Enrollment for this workshop will open spring 2020
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Tentative Workshop Outline

Module 1: Laying the Foundation
     Understand the key terms used in structural equation modeling
     Become acquainted with the notation
     Review variance, co-variance and correlation

     Recognize under-identified vs just-identified vs over-identified models

Module 2: Building the Ground Floor
     Understand how the variance/covariance matrix is incorporated in SEM
     Recognize differences between standardized and non-standardized output
     Goodness of fit statistics for SEM

Module 3: Confirmatory Factor Analysis
     Evaluation of single construct model
     Identifying/improving ill-fitting CFA models
     Comparing and choosing best fit model
     Calculating a construct’s reliability index

Module 4: Two or More Construct Models
     Understand discriminant and convergent validity
     Understand and implement the process of building a multiple construct model
     Recognizing causes and reasons for poor fitting models

Module 5: Invariance, Non-Invariance by Group or Time
     Tau equivalent constructs
     Invariance, non-invariance by group (male, female)
     Invariance, non-invariance by time (pre, post)

Module 6: Structural Equation Modeling
     SEM with covariates
     Constructs as predictors/outcomes
     Path Analysis

Module 7: Structural Equation Modeling (con’t)
     Latent Growth Models

Module 8: Recap from Start to Finish

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Dates and Times:

Live Workshop: Thursdays from 12 Noon - 2pm (EST)

Module 1 – April 2

Module 2 – April 9

Module 3 – April 16 

Module 4 – April 23

------------------------- Break Week --------------------------

Module 5 – May 7

Module 6 – May 14

Module 7 – May 21

Module 8 – May 28

Q&A Sessions: Wednesdays from 12 Noon - 1pm (EST)

Module 1 – April 8

Module 2 – April 15

Module 3 – April 22

------------------------- Break Week --------------------------

Module 4 – May 6

Module 5 – May 13

Module 6 – May 20

Module 7 – May 27

Module 8 – June 3

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Software and Resources
This workshop will provide resources for the following software:

Included for each software:
Exercises and solutions
Data sets
 Syntax and Demo Videos
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Your Instructor

Jeff Meyer is a statistical consultant and the Stata expert at The Analysis Factor. He teaches workshops and provides Stata examples for a number of our workshops, including Intro to Stata, Missing Data, and Repeated Measures.

He also runs his own consulting firm, Optimizing Outcomes, which helps non-profits determine the impact of their outcomes.

Jeff has an MBA from the Thunderbird School of Global Management and an MPA with a focus on policy from NYU Wagner School of Public Service.

Your Satisfaction Is Guaranteed

As with all our programs, your satisfaction is guaranteed. If you participate fully in this workshop–watch, read, and try out everything included–and find you are not satisfied for any reason, we will give you a full refund. Just notify us within 90 days of purchasing the program.