What Is Q-Methodology?

Q-Methodology is a well-established, scientifically-validated survey technique that assesses opinions, attitudes, and preferences. It presents subjects with a series of statements that the subjects rank according to the degree to which they agree or disagree. Sophisticated factor analysis then reveals and quantifies underlying viewpoints held by the subjects.

Q-Methodology’s impact to date has been somewhat limited by the logistic challenges involved in performing Q studies — which have traditionally required personal interviews — and to the confusing complexity of the analytic calculations.

Q-Assessor was created on the belief that Q-Methodology’s reach could become vastly greater once its logistical problems were successfully solved — which Q-Assessor has managed to do.

How Does Q-Assessor Work?

Q-Assessor automates the entire life-cycle of Q-Methodology research through a simple, easy-to-use Internet application that manages:

Several other online Q-sort systems exist, but here’s what makes Q-Assessor uniquely transformative:

  • Q-Assessor’s robust subject enrollment/management tools
  • Q-Assessor’s real-time, interactive data analysis tools
  • Q-Assessor’s integration of the entire Q process seamlessly into a very easy-to-use service

Furthermore, Q-Assessor is the only online implementation of Q-Methodology that has been validated against the traditional in-person technique. Download the validation paper published in Operant Subjectivity.

Q-Assessor solves Q-Methodology’s logistic and conceptual points of friction and enables Q to attain its true potential.

Q-Assessor is currently in a limited beta-phase while it undergoes testing and further development. We are working with a select group of investigators who are providing us with crucial feedback to help us refine our system. Other interested parties can sign-up and perform a full Q-Assessor study as well.

Read through our extensive documentation, register at our site, and give Q-Assessor a try! Or start by taking a test run through a sample Q-Assessor Q-Sort.