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Register now for Survey Design/Analysis and our Continuous-Time SEM (CTSEM) seminars

  • 1.  Register now for Survey Design/Analysis and our Continuous-Time SEM (CTSEM) seminars

    Posted 03-08-2023 20:06
    Hello everyone

    Last chance to register for the upcoming 2-day Instats seminars:
    1) Survey Design and Analysis by professor Bert Weijters, running March 15-17. This seminar is coupled with two free on-demand workshops introducing you to Path Analysis and CFA/SEM, representing an $800 value. This seminar covers the most current best practices for design and analysis. This involves theory and statistical modeling, taught through hands-on exercises, by treating measurement as (a) the selection of indicators of latent constructs, (b) data collection as a psychological process of survey responding, and then (c) specifying and testing measurement models that are able to adequately reflect this process (using CFA). Sign up today!
    2) Introduction to Continuous Time Structural Equation Modeling by professor Christian Dormann, running March 15-17. This seminar is coupled with a free on-demand workshop introducing Longitudinal SEM in R, representing a $400 value. If you've wanted to expand your research skills so that you can work with continuous time models and avoid the pitfalls of discrete measurement occasions (e.g., in your cross-lagged or VAR models), then this workshop is for you! Professor Dormann will be covering the fundamental logic of CTSEM and then proceed to offer a variety of hands-on examples, with accompanying R code, so that you can use these methods in your daily research. Sign up today!
    Also, don't miss our upcoming seminars on Causal Inference with Cross-Sectional Data with prof Jeffrey Wooldridge (March 21-22) and Dynamic Structural Equation Modeling (DSEM) with prof Michael Zyphur (April 6-7). These are filling up quickly so make sure you and your colleagues/PhD students don't miss out!
    Best wishes and happy modeling!
    Michael Zyphur
    Director
    Institute for Statistical and Data Science


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    Michael Zyphur
    Professor
    UQ Business School
    University of Queensland
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