Announcing Instats 2023 Seminars

Announcing Instats 2023 Seminars

Instats.org offers hands-on seminars covering introductory and advanced statistical methods, as well as statistical consulting by global research methods leaders. Our workshops are held remotely for participants across the globe, with an emphasis on PhD and post PhD researchers from academia as well as the non-profit, government, and private sectors – Instats offers certificates of completion and ECTS equivalent points awarded for European PhD students. You are invited to come along attend one of our over 50 on-demand or livestreamed seminars, as well as our multi-seminar structured courses. Instats also offers free workshops and office hours so that you can get the help you need at no cost. If you are not able to attend a livestream seminar, you are always able to participate asynchronously through the Instats platform. Come along to upcoming seminars and courses such as:

Introduction to Multilevel Modeling in SPSS and Mplus by professor Vicente Gonzalez-Roma, January 23-25. This workshop will provide you with everything you need to know to start planning, conducting, and publishing your own multilevel research. As an added bonus, if you sign up for this seminar you also get free enrolment in a 2-day seminar on Multilevel SEM in Mplus.

Multilevel Modeling in R: Basic and Advanced Methods by professor Jonas Lang, February 6-8. If you're an R user, this workshop is a perfect introduction to the topic, covering key multilevel concepts with hands-on applications, giving you everything you need to plan, conduct, and publish your own multilevel research in top outlets. As an added bonus, if you sign up for this seminar you also get free enrolment in a 2-day seminar on Multilevel SEM in R.

Meta-Analytic SEM in R by professor Mike Cheung, February 8-10. This seminar introduces the basic theory of meta-analytic structural equation modeling (MASEM) and illustrates how to conduct the analyses with R, using many hands-on examples with Professor Cheung's R package for MASEM. As an added bonus, if you sign up for this seminar you also get free enrolment in two 2-day seminars introducing the logic of path analysis and CFA/SEM in R.

Panel Data Modeling: From Static Models to Difference-in-Differences Estimation and Causal Inference with professors Jeffrey Wooldridge and Malvina Marchese, comprised of four separate 2-day seminars on basic and advanced panel data modeling, causal inference, and difference-in-differences methods. The seminars run starting February 16, March 2, March 22, and April 5. Don’t miss out on this unique opportunity to learn about panel data models and advanced causal inference methods -- and note that you can register for any of the four 2-day seminars independent of the full course if you wish.

Dynamic Modeling, Non-Stationarity, and Cointegration by professor Stephen Hall, February 21-22. Any modelling exercise involving time series data depends crucially on the correct treatment of any non-stationarity which may be present in the data, and this seminar provides a hands-on exploration of developments in dynamic modelling and non-stationarity longitudinal data modeling.

Introduction to SEM with PLS: From Basics to Advanced Applications by professor James Gaskin, February 24-25. This seminar will take you from zero experience with SmartPLS to conducting advanced analyses including path models and structural equation models estimated via PLS, with hands-on worked examples illustrating the conceptual foundations and more advanced applications. As an added bonus, if you sign up for this seminar you also get free enrolment in two 2-day seminars introducing the logic of path analysis and CFA/SEM in Mplus.

Multilevel Location-Scale SEM: Group Variances as Controls, Moderators, and Indicators by professor Michael Zyphur. This workshop will take you through advanced applications of multilevel modeling, treating within-group variation as a variable at the group level. By the conclusion of the workshop, you'll have a solid understanding of how to properly account for dispersion within groups and test new types of hypotheses about group emergence and other group processes. As an added bonus, if you sign up for this seminar you also get free enrolment in a 2-day seminar on Multilevel SEM in Mplus.

Hierarchical Linear Models (HLM) and Multilevel Causal Inference professor Stephen Raudenbush. Professor Raudenbush literally wrote the book on the topic, and this is a unique opportunity to learn about multilevel and longitudinal data modeling from him. Don't miss out on being in a live session with professor Raudenbush to discuss multilevel research methods and causal inference!

Measurement Modeling: Designing and Analyzing Data from Surveys in Mplus by professor Bert Weijters, March 15-17. This seminar approaches measurement modeling from the perspective of survey respondents’ psychology to produce better measurement models, both conceptually and statistically, including (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). As an added bonus, if you sign up for this seminar you also get free enrolment in two 2-day seminars introducing the logic of path analysis and CFA/SEM in Mplus.

Introduction to Continuous Time Structural Equation Modeling (CTSEM) by professor Christian Dormann, March 15-17. This seminar introduces the use of Continuous Time Structural Equation Modeling to examine phenomena over time in the social and health sciences (aka, Continuous Time Dynamic System Analysis, Hierarchical Continuous Time State Space Modelling). The R package ctsem is introduced, with hands-on coverage of topics including data preparation, model setup, parameter estimation, and interpretation of results. As an added bonus, if you sign up for this seminar you also get free enrolment in two 2-day seminars introducing the logic of path analysis and CFA/SEM in R.

Measurement Invariance: Classic, Partial, Approximate, and Automated Alignment by professor Michael Zyphur, April 6-7. This hands-on seminar explores classic and cutting-edge methods for evaluating measurement invariance across two or more groups, including the special case of many items and/or groups (100 or more), with worked examples of classic, partial, approximate, and automated alignment methods using real-world data in Mplus. As an added bonus, if you sign up for this seminar you also get free enrolment in two 2-day seminars introducing the logic of path analysis and CFA/SEM in Mplus.

Qualitative Comparative Analysis (QCA) in R: From Beginning to Advanced Applications by professor Carsten Schneider, comprised of two 2-day seminars offering comprehensive coverage of Qualitative Comparative Analysis (QCA), starting with the basics of formal logic and set theory, to strategies of applying these tools correctly and most effectively for the analysis of social science data within R, which is currently the most versatile software environment for this task. The seminars run starting March 29 and April 19. Don’t miss out on this unique opportunity to learn about QCA from one of the world’s premier experts!

Dynamic Structural Equation Modeling (DSEM) in Mplus by professor Michael Zyphur, May 4-5. This seminar will show you how to model intensive longitudinal panel data as a multilevel model. This type of dynamic SEM (DSEM) allows separating the stable and unstable components of observed variables over time, offering several advantages such as the inclusion of time-varying variables and lagged relationships to assess predictive forms of causality over time, as well as random slopes to reflect individual differences in effects. As an added bonus, if you sign up for this seminar you also get free enrolment in a 2-day seminar covering Longitudinal SEM in Mplus.
For more information including our group discounts with 5 or more people, please email info@instats.org, and happy modeling!