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Bring any of the following courses directly to your users. All courses are fully customizable. View additional topics.
Handling Missing Data Using Multiple Imputation
Learn the fundamentals of multiple imputation for regaining power lost by
missing data. The course covers all aspects of using multiple-imputation
(MI) analysis interactively. Topics include creation of MI data using the
multivariate-normal and chained-equations (a.k.a. fully conditional
specification) imputation methods, manipulation of MI data, and analysis of
MI data. Exercises supplement the lessons and Stata examples.
(detailed description)
Length: 2 days
Multilevel/Mixed Models Using Stata
Measure and account for clustering and grouping at multiple levels. Whether
linear or nonlinear, multilevel modeling allows for random intercepts and
slopes at multiple levels, reducing the problems of too-much or too-little
data aggregation. The course is interactive, uses real data, offers
ample opportunity for specific research questions, and provides exercises to
reinforce what you learn.
(detailed description)
Length: 2 days
Panel-Data Analysis Using Stata
Learn both the theory and the practice of panel-data analysis. After
introducing the fixed-effects and random-effects approaches to unobserved
individual-level heterogeneity, the course covers linear models with
exogenous covariates, linear models with endogenous variables, dynamic
linear models, and some nonlinear models. The course also offers an
introduction to the generalized method of moments estimation technique.
Exercises supplement the lessons and Stata examples.
(detailed description)
Length: 2 days
Structural Equation Modeling Using Stata
Learn how to illustrate, specify, and estimate structural equation models in
Stata, using both Stata's SEM builder and the sem command. The course
introduces several types of models, including path analysis, confirmatory
factor analysis, full structural equation models, and latent growth curves.
Exercises supplement the lessons and Stata examples.
(detailed description)
Length: 2 days
Survey Data Analysis Using Stata
Set up and analyze data from complex survey designs. The course covers the
sampling methods used to collect survey data and how they affect the
estimation of totals, ratios, and regression coefficients. The course also
covers Stata's support for many survey variance estimators, including
linearization, balanced and repeated replications (BRR), and jackknife.
Exercises supplement the lessons and Stata examples.
(detailed description)
Length: 2 days
Time-Series Analysis Using Stata
Learn how to efficiently use Stata for time-series analysis. Topics include
data management, estimation, model selection, hypothesis testing, and
interpretation. Exercises supplement the lessons and Stata examples.
(detailed description)
Length: 2 days
Using Stata Effectively: Data Management, Analysis, and Graphics Fundamentals
Aimed at both new Stata users and those who wish to learn
techniques for efficient day-to-day use of Stata, this course enables
you to use Stata in a reproducible manner, making collaborative changes and
follow-up analyses much simpler.
Exercises will supplement the lectures and Stata examples.
(detailed description)
Length: 2 days