Hello everyone
Last chance to register for the upcoming 2-day Instats seminar by one of
the world's leading experts on multi-level and longitudinal research
methods, *professor Steve Raudenbush*: Hierarchical Linear Models (HLMs)
and Multilevel Causal Inference
<https://instats.org/seminar/hierarchical-linear-models-hlm-and-mul6120>
running March 9-10. The 6th of March is the last day to register and
receive the free software, so don't miss out!
Professor Raudenbush literally wrote the book on HLMs
<https://doc1.bibliothek.li/acb/FLMF038328.pdf> (with over 30,000
citations) and has done extensive work on the nature of causality and
causal inference with multi-level and longitudinal data models. Don't miss
out on this incredibly unique opportunity to be in a live session with
Steve, who will teach you how to *understand and use basic and advanced
multi-level and longitudinal data models with a series of hands-on
exercises over 2 days*!
Also, don't miss out on our upcoming seminars on Multilevel SEM in Mplus
<https://instats.org/seminar/multilevel-location-scale-models-group-7685>
(March 1-3), Advanced Panel Data Modeling
<https://instats.org/seminar/advanced-panel-data-modeling-with-stata3776>
(March 2-3), Introduction to Continuous Time Structural Equation Modeling
<https://instats.org/seminar/introduction-to-continuous-time-structur8917>
(March 15-17), and Survey Design and Analysis
<https://instats.org/seminar/measurement-modeling-designing-and-anal9866>
(March 15-17). 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
<https://u25630606.ct.sendgrid.net/ls/click?upn=nVdQE-2B8Stia1M6tUcM07RVQbRGyiFw0h18oRmOjW-2Feum7T2l44a0i3R-2BmE1SHmR0pdI82L9a8egSFf9sH8iUK-2FtF9pGRh1xtKxELQPim19d1oaBqI9cK1nIgWPU8WUEGWx5h_ukItYw4utsc-2BPJXOIs3muiWFkNLFxvzVjRDcRdGParWYcWpjz4bDfIxRcVZFwz2hbchU49RjchvJbIEZfuhAU1tO8tQXbdWu5jQei0rx1H597CbzM4Zg2wwFMQ9ZBeFJDGwkvoSL-2BcvD4bazfwYAxP-2FK2sM3Y-2FHu5XHydh-2F2MhzlHcC-2B0neBxDffrLZzsHX56s1pdhxvXDext0FAw7j5K-2BWbnqV065sn6-2BRrrsk6-2BbV4ACfxroXKmmRy9QfTUbLJQLaXhDSrOYTM-2FWHKDTdY78u-2BE4LvaEyrenEIkUxxyaH5-2Bq2aPwZ6atRIQYPRdn2OU-2BJkXX2iNhGq7UFCB-2Fl-2BAn-2BPvJ-2BK79u09BzzqVfDa-2F-2FFpBf9AyKwCslnuQr7cTix2H-2FuDUyxv0YGzmDoBcF80pXIrFKWz-2BUYEPOwLYChJvjIPK-2FOqSjSrpfJGgDKveaXYHr-2FkC5hn5m6IUXZkOZqIldIIix5XCtPM7DhGBKLIkdhhoJ5TxLt1rv4RzzfLgbFfCwf1HFBlmXXGJevFYXrOvHBdgX7e743YxXhPa-2BBwqDilF6y9o0QnBRTJsKtzkKj>
*in**stats.org* <http://instats.org>
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