Traditionally, psychology has tended to find a voice as a science by providing findings from large-scale studies. Psychology as a therapeutic discipline, instead, has tended to find its voice by informing us of the lived experiences of individuals. A PhD study in the School of Applied Psychology has merged the need for robust data to underpin the measured changes experienced by individuals (one person) over time. How do we stand over measures of an individual in the same way that we would measure many individuals on aggregate? Normally, statistical techniques are used to assist in inferring findings from large-scale sample studies to the larger population from which they originate. In addition, statistical techniques provide measures which account for chance factors in research design. How can N=1 samples provide us with robust data in the same way that N=1000 samples can? Emma Hurley has investigated this very question in her PhD research under the supervision of Dr Raegan Murphy. Her PhD is embedded within the broader area of dynamic assessment.