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Institute for Statistical and
Data Science |
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Instats is dedicated to helping researchers tackle their
data-analytic challenges by providing hands-on training and expert consulting |
Featured Structured Course |
Instats is pleased to announce a series of 2-day seminars on panel data modeling and causal inference with difference-in-differences (DiD) methods. These are being offered in collaboration with professors Jeffrey Wooldridge and Malvina Marchese in their four-part course Panel Data Modeling: From Static Models to DiD Estimation and Causal Inference using Stata. The first two seminars cover basic and advanced panel data methods by professor Marchese: Panel Data Models and Methods in Stata (Feb 16 - 17) and Advanced Panel Data Modeling with Stata (Mar 2 - 3), including the nonlinear case. Malvina is a great communicator and educator in this area, so don't miss out on this opportunity to learn about the most modern methods for analyzing panel data! The next seminars by professor Wooldridge introduce methods for causal inference, and then synthesize this with panel data models by covering DiD methods: Causal Inference with Cross-Sectional Data (Mar 22 - 23) and Difference-in-Differences (DiD) Methods with Panel Data (April 5 - 6), including recent cutting-edge applications. As many of you may know, Jeff is one of the best known and most cited econometricians, so it is a real treat to be able to host his seminars — and he’s agreed to stay on the Zoom sessions at the end of each day to continue chatting if you’d like! By registering for this four-part course, you will gain a comprehensive understanding of panel data modeling, alongside methods for causal inference with cross-sectional and panel data. Registering for all 4 seminars also provides a 10% discount, which is in addition to the very affordable pricing that Instats already offers — especially for PhD students. Please get in touch with any questions including group discounts with 5 or more, and please tell your colleagues, students, and friends about this once in a lifetime opportunity to learn directly from these experts! |
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Structured courses are sets of seminars that offer comprehensive coverage for a range of analysis methods and software, with a 10% discount applied to each seminar in the series. Seminar's can also be registered for separately. |
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Upcoming Live-Streaming Seminars |
Live-streaming seminars are delivered over 2 days and include interactive tutorials, discussion, and activities. To enable asynchronous learning, recordings of all sessions and instructor support are available for 30 days. |
February 6, 7 & 8 Instructor: Dr Jonas Lang Business School, University of Exeter and Journal of Applied Psychology The hands-on course teaches basic and intermediate multilevel techniques used in the social and organizational sciences in an accessible manner. The course relies on the free software R and the modeling packages lme4 and nlme along with help functions and datasets from the multilevel library (Bliese, 2021). Topics include (1) aggregation models and the use of agreement and reliability statistics like the ICC1, ICC2, and rwg, (2) model specification and interpretation of “standard” multilevel models used in organizational research (data centering, random slopes, interaction effects), (3) graphical methods to examine model assumptions, and (4) useful extensions of the standard model to test phenomena such as cross-classified multilevel models and consensus emergence in groups. When purchasing the seminar you will be freely enrolled in an on-demand seminar on multilevel SEM in Mplus by Professor Zyphur, helping you to extend your multilevel learning and offering a substantial value. An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, each seminar offers 2 ECTS Equivalent points. |
February 8, 9 & 10 Instructor: Dr Mike Cheung Department of Psychology, National University of Singapore This seminar introduces the basic theory of meta-analytic structural equation modeling (MASEM) and illustrates how to conduct the analyses with R. Meta-analytic structural equation modeling (MASEM) is an incredibly powerful tool for hypothesis and theory testing, relying on pooled correlation matrices from primary studies, and this seminar will teach you the basics of MASEM and how to apply it in your own research, using many hands-on examples with Professor Cheung's R package for MASEM. When purchasing the MASEM seminar you will be freely enrolled in two on-demand seminars that introduce the logic of path analysis and CFA/SEM in R by Professor Zyphur, offering a substantial value. An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, the seminar offers 2 ECTS Equivalent points. |
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