Pre-PhD Certificate Course in Rank-Based Data Science
Pre-PhD Certificate Course in Rank-Based Data Science The programme can prepare PhD aspirants to work with ordinal, preference, and non-parametric data, which are very common in social science research. It can also help students who have limited statistical backgrounds become comfortable with data analysis before starting their doctoral research. 1.Foundations of Rank-Based Data Measurement scales Ordinal data and ranking techniques Research applications 2.Data Management and Visualization Data entry and coding in Excel/R Graphical representation Data cleaning 3.Rank-Based Statistical Techniques Spearman's rank correlation Kendall's Tau and Kendall's W Mann–Whitney U, Wilcoxon, Kruskal–Wallis, Friedman test 4.Scale Construction and Preference Analysis Paired comparison Rank-order scales Preference and attitude measurement 5.Advanced Topics Correspondence analysis Multidimensional scaling Cluster analysis using rank data. 6. Research Applications Formulating research problem...