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NZAVS Technical Documents
The New Zealand Attitudes and Values Study (NZAVS) is a longitudinal national probability study of social attitudes, personality and health outcomes led by Professor Chris Sibley. This page contains technical documentation for the overall NZAVS research project.
NZAVS Technical Documents and Statistical Appendices

Sibley, C. G. (2018) Sampling procedure and sample details for the New Zealand Attitudes and Values Study. NZAVS Technical Documents, e01. (23.3 MB, PDF)

Sibley, C. G. (2018). NZAVS data dictionary. NZAVS Technical Documents, e02. (13.2 MB, EXCEL)

Sibley, C. G. (2018). Geographic and area unit data available in the NZAVS. NZAVS Technical Documents, e03a. (565.8 kB, PDF)

Sibley, C. G. (2018). Geographic and area unit data available in the NZAVS. NZAVS Technical Documents, e03b. (129.7 kB, EXCEL)

Sibley, C. G., (2018). Archive of NZAVS questionnaires. NZAVS Technical Documents, e05. (6.4 MB, PDF)

Sibley, C. G. (2009-2012). Participant response timeline. NZAVS Technical Documents, e06A. (3.2 MB, X-7Z-COMPRESSED)

Huang, Y., Greaves, L. M., & Sibley, C. G., (2014). Archive of additional (non-questionnaire) materials posted to participants. NZAVS Technical Documents, e07. (3.8 MB, PDF)

Sibley, C. G. (2014). Procedures for estimating post-stratification NZAVS sample weights. NZAVS Technical Documents, e08. (269.4 kB, PDF)

Sibley, C. G., Osborne, D. O. (2014) Procedure for calculating regional Gini coefficients in the NZAVS. NZAVS Technical Documents, e09. (119.0 kB, PDF)

Huang, Y. (2014). Powerpoint template for NZAVS presentations. NZAVS Technical Documents, e10. (1.1 MB, POWERPOINT)

Milojev, P., Osborne, D., & Sibley, C. G. (2014). Default statistical standards and modelling decisions for NZAVS data analysis. NZAVS Technical Documents, e11. (124.4 kB, PDF)

McPhee, E., & Greaves, L. M. (2014). NZAVS phoning statistics and exit interview responses. NZAVS Technical Documents, e12. (20.1 kB, EXCEL)

Sibley, C. G., McPhee, E., & Greaves, L., M. (2014). Appendix of consecutive NZAVS sample frequencies and New Zealand census data. NZAVS Technical Documents, e13. (285.7 kB, EXCEL)

Sibley, C. G. (2014). Use of the New Zealand deprivation index in the NZAVS. NZAVS Technical Documents, e15. (222.1 kB, PDF)

Sibley, C. G. (2014). Sample count by meshblock area unit. NZAVS Technical Documents, e17. (2.1 MB, ZIP)

Sibley, C. G. (2014). NZAVS sample projections. NZAVS Technical Documents, e18. (297.7 kB, PDF)

Sibley, C. G., & Milojev, P. (2014). Power estimation of slope growth factors in the NZAVS using Monte Carlo simulation. NZAVS Technical Documents, e19. (1.4 MB, PDF)

Greaves, L. M. (2014). Statistical standard for coding sexual orientation. NZAVS Technical Documents, e20. (29.7 kB, EXCEL)

Muriwai, E. (2014). Sample Count and Demographics by District Health Board. NZAVS Technical Documents, e21. (75.0 kB, ZIP)

Sibley, C. G. (2014). Comparison of demographics in the NZAVS and New Zealand census. NZAVS Technical Documents, e22. (772.2 kB, PDF)

Sibley, C. G. (2015). An overview of the NZAVS - powerpoint presentation. NZAVS Technical Documents, e26. (5.5 MB, POWERPOINT)

Fraser, G. (2017). Statistical standard for coding gender identity. NZAVS Technical Documents, e27. (22.6 kB, EXCEL)

Poster by Gloria Fraser summarizing the statistical standard for coding gender identity used in the NZAVS. (4.4 MB, PDF)

Details about the economic games participants played online as part of the NZAVS. (744.1 kB, PDF)
NZAVS Methods Papers
Satherley, N., Milojev, P., Greaves, L. M., Huang, Y., Osborne, D., Bulbulia, J., & Sibley, C. G. (2015). Demographic and Psychological Predictors of Panel Attrition: Evidence from the New Zealand Attitudes and Values Study. PLoS ONE 10(3), e0121950. doi:10.1371/journal.pone.0121950.
- This paper presents an analysis of panel attrition in the NZAVS. The paper presents a logistic regression model assessing the base rate and covariates associated with four distinct classes of respondents: explicit withdrawals, lost respondents, intermittent respondents and constant respondents. Results indicate that systematic attrition in the New Zealand Attitudes and Values Study is relatively low. However, Asian peoples and those with less education are among those most likely explicitly withdraw from the study. An online version of the paper is available here.
Sibley, C. G., Robertson A., Osborne, D., *Huang, Y., *Milojev, P., *Greaves, L. M., Houkamau, C. A., Bulbulia, J., & Barlow, F. K. (in press). Bias and tracking accuracy in voting projections using the New Zealand Attitudes and Values Study. Political Science.
- This paper compared the level of bias and degree of tracking accuracy in the NZAVS and One News Colmar Brunton election polls in the lead up to the New Zealand general election (February 2014 to September 2014). Results showed that the NZAVS tracked similar changes in voter sentiment over time to those observed in the One News Colmar Brunton election polls conducted over the same time period. These results provide good support for the ability of the NZAVS to provide population estimates of political attitudes and values.
Houkamau, C. A., & Sibley, C. G. (in press). Mixed methods and the scientific study of Māori identity: The story behind the multi-dimensional model of Māori identity and cultural engagement. In Bendl, Booysen & Pringle (Eds.), Research methods on diversity management, equality and inclusion at work.
- This chapter describes the development of the Multi-dimensional Model of Māori Identity and Cultural Engagement (or MMM-ICE). This is an indigenous self-report questionnaire developed specifically to assess social identity for Māori peoples. This measure was developed by members of the New Zealand Attitudes and Values Study research group, and we include the MMM-ICE as one of our survey instruments. In this chapter we outline our general approach and research philosophy for scale development.
Greaves, L. M., Barlow, F. K., Lee, C. H. J., Matike, C. M., Wang, Q., Lindsay, C-J., Case, C. J. B., Sengupta, N. K., Huang, Y., Cowie, L. J., Stronge, S., Storey, M., De Souza, L., Manuela, S., Hammond, M. D., Milojev, P., Townrow, C. S., Muriwai, E., Satherley, N., Fraser, G., West-Newman, T., Houkamau, C., Bulbulia, J., Osborne, D., Wilson, M. S., & Sibley, C. G. (in press). The diversity and prevalence of sexual orientation self-labels in a New Zealand national sample. Archives of Sexual Behavior.
- This paper describes the development and coding scheme for the self-report measure of sexual orientation self-labels employed in the NZAVS. The measure asks participants "How would you describe your sexual orientation?" and provides an open-ended response box for participants to write the description that they feel best describes their sexual orientation. These open-ended responses are then coded using a two-level classification scheme that we outline in this paper.
Please note that this page contains technical documentation that relates to the overall NZAVS project. Supplementary material and Mplus syntax for statistical models for specific scientific publications using NZAVS data are available on the NZAVS Statistical Models page. Research reports and policy briefs using NZAVS data are available on the NZAVS reports page.