![]() ![]() The following page contains the data file (2018-2021), along with workshop materials and assignments (geared towards the 2018 data only) that can be used with the GSS SURF to teach bivariate descriptive statistics and multivariate OLS regression in an accessible way in Excel. Please read this ‘Read Me’ file for more information on this dataset and supporting documents. The original dataset was developed by Statistics New Zealand (StatsNZ). Resourcing support was provided for the 2021 data from the Victoria University of Wellington library. Resourcing support was provided for the 2018 data from the libraries of Victoria University of Wellington, University of Auckland, Auckland University of Technology, University of Canterbury, and University of Otago. The dataset request and coordination was led by Kate Prickett and Phillip Worthington at Victoria University of Wellington. The 2018-2021 General Social Survey (GSS) Teaching Synthetic Unit Record File (SURF) is a dataset consisting of 1,997 synthetic respondents that, when variables are aggregated, produce population-level estimates for people aged 15 years and older in New Zealand in 20 similar to what would be estimated if a researcher was using the GSS microdata. Teaching quantitative methods with a New Zealand synthetic unit record dataset ![]()
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