Keep Calm and Learn Multilevel Linear Modeling: A Three-Step Procedure Using SPSS, Stata, R, and Mplus
| Autor: | Sommet, Nicolas, Morselli, Davide |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
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 BF1-990 Statistics Methodology Psychology Psychology justin timberlake |
| Zdroj: | International Review of Social Psychology, Vol 34, Iss 1 (2021) International Review of Social Psychology; Vol 34, No 1 (2021); 24 International Review of Social Psychology, vol. 34, no. 1 |
| ISSN: | 2397-8570 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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