STATA Training Experts-Kenya

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Structural equation modeling using STATA

Description

This course introduces structural equation modeling and its implementation in Stata. Stata allows for fitting structural equation models in two ways—by using the command syntax or using the SEM Builder to draw path diagrams. Examples will demonstrate both approaches, starting with linear regression up to confirmatory factor analysis and growth curve modeling. Model identification and evaluation will also be extensively discussed. The course concludes with a brief introduction to multilevel models and generalized linear models within the SEM framework.

Price: $500

We offer a 15% discount for group enrollments of three or more participants.

Course topics

 Overview of linear structural equation modeling
• Model description
• Process of fitting and evaluating structural equation models
• Description of path diagrams
 Stata’s tools for SEM
• Fitting models with the sem command
• Fitting models with the SEM Builder by drawing path diagrams
• Using the ssd commands to work with summary statistics
 Details on specific types of structural equation models
• Models with observed variables
 Linear regression
 Path analysis
 Mediation analysis
• Models with latent and observed variables
 Confirmatory factor analysis
 Full structural equation models
 Latent growth curves
• Models with multiple groups
 Testing and interpreting linear SEM results
• Standardized results
• Direct, indirect, and total effects
• Goodness-of-fit statistics
• Modification indices
• Model comparison
 Overview of generalized structural equation modeling and the gsem command
• Fitting multilevel models
• Fitting models with binary, ordered, count, and categorical outcomes
 Report results from a structural equation modeling analysis

Prerequisite

A general familiarity with Stata and a graduate-level course in regression analysis or comparable experience.

Course Dates: OPEN/DAILY

Using Stata effectively: The fundamentals

Description

Gain a comprehensive understanding of four key elements in Stata: data management, statistical analysis, graphics, and reproducible reporting. Designed for both beginners and users seeking to increase their proficiency, this course equips you with the fundamentals for working efficiently in Stata. By the end of the course, you will be able to import, clean and manage your data, perform basic analyses and visualize results, create customized graphics, and write dynamic reports using Stata.

Price: $200

We offer a 15% discount for group enrollments of three or more participants.

Course topics

 Introduction to Stata
o Navigating the interface
o Customizing preferences
o Staying organized and keeping track of your work
o Locating and installing community-contributed extensions
 How to work in Stata
o Using the menu systems and dialog boxes
o Programming interactively with the Command window
o Creating reproducible scripts in the Do-file Editor
 Data management
o Importing diverse datasets
o Working in Stata's Data Editor
o Manipulating different data types: numeric, categorical, strings, dates and times
o Merging datasets strategically
 Statistical analysis
o Using estimation commands to fit models and test hypotheses
o Using postestimation commands to interpret results, make predictions, and posthoc comparisons
o Handling interactions and categorical variables
 Graphics
o Creating basic plots: histograms, scatterplots, bar graphs
o Constructing more complex visualizations
o Combining and overlaying plots
o Working with Stata's Graph Editor
 Reproducible reporting
o Generating publication-quality tables
o Writing dynamic reports that incorporate Stata results, graphics, and tables

The above lists are not exhaustive. They are meant to give an idea of the level and scope of each topic.

Prerequisites

 Basic computer skills
 The course is taught using Stata. It is appropriate for those who already own Stata and for those who are considering purchasing or upgrading. There is no requirement that the user already own a Stata license.

Course Dates: Open