Description:
I was born in England, which has some bizarre traditions. One such oddity is the World's Biggest Liar competition held annually at the Santon Bridge Inn in Wasdale (in the Lake District). The contest honours a local publican, ‘Auld Will Ritson', who in the nineteenth century was famous in the area for his far-fetched stories (one such tale being that Wasdale turnips were big enough to be hollowed out and used as garden sheds). Each year locals are encouraged to attempt to tell the biggest lie in the world (lawyers and politicians are apparently banned from the competition). Over the years there have been tales of mermaid farms, giant moles, and farting sheep blowing holes in the ozone layer (I am thinking of entering next year and reading out some sections of this book). Imagine I wanted to test a theory that more creative people will be able to create taller tales. I gathered together 68 past contestants from this competition and noted where they were placed in the competition (first, second, third, etc.). I also gave them a creativity questionnaire (maximum score 60). The position in the competition is an ordinal variable because the places are categories but have a meaningful order (first place is better than second place and so on). Therefore, Spearman's correlation coefficient should be used (Pearson's r requires interval or ratio data). The data for this study are in the file The Biggest Liar. The data are in two columns: one labelled Creativity and one labelled Position (there's a third variable in there, but we will ignore it for the time being). For the Position variable, each of the categories described above has been coded with a numeric value. First place has been coded with the value 1, with other positions being labelled 2, 3 and so on.

Variables:

• Creativity: Score in a creativity questionnaire
• Position: Position achieved in the World's Biggest Liar competition (in a particular year)
• Novice: Whether the contestant had entered the World's Biggest Liar competition before?

Reference:
Field, A. P. (2017). Discovering Statistics Using IBM SPSS Statistics (5th ed.). Sage. [Fictional data set]
The data set was constructed by Andy Field who therefore owns the copyright. Andy Field generously agreed that we can include the data set in the jamovi data library. This data set is also publicly available on the website that accompanies Andy Field`s book, https://edge.sagepub.com/field5e. Without Andy Field`s explicit consent, this data set may not be distributed for commercial purposes, this data set may not be edited, and this data set may not be presented without acknowledging its source (i.e., the terms of a CC BY-NC-ND license).