Keep Calm and Learn Multilevel Linear Modeling: A Three-Step Procedure Using SPSS, Stata, R, and Mplus. Issue 1 (9th September 2021)

• Record Type: Journal Article
• Authors: Sommet, Nicolas; Morselli, Davide
• Is Part Of: International review of social psychology. Volume 34:Issue 1(2021)
• Publication Date: 2021-09-09
• Subjects: linear regression -- multilevel modeling -- grand- and cluster-mean centering -- slope residual variance and covariance terms -- cross-level interaction -- confidence intervals -- simulations -- three-step procedure -- Justin Timberlake; Social psychology -- Periodicals; 302.05
• DOI: 10.5334/irsp.555
• Languages: English
• ISSNs: 2397-8570

Abstract

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.