COMPASS projects

We have four points to our research. Click the headings for more information on each.









We administer the annual
International Social Survey Programme
for New Zealand and the New Zealand
Election Study every three years.


We use longitudinal data
and other sources to model
population changes over time,
and to test the effect of 'what-if'
scenarios within the population.


Whole Population Data Analysis

We use census data through
Statistics New Zealand's
remote access datalab, to examine
changes in the population over time.








Research Methods Training

We run short courses each year in
social science research methods, and
teach research methods at the University,
in both politics and social work.


Developing a knowledge laboratory of the early life-course using systematic reviews and meta analyses
The development of a microsimulation model and associated computer software allowing users (policymakers, planners, analysts) to easily run simulations and view the results.

New Zealand as a social laboratory
Using existing data to create a dynamic representation of New Zealand society in which virtual experiments on matters of policy and substantive interest can be conducted

A Modelling Tool to Improve the Policy Response on Issues Concerning Children and Young People
A computer-based prototype simulation model as a decision-support tool for policy-making in the early life course.

Homogamy in New Zealand?
Investigating patterns in family/whanau formation, social interaction and social stratification.

The Balance of Care in an Ageing Society (BCASO)
Modelling and quantifying a range of policy scenarios on the future shape of the health sector.

Primary care in an ageing society: a modelling approach (PCASO)
A computer-based model of the primary care system in New Zealand in its social context testing propositions about its functioning and development under different scenarios of demographic ageing.

Modelling residential segregation: an empirical and simulation-based study
Using computer simulation as a new methodological approach to modelling residential segregation and measuring the variables of interest.

Modelling social change in New Zealand: Social Simulation Applied to a Census 'test-bed' (MoSC)
Computer-based simulation techniques applied to census data on cohabitation to test a model of New Zealand’s social structure in the period 1981–2001.


Whole Population Data Analysis

Life-course predictors of mortality inequalities
Assessing life-course socioeconomic influences on mortality, using mortality records linked to the New Zealand Longitudinal Census.

Social change, inequality, and the early life course
A collaboration with Te Pūnaha Matatini, Centre for Complex Systems and Networks, developing methods and approaches for transforming complex data about New Zealand’s environment, economy, and society into knowledge, tools, and insights for making better decisions.

New Zealand Socioeconomic Status (NZSEI)
An ongoing series of updates to this occupation-based measure of socioeconomic status in New Zealand, and updated after each census to reflect distributions within occupation groups.

Informing tribal activity and investment through scientific reporting
A 2-year project with Te Rūnanga o Ngāi Tahu, funded by the Ministry of Business, Innovation and Employment’s Vision Mātauranga Capability Fund.

Improving Health Systems Performance: Enhancing Hospital Outcomes
Assessment of the performance of the hospital sector through progressive waves of structural, professional and managerial change.

Changing Pacific household composition and wellbeing, 1981 to 2006
An analysis of changes in Pacific families and Pacific household composition over a 25 year period.

Generating synthetic data sets using non-confidential published tables and confidentialised unit record data sets
Investigation of methods for creating large synthetic data sets using both publicly available published tables and confidentialised microdata.

Family Whānau and Wellbeing Project (FWWP)
Development of ways to examine and monitor the social and economic determinants of family and whānau wellbeing and how these changed over the 1981 to 2006 period.