Tidy version of the "Bugs" dataset
Format
A data frame with 372 rows and 6 variables
subject. Dummy identity number for each participant.
gender. Participant's gender (Female, Male).
region. Region of the world the participant was from.
education. Level of education.
condition. Condition of the experiment the participant gave rating for (LDLF: low disgustingness and low frighteningness; HDLF: high disgustingness and low frighteningness; LDHF: low disgustingness and high frighteningness; HDHF: high disgustingness and high frighteningness).
desire. The desire to kill an arthropod was indicated on a scale from 0 to 10.
Details
This data set, "Bugs", provides the extent to which men and women want to kill arthropods that vary in frighteningness (low, high) and disgustingness (low, high). Each participant rates their attitudes towards all arthropods. Subset of the data reported by Ryan et al. (2013).
References
Ryan, R. S., Wilde, M., & Crist, S. (2013). Compared to a small, supervised lab experiment, a large, unsupervised web-based experiment on a previously unknown effect has benefits that outweigh its potential costs. Computers in Human Behavior, 29(4), 1295-1301.
Examples
dim(bugs_long)
#> [1] 372 6
head(bugs_long)
#> # A tibble: 6 × 6
#> subject gender region education condition desire
#> <int> <fct> <fct> <fct> <chr> <dbl>
#> 1 1 Female North America some LDLF 6
#> 2 2 Female North America advance LDLF 10
#> 3 3 Female Europe college LDLF 5
#> 4 4 Female North America college LDLF 6
#> 5 5 Female North America some LDLF 3
#> 6 6 Female Europe some LDLF 2
dplyr::glimpse(bugs_long)
#> Rows: 372
#> Columns: 6
#> $ subject <int> 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 1…
#> $ gender <fct> Female, Female, Female, Female, Female, Female, Female, Fema…
#> $ region <fct> North America, North America, Europe, North America, North A…
#> $ education <fct> some, advance, college, college, some, some, some, high, hig…
#> $ condition <chr> "LDLF", "LDLF", "LDLF", "LDLF", "LDLF", "LDLF", "LDLF", "LDL…
#> $ desire <dbl> 6.0, 10.0, 5.0, 6.0, 3.0, 2.0, 10.0, 10.0, 9.5, 8.5, 0.0, 9.…