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Keep Calm and Learn Multilevel Linear Modeling: A Three-Step Procedure Using SPSS, Stata, R, and Mplus
by
Morselli, Davide
, Sommet, Nicolas
in
Cats
/ Datasets
/ Households
/ Hypotheses
/ Hypothesis testing
/ Popularity
/ Regression analysis
/ Software
/ Timberlake, Justin
/ Variables
2021
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Do you wish to request the book?
Keep Calm and Learn Multilevel Linear Modeling: A Three-Step Procedure Using SPSS, Stata, R, and Mplus
by
Morselli, Davide
, Sommet, Nicolas
in
Cats
/ Datasets
/ Households
/ Hypotheses
/ Hypothesis testing
/ Popularity
/ Regression analysis
/ Software
/ Timberlake, Justin
/ Variables
2021
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Keep Calm and Learn Multilevel Linear Modeling: A Three-Step Procedure Using SPSS, Stata, R, and Mplus
Journal Article
Keep Calm and Learn Multilevel Linear Modeling: A Three-Step Procedure Using SPSS, Stata, R, and Mplus
2021
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Overview
This piece is meant to help you understand and master two-level linear modeling in an accessible, swift, and fun way (while being based on rigorous and up-to-date research). It is divided into four parts:* PART 1 presents the three key principles of two-level linear modeling.* PART 2 presents a three-step procedure for conducting two-level linear modeling using SPSS, Stata, R, or Mplus (from centering variables to interpreting the cross-level interactions).* PART 3 presents the results from a series of simulations comparing the performances of SPSS, Stata, R, and Mplus.* PART 4 gives a Q&A addressing multilevel modeling issues pertaining to statistical power, effect sizes, complex design, and nonlinear two-level regression.The empirical example used in this tutorial is based on genuine data pertaining to ʼ90s and post-ʼ00s boy band member hotness and Instagram popularity. In reading this paper, you will have the opportunity to win a signed picture of Justin Timberlake.
Publisher
Ubiquity Press
Subject
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