Contains the job satisfaction score organized by gender and education level.
It is the data set used in the Datanovia tutorial “Two-Way ANOVA in R: Two Factors and Their Interaction” (https://www.datanovia.com/learn/biostatistics/anova/two-way-anova-in-r).
data("jobsatisfaction")A data frame with 58 rows and 4 columns (stored as a tibble).
participant identifier (1 to 58).
the participant's gender, "male" or "female".
the participant's education level, "school", "college" or "university".
a simulated job satisfaction score (an arbitrary scale with no real-world units).
A simulated dataset for teaching two-way ANOVA.
Datanovia tutorial: Two-Way ANOVA in R: Two Factors and Their Interaction.
data(jobsatisfaction)
head(jobsatisfaction)
#> # A tibble: 6 × 4
#> id gender education_level score
#> <fct> <fct> <fct> <dbl>
#> 1 1 male school 5.51
#> 2 2 male school 5.65
#> 3 3 male school 5.07
#> 4 4 male school 5.51
#> 5 5 male school 5.94
#> 6 6 male school 5.8
# Two-way ANOVA of satisfaction by gender and education level
summary(aov(score ~ gender * education_level, data = jobsatisfaction))
#> Df Sum Sq Mean Sq F value Pr(>F)
#> gender 1 0.54 0.54 1.787 0.18709
#> education_level 2 113.68 56.84 187.892 < 2e-16 ***
#> gender:education_level 2 4.44 2.22 7.338 0.00156 **
#> Residuals 52 15.73 0.30
#> ---
#> Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1