相關主題
商品描述
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.
商品描述(中文翻譯)
這本書獨特地結合了使用 R 的定量研究和統計分析。內容清晰易懂，涵蓋了一系列適用於橫斷面數據的統計技術，背景為定量研究和調查研究。除了基本概念外，本書還探討了高級多變量統計主題，如主成分分析、聚類分析、多維尺度分析等。
本書的第一部分介紹了 R 和 RStudio，並提供了逐步的安裝和使用指南。關於定量數據和抽樣的章節為理解定量和調查研究奠定了基礎。它逐步建立了描述性統計和推論統計的基礎，同時提供和描述 R 代碼以及執行該 R 代碼所生成的輸出解釋。這使讀者在技術和 R 代碼方面都能獲得清晰的理解。許多與不同統計分析相關的例子使得本書對於來自不同學科的讀者都充滿趣味。
這本書對於經濟學、心理學、管理學、數據科學、教育及其他社會科學學科的學生、研究人員和教師都將非常有用。大學和研究生層級的學生、博士後研究人員及專業研究者，以及研究方法和定量技術的教師，都會發現這本書是使用 R 進行定量研究的便利資源。
作者簡介
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.
作者簡介(中文翻譯)
Smruti Bulsari 目前是牛津大學初級護理與健康科學系的研究員，此前曾在埃塞克斯大學工作。她擁有經濟學博士學位以及經濟學和數據科學的碩士學位。她在處理大型數據集和不同統計軟體方面擁有豐富的經驗。她廣泛使用 R 進行定量分析，並開發健康經濟學中的模擬模型。她在教學和研究方面經驗豐富；曾參與由 NIHR、ESRC、英國學院、ICSSR 和古吉拉特邦政府資助的研究項目。
Kiran Pandya 目前是 Sarvajanik 大學的校長。他擁有超過 40 年的教學、研究和行政經驗，其中近 16 年擔任印度古吉拉特邦蘇拉特的維爾納馬德南古吉拉特大學人力資源發展系的教授和系主任。他為研究人員和學術界舉辦了大量使用不同軟體的定量技術培訓計劃和工作坊。Kiran 擁有薩塞克斯大學的經濟學哲學博士學位，並因此獲得英國英聯邦委員會頒發的學術人員獎學金。
