Q methodology: create Q normal distribution
Creates a distribution close to a standard normal distribution given a number of statements and a maximum Q sort rank.
make.distribution( nstat, max.bin = 5 )
nstat |
Number of desired statements in a Q sample for a given study. Must be a positive integer, vector of length 1. |
max.bin |
Maximum positive value to be entered by participants.
Must be a positive integer, vector of length 1.
Defaults to frequent value |
Participants in Q studies are frequently asked to sort Q items under a quasi-normal distribution.
This function generates such a Q distribution, given a number of statements nstat and a desired maximum positive value max.bin in the Q distribution.
The function always returns an uneven number of columns, ensuring that there is always a modal column at the zero mark.
Not every combination of nstat and max.bin can be neatly fit under a standard normal distribution, in which case the function returns a vector of unequal length to the specified nstat.
The function will issue a warning in that case.
Researchers can either accept the different nstat, or try again with a different max.bin.
Returns a vector of positive integers (column heights), of the length max.column * 2 + 1.
An object of this kind is expected in import.q.sorts, build.q.set and other convenience functions.
Maximilian Held
## Make Q distribution make.distribution(nstat=76, max.bin=7)
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