Traditionally the use of questionnaire data has been popular in measuring bias and or stereotypes but and there are many well-documented questionnaires in an extensive array of human bias areas that are readily accessible, however, due to the limitations of self-report data (e.g., unreliability of introspective data, social desirability confounds) a range of implicit measures have been developed in which participants behaviour is deemed to indicate bias. Implicit bias tests are usually time-based and, briefly, if participants respond faster to affirm, for example, thin-intelligent versus fat-intelligent this is deemed a demonstration of pro-thin bias. Bias or stereotype is deemed "implicit" in the participant's behavioural response (measured via response latencies compared for affirmation of biased versus nonbiased responding) rather than participants' report of their own bias or lack of same. The most well-known of these implicit measures is the Implicit Association Test/ (IAT; check out Project Implicit, Brian Nosek's webpage in particular is v. informative). The Implicit Relational Asessement Procedure/IRAP is a similar computerised test programme that was developed by Dermot Barnes-Holmes as a behavioural (rather than associationist) measure of implicit bias; this has been used in a variety of areas, i have used it myself to research areas such as pro-thin bias, pro-beauty bias, gender bias, ageist bias et cetera. Your can make further enquiries about the IRAP by contacting Prof. Barnes-Holmes at Ghent University. I hope this information has been helpful.