jiminy_cricket: Jiminy Cricket data

In profandyfield/discovr: Interactive Tutorials and Data for "Discovering Statistics Using R and RStudio"

Jiminy Cricket data

Description

A dataset from Field, A. P. (2023). Discovering statistics using R and RStudio (2nd ed.). London: Sage.

Usage

jiminy_cricket

Format

A tibble with 500 rows and 4 variables.

Details

Fictitious data inspired by my honeymoon at Disney in Orlando. The one blip in my tolerance of Disney, was their obsession with dreams coming true and wishing upon a star. Dreams are good, but a completely blinkered view that they'll come true without any work on your part is not. I think it highly unlikely that merely 'wishing upon a star' will make my dream come true. I wonder if the seismic increase in youth internalizing disorders (Twenge, 2000, 2011) is, in part, caused by millions of Disney children reaching the rather depressing realization that 'wishing upon a star' didn't work. Anyway, imagine that I collected some data from 250 people on their level of success using a composite measure involving their salary, quality of life and how closely their life matches their aspirations. This gave me a score from 0 (complete failure) to 100 (complete success). I then implemented an intervention: I told people that for the next 5 years they should either wish upon a star for their dreams to come true or work as hard as they could to make their dreams come true. I measured their success again 5 years later. People were randomly allocated to these two instructions. The data contains the following variables:

• id: participant id

• strategy: whether the person was allocated to the 'hard work' or 'wish upon a star' intervention

• time: whether the measure of success was taken before the intervention (pre-intervention) aor after it (post-intervention)

• success: the person's success from 0 (complete failure) to 100 (complete success) using my dodgy composite measure.

Source

www.discovr.rocks/csv/jiminy_cricket.csv

profandyfield/discovr documentation built on Oct. 29, 2023, 4:10 p.m.