°ÄÃÅÀúÊ·¿ª½±¼Ç¼

XClose

Department of Political Science

Home
Menu

Memta Jagtiani

Memta is outside wearing a white blazer and red lipstick, smiling into the camera
Associate Lecturer (Teaching) in Quantitative Research Methods
Email:Ìýmemta.jagtiani.15@ucl.ac.uk

Ìý

Biography

Hailing from Singapore, I committed myself to pursuing a PhD in Social Media and Mental Health °ÄÃÅÀúÊ·¿ª½±¼Ç¼, employing data science methodologies. I obtained a First Class Honours in BSc Population Health °ÄÃÅÀúÊ·¿ª½±¼Ç¼ and was also aÌýFaculty Medal Winner and Best Dissertation Award Winner.

I have more than eightÌýyearsÌýof experience in statistical data analysis, data mining, statistical modelling (including causal inference methods), programming languages (R and STATA) and data visualisations. I am skilled at teaching data analysis in R and STATA at undergraduate and postgraduate levels.

Outside of academia, I am a certified Digital Wellness Educator from the Digital Wellness Institute in the USA. I am also a passionate Latin dancer. My team clinched third place in Advanced Bachata in the National Latin Dance Competition in 2022. Lastly, I am enthusiastic about global volunteering for children and have taught English to young students in rural Thailand.

Research

I recently completed my PhD titled ‘#StateOfMind: The Relationship between Social Media Use, Gender, and Family Life, with Mental Health and Well-being –ÌýLongitudinal Evidence from Young People in the UK and South Korea’.

My research examined the associations between social media use, self-esteemÌýand depression among young people, and how gender and family factors such as family structure, parent-child relationship quality and parenting styles influence these associations. I utilised panel and longitudinal data containing 7,412 and 2,251 young people from the UK Household Longitudinal Study and Korean Children and Youth Panel Study, respectively. I applied comprehensive analytical techniques such as hierarchical linear modelling, data visualisation, multiple imputation and dataset harmonisation, and accounted for complex survey designs in STATA. I have presented my research at annual conferences for the Society for Longitudinal and Lifecourse Studies and theÌýBritish Society for Population Studies in 2021.

Publications

Journal articles
  • Jagtiani, M. R., Kelly, Y., Fancourt, D., Shelton, N. andÌýScholes, S. (2019)Ìý‘’,ÌýCyberPsychology, Behavior, and Social Networking, 22(12), pp. 753–760.
Blog articles
  • Jagtiani, M. R. (2018) ‘’, Royal Society for Public Health.

Teaching

Within the Department of Political Science, I teach onÌýthe modules ‘Quantitative Research Methods in R’ (undergradiate and postgraduate) and ‘Data Analysis in R’ (undergraduate). I am also a first marker for ‘Quantitative Research Methods in R’ (postgraduate).

I also teach in theÌýUCL Department of Epidemiology and Public Health, where I have taught on theÌýmodules ‘Basic Statistics for Medical Sciences in STATA’,Ìý‘Research Methods in Population Health’ and ‘Epidemiological Transition’.

I also offer private tuition where I teach coding, data analysis and data management skills to a variety of undergraduate and postgraduate students undertaking various projects.