Task Achievment Data for Cochran's Q Test

Repeated measures nominal designs where 73 subjects are asked to perform 3 tasks. The outcome of each task is a dichotomous value, success or failure. Each row correspond to a participant (called "block" in the jargon). This a demo dataset for Cochran's Q test.

It is the data set used in the Datanovia tutorial “Cochran's Q Test in R: Compare Three or More Paired Proportions” (https://www.datanovia.com/learn/biostatistics/categorical/cochran-q-test-in-r).

data("taskachievment")

Format

A data frame with 73 rows and 4 columns (stored as a tibble).

participant

participant identifier (1 to 73).

Task1

the outcome of task 1: 0 (failure) or 1 (success).

Task2

the outcome of task 2: 0 (failure) or 1 (success).

Task3

the outcome of task 3: 0 (failure) or 1 (success).

Source

A simulated dataset for teaching Cochran's Q test.

See also

Datanovia tutorial: Cochran's Q Test in R: Compare Three or More Paired Proportions.

Examples

data(taskachievment)
head(taskachievment)
#> # A tibble: 6 × 4
#>   participant Task1 Task2 Task3
#>   <fct>       <dbl> <dbl> <dbl>
#> 1 1               0     0     1
#> 2 2               0     0     0
#> 3 3               1     1     1
#> 4 4               1     1     1
#> 5 5               0     0     1
#> 6 6               0     0     0

# Proportion of success for each task
colMeans(taskachievment[, c("Task1", "Task2", "Task3")])
#>     Task1     Task2     Task3 
#> 0.2602740 0.4383562 0.6164384