Policy capturing is regarded as a form of judgment analysis and has been applied to a variety of settings and contexts (see Cooksey, 1996; Kristof-Brown, A. L., Jansen, K. J., & Colbert, A. E. (2002).
A typical example was reported by Sherer, Schwab and Heneman (1987), in their study of how supervisors, in the setting of a private hospital, reach decisions about salary raises.
After reading information about each employee, participants then decided whether the percentage and absolute increase in salary they would recommend.
Several variables differed across applicants: the applicants, for example, had accumulated either 10 or 15 years of experience, were 35 or 35 years of age, were male or female, were African or Caucasian, had completed a BS or MBA, and were applying to be a regional sales manager or vice president of sales.
Subsequent analysis showed that factors unrelated to experience, such as age and sex, affected decisions.