Kaupapa Indicator Survey

Surveys to Measure Kaupapa Contributions

Many of the Kaupapa Indicators require surveys to assess the benefit of the work done by Iwi and Māori organisations. The survey tool contains questions that could be used to collect data for the Kaupapa Indicators, it is available in the following formats:

two exemplar surveys which are available for download:

Social/Cultural Capital/ Tribal Well-Being Survey

An alternative or additional element to conducting a survey to evaluate performance against the kaupapa Indicators would be to conduct a ‘social and cultural capital/tribal well being’ survey on a regular basis. The types of things that are typically evaluated in ‘social/cultural capital survey’ are closely related to the Kaupapa Indicators, but the scope is broader. For example, social capital surveys typically explore community members

  • Self confidence
  • Attitudes and outlook on life, for example:
    • Satisfaction/pleasure and enjoyment
    • Community cohesion and identity
    • Reduced feeling of isolation
    • Optimism and energy
    • Sense of control
    • Aesthetic – what people value
  • Skills and Knowledge, including the extent to which people feel as though they have the skills and knowledge they need to be in control of their lives and gain meaning from them
  • Networks and connections, including the sense of support gained from community membership, safety, trust within the community and the like

Survey Sample Size

The number of people surveyed will depend on; the number of tribal members and the margin of error that the organisation is prepared to accept. For most Iwi, a survey sample size of between 500-600 people should generate results that are robust and relevant, if the organisation is willing to accept a margin of error of 4 (note on margin of error below). The table below presents some sample sizes for comparison. Please note, these sample sizes were generated with an online survey tool and anyone seeking to rely on them should confirm the reliability of the sample size.

Population Margin of Error: 4 Margin of Error: 3 Margin of Error: 2
130,000 597 1058 2357
80,000 596 1053 2331
70,000 595 1051 2321
60,000 594 1048 2309
50,000 593 1045 2291
40,000 591 1039 2265
30,000 588 1030 2223
20,000 583 1013 2144
15,000 577 996 2070
10,000 566 964 1936
5,000 536 880 1622
2,000 462 696 1091

Margin of error is the plus or minus figure for the results (typically reported in respect of political polling). For example, a margin of error of 4 would mean that if 47% percent of your sample picks an answer you can be “sure” that if you had asked the question of the entire relevant population between 43% (47-4) and 51% (47+4) would have picked that answer.


Surveys are inevitably time intensive. It may be possible to make it more realistic for an organisation with limited resources by considering the following:

  • Online surveys – there are free open source platforms where you can build a survey and have the responses automatically collated. One of the most widely accessed is Survey Monkey, which can create free, basic online surveys.
  • Intern and student support – data from non-online surveys could be compiled by students or interns on casual contracts
  • Partnerships – it could be worth exploring whether a school or tertiary institution could administer or analyse the survey as part of their work.

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