AERC Hosts: A/Prof Kane Meissel 'An overview of the ‘Our Voices’ study'

Image for AERC Hosts: A/Prof Kane Meissel 'An overview of the ‘Our Voices’ study'

Share via

More Information

AERC

AERC-info@unimelb.edu.au

  • Event

An innovative transdisciplinary multimodal study of wellbeing of ~1000 13-year-olds

Abstract: In Aotearoa New Zealand, research exploring child and youth wellbeing is often restricted to measures that are derived from deficit-based, adult-centric, unidimensional (or narrow) data and that lack a te ao Māori (Māori world) perspective. Working alongside young people in the Growing Up in New Zealand, the ‘Our Voices’ project sought to address some of the limitations of current wellbeing measures, by co-designing a new digital platform to collect young people’s qualitative views of wellbeing. The result was the development of Tō Mātou Rerenga – the Our Journey app, and the collection of large-scale, multi-modal qualitative data. This talk will provide an overview of the development of this project, some preliminary findings from the different modes of analysis utilised (e.g., machine learning, as well as conventional qualitative and quantitative analyses), as well as some of the methodological insights related to this approach to data collection and methods of data analysis. Findings to date cover a range of topics including social connectedness, school experiences, drivers of attendance and so on.

RSVP: AERC-info@unimelb.edu.au

Time12:30-1:30 pm AEST
DateThursday, 3 July 2025
Location

Faculty of Education, Level 9 Conference Room (915), 100 Leicester Street, Carlton Victoria 3053

(or join via Zoom https://go.unimelb.edu.au/qr6p Password: 188289)

Bio:

Dr. Kane Meissel is an Associate Professor of Educational Psychology at Waipapa Taumata Rau, the University of Auckland. His research focuses on enhancing educational experiences across the lifespan, drawing on nuanced methods that reflect the complexities of educational systems.

He is particularly interested in how researchers' methodological decisions – such as measurement techniques and analysis methods – affect conclusions, and how quantitative methods can be leveraged to support system improvements in a nuanced and strengths-based manner.