economics from the University of Sussex, for which he was awarded the Academic Staff Scholarship by the Commonwealth Commission in the UK.
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Taschenbuch. Zustand: Neu. Neuware - 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. Artikel-Nr. 9781032827872
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