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Psychol Methods February 2019 PMID 30265048

Statistical power in two-level models: A tutorial based on Monte Carlo simulation.

Matthias G Arend, Thomas Schäfer

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Mentions

23
Peak: 10 in Nov 2023
across 2 sources since Jan 2019

Extended reach

18,688
potential audience

Total likes

161

Video views

4,364

Mentions per month

Jan 2019 – Jan 2024

Where it's discussed

  • X / Twitter21 posts
  • YouTube2 videos

AI synopsis

What people are saying

This collection of discussions reflects widespread appreciation for the article's practical guidance, with examples like mentions of simulation tools such as R and Jamovi, and references to key papers like Arend & Schäfer (2019). The tone varies from informative to enthusiastic, emphasizing both the tutorial's utility and its potential to improve research quality.

AgreementModerate agreement

Most individuals acknowledge the importance of the tutorial and its contributions to understanding power analysis in multilevel models, supported by references to key papers and methods.

InterestHigh interest

Discussions show a high level of excitement and curiosity, with references to practical tools like R and Jamovi, indicating strong engagement with the topic.

EngagementModerate engagement

People reference specific concepts such as Monte Carlo simulations, effect sizes, and sample size guidelines, demonstrating active involvement and deeper understanding.

ImpactModerate impact

The discussions highlight that the article influences best practices in statistical analysis and encourages adopting simulation tools for research design.

Abstract in brief

  • This text explains that estimating statistical power in two-level models, which analyze hierarchically structured data, is complex due to variance at two levels and predictors at both levels.
  • It introduces a hands-on tutorial using Monte Carlo simulations and the SIMR method to perform pre- and post-hoc power analyses, including guidance on setting standardized input parameters and interpreting results.
  • The study provides practical rules of thumb for sample sizes and detectable effect sizes, indicating that moderate effects can be identified with certain sample sizes, while small effects, especially at the higher level, remain difficult to detect with typical cluster numbers.
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Top posts

Most liked on X and Bluesky
ADRIPS
@ADRIPS_comm · X

Nov 13, 2023 · 18 likes · 9 shares · 1,002 followers View post →
Daniel Coppersmith
@ddlcoppersmith · X

@dp_moriarity @eisenlohr_moul Citations: “Statistical power in two-level models: A tutorial based on Monte Carlo simulation”: https://t.co/VUqz5veTRP “Number of Subjects and Time Points Needed for Multilevel Time-Series Analysis”: https://t.co/XDdLTCHlig

Oct 19, 2020 · 7 likes · 1 share · 1,163 followers View post →
Daniel Gucciardi
@DanielGucciardi · X

Nice paper "Statistical power in two-level models: A tutorial based on Monte Carlo simulation" inc demonstration with R package SIMR & guidelines for sufficient sample sizes (80% power) for various effect sizes & sizes of the variance components => https://t.co/IIFLws3RXR

Jan 16, 2019 · 5 likes · 2 shares · 2,016 followers View post →
Leslie Brick
@LeslieBrickPhD · X

@JTWaddell7 Arend and Schafer (2019) is a handy paper that includes some power tables based on MC simulaton for two-level models with varying N and T. Also has R code to run your own simulations. https://t.co/6k9pkBoVUM

Sep 21, 2020 · 5 likes · 891 followers View post →
Niclas Kuper
@niclas_kuper · X

@georg_henning @AStenling @GinetteLafit Generally important to note that power for even moderate cross-level interaction effects is often low with typical sample sizes. See also this excellent paper: https://t.co/7Xen7dDxbQ

Feb 14, 2022 · 4 likes · 857 followers View post →
Daniel Gucciardi
@DanielGucciardi · X

@pdakean "Statistical power in two-level models: A tutorial based on Monte Carlo simulation" inc demonstration with R package SIMR & guidelines for sufficient sample sizes (80% power) for various effect sizes & sizes of the variance components => https://t.co/l6dBBmeyLW

Jan 19, 2019 · 3 likes · 2,016 followers View post →

All mentions

Understanding Two-Level Regression with R and SPSS

This video covers conducting two-level regression using R, Stata, Mplus, or SPSS. It introduces a three-step procedure for analysis, including centering predictors and establishing final models. Explore the practical…

ADRIPS · Jan 15, 2024 975 views
Marie Delacre
@mdelacre1 · X

RT @ADRIPS_comm:

Jan 10, 2024 · 9 shares · 251 followers View post →
Camille Grasso
@grasso_camille · X

RT @ADRIPS_comm:

Dec 19, 2023 · 9 shares · 281 followers View post →
Laurence Chaby
@chab_laurence · X

Qu’est-ce qu’une analyse de puissance ? Calculer sa taille d’échantillon-cible avec Jamovi, G*Power et R, par @brice_beffara https://t.co/HaBCN0fV4i #Statistics #jamovi

Nov 21, 2023 · 1 like · 174 followers View post →
Psychologie robuste et fiable
@sci_psy · X

RT @ADRIPS_comm:

Nov 15, 2023 · 9 shares · 221 followers View post →
Brice Beffara
@brice_beffara · X

RT @ADRIPS_comm:

Nov 15, 2023 · 9 shares · 956 followers View post →
le mec chiant
@idaho20 · X

RT @ADRIPS_comm:

Nov 13, 2023 · 9 shares · 281 followers View post →
LAPPS - équipe ENOSIS
@LAPPS_UP8 · X

RT @ADRIPS_comm:

Nov 13, 2023 · 9 shares · 181 followers View post →
Gaëlle Marinthe
@GaelleMarinthe · X

RT @ADRIPS_comm:

Nov 13, 2023 · 9 shares · 343 followers View post →
Fanny Ollivier
@fanny_oll · X

RT @ADRIPS_comm:

Nov 13, 2023 · 9 shares · 411 followers View post →
JB Légal
@jblegal · X

RT @ADRIPS_comm:

Nov 13, 2023 · 9 shares · 337 followers View post →
ADRIPS
@ADRIPS_comm · X

Nov 13, 2023 · 18 likes · 9 shares · 1,002 followers View post →
Nicolas Sommet
@nicolas_sommet · X

@CForestier_PhD A great piece is: Arend & Schäfer (2019,

Aug 9, 2022 · 3 likes · 903 followers View post →
Niclas Kuper
@niclas_kuper · X

@georg_henning @AStenling @GinetteLafit Generally important to note that power for even moderate cross-level interaction effects is often low with typical sample sizes. See also this excellent paper: https://t.co/7Xen7dDxbQ

Feb 14, 2022 · 4 likes · 857 followers View post →
Ryan
@Ryanzoriaa · X

RT @ddlcoppersmith: @dp_moriarity @eisenlohr_moul Citations: “Statistical power in two-level models: A tutorial based on Monte Carlo simula…

Oct 19, 2020 · 1 share · 525 followers View post →
Daniel Coppersmith
@ddlcoppersmith · X

@dp_moriarity @eisenlohr_moul Citations: “Statistical power in two-level models: A tutorial based on Monte Carlo simulation”: https://t.co/VUqz5veTRP “Number of Subjects and Time Points Needed for Multilevel Time-Series Analysis”: https://t.co/XDdLTCHlig

Oct 19, 2020 · 7 likes · 1 share · 1,163 followers View post →
Maurizio Sicorello @mauriziosicorello@fediscience
@MLSicorello · X

@eisenlohr_moul @AleksaKaurin Favorite paper on LMM power analysis: https://t.co/H5JuqBw39e On standardized effect sizes in LMMs: https://t.co/2hipFErWGT. But although non-LMM, this is the reason I prefer unstandardized/POMP scores LMM: https://t.co/ib7FPcmZQp

Oct 19, 2020 · 2 likes · 528 followers View post →
Leslie Brick
@LeslieBrickPhD · X

@JTWaddell7 Arend and Schafer (2019) is a handy paper that includes some power tables based on MC simulaton for two-level models with varying N and T. Also has R code to run your own simulations. https://t.co/6k9pkBoVUM

Sep 21, 2020 · 5 likes · 891 followers View post →
Daniel Gucciardi
@DanielGucciardi · X

@pdakean "Statistical power in two-level models: A tutorial based on Monte Carlo simulation" inc demonstration with R package SIMR & guidelines for sufficient sample sizes (80% power) for various effect sizes & sizes of the variance components => https://t.co/l6dBBmeyLW

Jan 19, 2019 · 3 likes · 2,016 followers View post →
Dr. Danielle Molnar
@DPHWB_Lab · X

RT @DanielGucciardi: Nice paper "Statistical power in two-level models: A tutorial based on Monte Carlo simulation" inc demonstration with…

Jan 17, 2019 · 2 shares · 288 followers View post →
Mari Todd
@Marirunriderow · X

RT @DanielGucciardi: Nice paper "Statistical power in two-level models: A tutorial based on Monte Carlo simulation" inc demonstration with…

Jan 16, 2019 · 2 shares · 504 followers View post →
Daniel Gucciardi
@DanielGucciardi · X

Nice paper "Statistical power in two-level models: A tutorial based on Monte Carlo simulation" inc demonstration with R package SIMR & guidelines for sufficient sample sizes (80% power) for various effect sizes & sizes of the variance components => https://t.co/IIFLws3RXR

Jan 16, 2019 · 5 likes · 2 shares · 2,016 followers View post →