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WIPNZ2011: World Internet Project New Zealand

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posted on 2015-09-30, 04:13 authored by Allan Bell, Charles Crothers, Philippa Smith

From 2007, the Institute of Culture, Discourse and Communication (ICDC) at AUT University is conducting a long-term survey to track trends in Internet use, and to document the role and impact of the Internet in New Zealand society. The Internet has changed how business and trade deals are made; how schools and other academic institutions, councils, media and advertisers operate. The Internet also impacts on family interaction, the ways in which people form new friendships, and the communities to which people belong.

The World Internet Project New Zealand is an extensive research project that aims to provide important information about the social, cultural, political and economic influence of the Internet and related digital technologies. As part of the World Internet Project, an international collaborative research effort, WIP NZ enables valid and rigorous comparison between New Zealand and 30 other countries around the world. Each partner country in WIP shares a set of 30 common questions.

ICDC’s longitudinal survey includes a cross-section of participants aged 12 and up across New Zealand. A quota ensures that people of Māori, Pasifika and Asian descent, and the range of age-groups, are not underrepresented. The survey investigates Internet access and targets Internet users as well as non-users; who uses this technology and what they do online. It also considers offline activities such as how much time is spent with friends and family. Other questions address issues such as the effects of the Internet on language use and cultural development; the role of the Internet in accessing information or purchasing products; and how the Internet affects the educational and social development of New Zealand children. In addition to studying the impact of the Internet, the survey tracks the effectiveness of strategies to address issues such as the digital divide between rich and poor; urban and rural.

Universe: People 12 years and over with a landline phone.

Data Collection: Phoenix Research Ltd.

Sampling: The sample design involved the following strata:

  1. Recontact of those in the 2009 (and earlier) samples who had indicated that they were prepared to consider answering a further wave of the WIP study. Of these, those who had provided an email address in a previous sample were invited to complete the survey online; the remainder were contacted using CATI telephone interviewing.
  2. A fresh CATI telephone sample drawn to provide adequate coverage (in conjunction with the recontact and online components) of the New Zealand population
    1. Fresh simple random sample of phone numbers.
    2. Three further simple random targeted booster samples of phone numbers within mesh blocks known to have:
      1. >30% Māori people;
      2. >30% Pasifika people;
      3. >30% Asian people.

The sampling frames for the CATI telephone fresh simple random sample and the three targeted booster samples were calculated by using 2006 census data on the number of households with access to a telephone (using a database of phone numbers purchased from Yellow Ltd.). This sampling strategy incorporates over-sampling of Māori, Pasifika and Asian people (often under-represented populations) to ensure adequate numbers of respondents in these cells.

Representative coverage of geographic areas and gender was ensured by the setting of quota based on census data.

Exclusions: non-users of the internet without landlines; non-English speakers; those refusing.

Mode: Telephone interview.

Weighting: The combined database was weighted taking into account the survey design, incorporating probabilities of selection for each cell in the sample design, and to correct for departures from Statistics New Zealand estimated proportions on several important parameters: age (grouped); gender; and ethnicity. Where available the most recent estimates were used. The final weights were scaled to match the sample size. For weighting purposes, ethnicity was coded in such a way as to match census data, which allows for multiple ethnicities to be reported by an individual.


National Library of New Zealand; Internet NZ; AUT University


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