How do you reduce measurement bias in your assessment?

Human eSources makes significant efforts to minimize testing bias (i.e. results skewed in a direction because assessment items favor certain demographics). We have taken steps to ensure the validity of our assessment measures and have published statistical analyses on our assessments.

As an example, for personality type, we look at trends in the data for each of the assessment items to make sure the response rates are stable and match norms established by MBTI. Ultimately, all assessments have some level of measurement bias (i.e., some results occur more often for certain demographics than others). We aim to minimize this bias through our assessment items and our approach to using the assessment results. Making biased decisions based on results is explicitly prescribed against by our materials and training. We take the position that all type results have equal value, no type is "better" than any other type. For personality type, results are presented on a continuum to show the degree to which responses are similar to certain types. This is intended to acknowledge that humans fall on a spectrum and may have many or fewer aspects of personality that align with a specific type. Using this approach allows individuals to understand how they may be similar and different to others, while acknowledging human behavior is complex and not always easily categorized in a dichotomy.