A data.frame of 32 different balanced incomplete block designs (BIBD) that can be used to set up best-worst scaling studies. The columns are: design, which is an identification number that can is fed to get_bibd; t, which is the number of items (or "treatments") one will be using in the study; k, which is how many of the items the respondent sees per trial; r, which is how many times the participant sees each item across all of the trials; b, which is how many trials (or "blocks") there are in the design; and lambda, which indicates how many times each pair of options co-occur throughout the design. This is taken from Table 11.3 in Cochran & Cox (1957), including only the designs where t and b are both less than or equal to 20 (as any larger would put cognitive strain on a respondent).
An object of class
data.frame with 32 rows and 6 columns.
Cochran, W. G., & Cox, G. M. (1957). Balanced and partially balanced incomplete block designs. In Experimental designs (2nd ed., pp. 439–482). New York: John Wiley & Sons, Inc.
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