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Applied Multiple Regression Analysis
… main focus of the course is on the practical side of using regression to address common methodological, statistical and … course begins with a brief review of the principles of multiple regression. It then examines the specific issues … • regression diagnostics to detect potential violations of multiple regression's assumptions • how to identify the …
Foundations of Statistical Analysis in Political Analysis: Online
… to provide students with an accessible introduction to the fundamentals of quantitative political science research. The … and multivariate statistical methods (simple and multiple regression). This course will be run in one session per day … to provide students with an accessible introduction to the fundamentals of quantitative political science research. …
Fundamentals of Structural Equation Modelling
… LISREL, Mplus, R). This course provides an overview of the fundamentals of SEM. As well as the statistical theory, an … Day 1 Review of linear regression Day 2 Building regression and path models using an SEM framework General … Participants must have completed the course Fundamentals of Multiple Regression or an equivalent course …
Fundamentals of Structural Equation Modelling: Online
… LISREL, Mplus, R). This course provides an overview of the fundamentals of SEM. As well as the statistical theory, an … Day 1 Review of linear regression. Day 2 Building regression and path models using an SEM framework General … Participants must have completed the course Fundamentals of Multiple Regression or an equivalent course …
Structural Equation Modelling (SEM) Fundamentals: Online (3-days)
… other analytical techniques (such as factor analysis, regression analysis and path analysis) into one omnibus … model and using AMOS and/or Mplus to run a univariate multiple regression model. We will also learn to understand AMOS and/or Mplus output. Day 2 Part A: Fundamentals of Structural Equation Modelling We will learn …
Fundamentals of Multiple Regression: Online
… techniques and are seeking the knowledge and skills to use multiple regression for research at a post-graduate level and/or to … Particular attention is given to the application of multiple regression to substantive problems in the social and … from SPSS, Stata, SAS and R. Day 2 Session 1: Multiple regression (ordinary least-squares – OLS) Session …
Fundamentals of Multiple Regression
… techniques and are seeking the knowledge and skills to use multiple regression for research at a post-graduate level and/or to … Particular attention is given to the application of multiple regression to substantive problems in the social and … output from SPSS, Stata, SAS and R. Session 4: Multiple regression (ordinary least-squares – OLS) Day 2 …
Multivariate Analysis of Variance (MANOVA)- (2 days)
… account when performing the significance test. Testing the multiple outcome variables is accomplished by creating new … test on this set of variables instead of performing multiple individual tests. The researcher can use the … effects and MANOVA reduces the Type I error problem with multiple ANOVA testing. Several research questions can be …
Machine Learning for Data Science: Supervised Learning Techniques: Online (3 days)
… of the output task, these models can be classed as either regression or classification algorithms. This course is an … Day 1: Fundamentals of Machine Learning Machine Learning workflow … Metrics Model tuning and over-fitting Day 2: Linear regression methods Classification methods Tree-based methods …