ANES: men vs. women
07 August, 2023
Init
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## +load_packages(
haven
)
theme_set(theme_bw())
options(
digits = 3
)Data
d = read_spss("data/anes_timeseries_cdf_spss_20220916/anes_timeseries_cdf_spss_20220916.sav")
d_vars = df_var_table(d)
anes2022 = read_spss("data/anes_pilot_2022_spss_20221114/anes_pilot_2022_spss_20221214.sav")
anes2022_vars = df_var_table(anes2022)Analysis
#feelings for all groups
feeling_vars = anes2022_vars %>% filter(str_detect(label, "How would you rate "))
feelings = anes2022 %>% select(!!(feeling_vars$var_name))
#merge half missing vars
feelings$white = miss_fill(feelings$ftwhite1, feelings$ftwhite2)
feelings$black = miss_fill(feelings$ftblack1, feelings$ftblack2)
feelings$ftwhite1 = NULL
feelings$ftwhite2 = NULL
feelings$ftblack1 = NULL
feelings$ftblack2 = NULL
feelings_long = feelings %>%
pivot_longer(cols = everything()) %>%
mutate(
label = plyr::revalue(name, replace = c(
"black" = "Blacks",
"white" = "Whites",
"fthisp" = "Hispanics",
"ftasian" = "Asians",
"ftfbi" = "FBI",
"ftscotus" = "Supreme Court",
"fttrump" = "Trump",
"ftbiden" = "Biden",
"ftdem" = "Democrats",
"ftrep" = "Republicans",
"ftteach" = "Teachers",
"ftfem" = "Feminists",
"ftnfem" = "Non-feminists",
"ftjourn" = "Journalists",
"ftmen" = "Men",
"ftwomen" = "Women",
"fttrans" = "Transsexuals",
"jan6therm" = "January 6th Capital invaders"
))
)
#men vs. women
feelings_long %>%
filter(label %in% c("Men", "Women")) %>%
GG_denhist(var = "value", group = "label") +
ggtitle("How would you rate (men/women)? On a scale of 0-100") +
scale_x_continuous("Rating") +
scale_fill_discrete("Group")## Warning in GG_denhist(., var = "value", group = "label"): There were groups
## without any data. These were removed## Scale for x is already present.
## Adding another scale for x, which will replace the existing scale.
## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
GG_save("figs/ratings_men_women.png")## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.#barplot
feelings_long %>%
filter(label %in% c("Men", "Women")) %>%
GG_group_means(var = "value", groupvar = "label") +
ggtitle("How would you rate (men/women)? On a scale of 0-100") +
geom_hline(yintercept = 50, linetype = "dashed") +
scale_y_continuous(breaks = seq(0, 100, 10))## Missing values were removed.
GG_save("figs/men_women_barplot.png")
#stats
describe2(feelings_long$value, feelings_long$label)## New names:
## • `` -> `...1`#effect size
feelings_long %>%
filter(label %in% c("Men", "Women")) %>%
{
SMD_matrix(
.$value %>% as.numeric(),
.$label,
extended_output = T
)
}## $d
## Men Women
## Men NA -0.429
## Women -0.429 NA
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## $d_string
## Men Women
## Men NA "-0.43 [-0.50 -0.36]"
## Women "-0.43 [-0.50 -0.36]" NA
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## $CI_lower
## Men Women
## Men NA -0.499
## Women -0.499 NA
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## $CI_upper
## Men Women
## Men NA -0.358
## Women -0.358 NA
##
## $se_z
## [1] 1.96
##
## $se
## Men Women
## Men NA 0.0359
## Women 0.0359 NA
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## $p
## Men Women
## Men NA 8.45e-33
## Women 8.45e-33 NA
##
## $pairwise_n
## Men Women
## Men NA 3168
## Women 3168 NA#every group
feelings_long %>%
mutate(
label = fct_reorder(label, value, .fun = mean)
) %>%
GG_group_means(var = "value", groupvar = "label") +
ggtitle("How would you rate (men/women)? On a scale of 0-100", subtitle = "Data from ANES 2022 Pilot sample (USA, n = 1585)") +
geom_hline(yintercept = 50, linetype = "dashed") +
scale_y_continuous(breaks = seq(0, 100, 10), limits = c(0, 100)) +
scale_x_discrete(guide = guide_axis(n.dodge = 2))## Warning: There was 1 warning in `mutate()`.
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GG_save("figs/ratings_all_groups.png")Meta
#versions
write_sessioninfo()## R version 4.3.1 (2023-06-16)
## Platform: x86_64-pc-linux-gnu (64-bit)
## Running under: Linux Mint 21.1
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## [7] LC_PAPER=en_DK.UTF-8 LC_NAME=C
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## [11] LC_MEASUREMENT=en_DK.UTF-8 LC_IDENTIFICATION=C
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## time zone: Europe/Berlin
## tzcode source: system (glibc)
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## attached base packages:
## [1] stats graphics grDevices utils datasets methods base
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## other attached packages:
## [1] haven_2.5.3 kirkegaard_2023-08-04 psych_2.3.6
## [4] assertthat_0.2.1 weights_1.0.4 Hmisc_5.1-0
## [7] magrittr_2.0.3 lubridate_1.9.2 forcats_1.0.0
## [10] stringr_1.5.0 dplyr_1.1.2 purrr_1.0.1
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## [25] nnet_7.3-19 grid_4.3.1 fansi_1.0.4 jomo_2.7-6
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## [33] iterators_1.0.14 MASS_7.3-60 cli_3.6.1 rmarkdown_2.23
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## [73] highr_0.10 backports_1.4.1 broom_1.0.5 bslib_0.5.0
## [77] Rcpp_1.0.11 gridExtra_2.3 nlme_3.1-162 checkmate_2.2.0
## [81] xfun_0.39 pkgconfig_2.0.3#OSF
if (F) {
library(osfr)
#login
osf_auth(readr::read_lines("~/.config/osf_token"))
#the project we will use
osf_proj = osf_retrieve_node("https://osf.io/XXX/")
#upload all files in project
#overwrite existing (versioning)
osf_upload(
osf_proj,
path = c("data", "figures", "papers", "notebook.Rmd", "notebook.html", "sessions_info.txt"),
conflicts = "overwrite"
)
}