In the area of measurement, with colleagues and graduate students I have developed original scales to measure i) purposive and habitual physical activity (‘Phone-FITT’, Gill et al., J Aging Physical Act 2008;16(3):292-315), ii) willingness to join a disease-specific (joint replacement) patient registry, (Terry et al, Health Policy 2008;85(3):293-304), iii) pre-radiographic symptoms of early osteoarthritis (‘QUICKS’, Clark et al., Phys Ther, 2014;94(1):111-20), and iv) fibromyalgia prevalence (‘LFESSQ’, White et al., J Rheumatol 1999;26(4)880-4). I also i) helped validate an existing frailty scale in older surgical candidates (Dasgupta et al., Arch Gerontol Geriatr 2009;48(1)78-83, ii) evaluated the addition of experiential questions to a disease-specific quality of life scale for people living with Parkinson’s Disease (Gofton et al., J Palliat Care;2015;31(4):213-20, iii) critically evaluated the methodological history of the Alzheimer’s Disease Assessment Scale – Cognitive Subscale (Kueper et al., J Alzheimers Dis 2018;63(2):423-444) and iv) participated in a measurement consensus exercise for shared measures of mobility and cognition (Montero-Odasso et al., J Gerontol A Biol Sci Med Sci 2019;74(6):897-909. In a sample of people living in the community after receiving a psychiatric diagnosis, I applied a pooled index approach to produce a single outcome variable by combining four outcome measures (Speechley et al., Health Serv Outcomes Res Methodol 2009 9(2):133-143.) The pooled index is guaranteed to have a smaller pooled standard deviation than the source variables, increasing the signal/noise ratio, and also prevents the alpha inflation problem posed by separate hypothesis tests on multiple outcome variables.