Courses on Kailas Venkitasubramanian

RSCH 8140 - Multivariate Analytical Methods

Fri, 04 Mar 2022 00:00:00 +0000

Course Summary

This course examines statistical procedures that have multiple independent and/or dependent variables, all correlated with one another to some degree. Emphases are placed on practical issues such as selecting the appropriate statistical analyses, using SPSS and R to screen and analyze data, interpreting output, presenting results, and applying these analyses in research areas. Students are trained to be critical consumers and novice producers of multivariate research.

RSCH 8150 - Structural Equation Modeling

Thu, 03 Mar 2022 00:00:00 +0000

Course Summary

Structural Equation Modeling (SEM) is designed to apply general statistical modeling techniques to establish relationships among variables. SEM provides researchers with powerful techniques that takes into account the modeling of interactions, nonlinearities, correlated independents, measurement error, correlated error terms, multiple latent independents each measured by multiple indicators, and one or more latent dependents also each with multiple indicators. Empirical research articles that use structural equation modeling as a major analytic tool appear regularly in leading academic journals. The purpose of this course is to train doctoral students in both the conceptual and applied uses of SEM.

GEOG 3000 - Introduction to Data Analytics

Tue, 01 Mar 2022 00:00:00 +0000

Course Summary

Foundational course for conducting quantitative research. Essential analytical techniques and their conceptual base, and best practices of reporting and presenting analytics through visualizations.

Department

Geography and Earth Sciences

College

Liberal Arts and Sciences

Level

Undergraduate 3000/4000