Learning two level multilevel regression: A jamovi-based approach (video 2)

This video is the second of 2 in the series (the first being:    • Learning two level multilevel regression: ...  ) aimed at providing an introduction to two-level multilevel regression modeling using data from the High School and Beyond Survey from the year 1982. I demonstrate concepts and strategy using the jamovi program, which you can download from here (https://www.jamovi.org/download.html). The examples in the video involve predicting student math achievement as a function of student level ('ses') and school-level ('mean_ses', 'schtype', 'size') variables. I walk you through (a) a model that includes 3 level 2 predictors (instead of the one from the previous video), (b) a model where the level 1 is allowed to randomly vary, (c) models including tests of cross level interactions. I also demonstrate how you can probe cross level interactions. You can obtain a copy of the data here (https://drive.google.com/open?id=1pew.... You can download a copy of the Powerpoint from this second video in the series here (https://drive.google.com/open?id=1LYx.... For more examples of multilevel modeling using various programs, go here: https://sites.google.com/view/statist... For those interested in learning multilevel modeling with SPSS, there is a nice workbook that can be found here: https://www.routledge.com/Multilevel-...