Courses and Workshops 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

Quantile Regression with STATA

Fri, 31 Dec 2021 00:00:00 +0000

Summary

Pre-requisites

Basic Analysis skills in STATA
Inferential Statistics / Regression

Audience

UNC Charlotte Faculty and Graduate Students

Duration

Two 2-hour sessions

Date and Location

–

Useful Resources

Applied Multilevel Modeling with STATA

Thu, 30 Dec 2021 00:00:00 +0000

Slides

Handout

Pre-requisites

Basic Analysis skills in STATA
Inferential Statistics / Regression

Audience

UNC Charlotte Faculty and Graduate Students

Duration

Two 2-hour sessions

Date and Location

–

Advanced Visualization with R

Wed, 29 Dec 2021 00:00:00 +0000

Summary

Pre-requisites

Basic skills in R

Audience

UNC Charlotte Faculty and Graduate Students

Duration

Two 2-hour sessions

Date and Location

–

Useful Resources

Latent Growth Curve Modeling with STATA

Wed, 29 Dec 2021 00:00:00 +0000

Summary

Pre-requisites

Basic Analysis skills in STATA
Inferential Statistics / Regression

Audience

UNC Charlotte Faculty and Graduate Students

Duration

Two 2-hour sessions

Date and Location

–

Useful Resources

Missing Data and Multiple Imputation

Fri, 24 Dec 2021 00:00:00 +0000

Details

Summary

Workshop aims to give hands-on experience in handling missing data issues and implementing multiple imputation method in STATA.

Pre-requisites

Basic Analysis skills in STATA
Inferential Statistics / Regression

Audience

UNC Charlotte Faculty and Graduate Students

Duration

Two 2-hour sessions

Date and Location

–

Slides

Useful Resources

Statistical Power Analysis

Thu, 02 Dec 2021 00:00:00 +0000

Summary

Pre-requisites

Basic Statistics

Audience

UNC Charlotte Faculty and Graduate Students

Duration

Two 2-hour sessions

Date and Location

–

Useful Resources

R Essentials Bootcamp

Wed, 01 Dec 2021 00:00:00 +0000

Summary

Pre-requisites

Basic Analysis skills in STATA
Inferential Statistics / Regression

Audience

UNC Charlotte Faculty and Graduate Students

Duration

Three 4-hour sessions over three weeks

Date and Location

–