Havrankova2025: 1159 effect sizes from a meta-analysis of beauty and...
In RoBMA: Robust Bayesian Meta-Analyses

Havrankova2025

R Documentation

1159 effect sizes from a meta-analysis of beauty and professional success by \insertCitehavrankova2025beauty;textualRoBMA

Description

The data set contains effect sizes (percent increase in earnings), standard errors, study identifiers, sample sizes, and the type of customer contact (no, some, or direct). The meta-analysis examined the relationship between perceived beauty and professional success \insertCitehavrankova2025beautyRoBMA.

Usage

Havrankova2025

Format

A data.frame with 5 columns and 1159 observations:

y: Effect size: percent increase in earnings.
se: Standard error of y.
facing_customer: Type of customer contact.
study_id: Study identifier.
N: Sample size.

References

\insertAllCited

RoBMA documentation built on May 7, 2026, 5:08 p.m.

RoBMA index

Package overview README.md Bayesian Meta-Analysis" Bayesian Model Averaging" Feature Coverage Generalized Linear Mixed-Effects Meta-Analysis" Informed Bayesian Model-Averaged Meta-Analysis in Medicine" Informed Bayesian Model-Averaged Meta-Analysis with Binary Outcomes Introduction to RoBMA" Location-Scale Meta-Analysis" Multilevel Meta-Analysis" Multilevel Robust Bayesian Meta-Analysis" Multilevel Robust Bayesian Model-Averaged Meta-Regression" Prior Distributions" Publication-Bias Adjustment" Robust Bayesian Meta-Analysis Robust Bayesian Model-Averaged Meta-Regression" Tutorial: Adjusting for Publication Bias in JASP and R - Selection Models, PET-PEESE, and Robust Bayesian Meta-Analysis" Zplot Publication-Bias Diagnostics"

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