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Personal statement example
At five o'clock on a Tuesday morning I am usually standing in a pharmacy storeroom, matching a delivery against a printed log. My job as a stock controller for a chain of community pharmacies runs on rotating shifts, and over three years I have noticed how differently my colleagues cope with them. Some arrive at dawn shifts cheerful; others, by their own account, feel foggy for days after a rotation changes. That ordinary workplace variation is close to the question that has shaped my academic interests: how disrupted sleep timing relates to mood, and how we can measure that relationship carefully enough to say something useful.
My honours project took a first step. I surveyed undergraduate students who also held part-time jobs with evening or night hours, asking about their typical sleep and wake times on work and free days, alongside a standard self-report measure of low mood. I drew on the idea of social jetlag, the mismatch between the sleep schedule people keep on obligated days and the one they keep when free, and calculated it from midpoints of sleep. I recruited through student society mailing lists and ended with a modest sample, which taught me a great deal about the gap between a planned analysis and the data that actually arrive. Several responses reported implausible sleep durations, and I had to decide, and justify in writing, rules for excluding them before looking at the outcome variable. My supervisor pushed me to report the correlations I found as associations within a convenience sample, not as evidence that irregular schedules cause low mood. Learning to write that limitation section honestly was one of the most valuable parts of the year.
The project also showed me what I do not yet know. Self-reported sleep times are rough estimates, and a single survey cannot show whether mood worsens after a schedule shift or whether people who already feel low drift towards later, irregular sleep. I would like postgraduate training that develops my skills in longitudinal and repeated-measures designs, such as daily diary methods, and in the statistical approaches needed to analyse nested data. I am comfortable in R for regression and basic data cleaning, and I have started working through introductory material on mixed-effects models in my own time, but I want structured teaching and critical feedback rather than piecing it together alone.
My work has given me habits that suit research. Stock control is unglamorous, but it depends on noticing small discrepancies and tracing them to a cause rather than guessing. When our branch's records repeatedly showed missing items, I compared shift handover sheets over several weeks and found the errors clustered on one changeover, which led to a simple change in how we counted. I am not claiming this was science, but it reinforced my preference for checking records before accepting an explanation.
Outside work I coach an under-twelve netball team on Sunday mornings. Coaching is mostly about patience, clear instructions and keeping twelve children's attention through a cold warm-up, yet it has made me a better communicator. Explaining a defensive rule three different ways until it lands is not far from explaining a research finding to participants or a non-specialist audience, and I enjoy both.
For a dissertation, I hope to examine sleep timing and mood among shift workers using a design that follows people across a rotation, perhaps combining brief daily mood ratings with sleep diaries. I am open to refining that idea substantially with supervision, and I expect my question to change once I engage more deeply with the literature. What I can bring is persistence, practical experience of shift work from the inside, a careful approach to data and a willingness to state the limits of what I find. I am ready to commit to the demands of postgraduate research and to grow into a more rigorous researcher.