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JASP 0.11.1 Tutorial: Multiple Linear Regression (Episode 14)
Автор: Alexander Swan, Ph.D.
Загружено: 2020-03-07
Просмотров: 19485
Описание:
In this JASP tutorial, I go through a multiple predictor model fit for a multivariate linear regression (Frequentist). I do a poor-man's hierarchical demonstration using JASP's built in null modeling function. NOTE: in this build, JASP currently does not support block hierarchical regression.
NOTE: This tutorial uses the new preview/beta build of 0.11.1.0. This build contains slightly more function than the previous 0.10.2.0 build of the previous videos, but it is functionally the same for the purposes of this tutorial.
Find me on Twitter: @ProfASwan
Go to my website: swanpsych.com
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