Skip to contents

Replication data for Bonilla and Tillery (2020), American Political Science Review (obtained from Dataverse 10.7910/DVN/IUZDQI)

Source: R/data.R
bonilla_tillery.Rd

One row per survey respondent. Z is the randomly assigned message (a factor with four levels) and blm_support the outcome; the remaining columns are respondent characteristics.

Usage

bonilla_tillery

Format

A data frame with 849 rows and 10 columns: female, lgbtq, age, religiosity, income, college, blm_familiarity, linked_fate, Z, and blm_support.

Source

Bonilla, Tabitha, and Alvin B. Tillery. 2020. "Which Identity Frames Boost Support for and Mobilization in the #BlackLivesMatter Movement? An Experimental Test." American Political Science Review 114(4): 947-962. doi:10.1017/S0003055420000544 . Data from Dataverse, doi:10.7910/DVN/IUZDQI .

Examples


estimatr::lm_robust(blm_support ~ Z, data = bonilla_tillery)
#>                    Estimate Std. Error   t value      Pr(>|t|)    CI Lower
#> (Intercept)      0.84191176 0.01531579 54.970183 2.731468e-281  0.81185031
#> Znationalism    -0.01181468 0.02125833 -0.555767  5.785173e-01 -0.05354000
#> Zfeminism       -0.03623491 0.02203460 -1.644455  1.004543e-01 -0.07948389
#> Zintersectional -0.03714986 0.02247282 -1.653102  9.868161e-02 -0.08125896
#>                    CI Upper  DF
#> (Intercept)     0.871973220 845
#> Znationalism    0.029910644 845
#> Zfeminism       0.007014069 845
#> Zintersectional 0.006959240 845