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A Close Look at the Nomology of Support for National Smoking Bans amongst Hospitality Industry Managers: An application of Growth Mixture Modeling

2007 doctoral thesis by Nigel Raymond Guenole at University of Canterbury
Place doctoral_thesis Q112870205
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A Close Look at the Nomology of Support for National Smoking Bans amongst Hospitality Industry Managers: An application of Growth Mixture Modeling

Summary

A Close Look at the Nomology of Support for National Smoking Bans amongst Hospitality Industry Managers: An application of Growth Mixture Modeling is a doctoral thesis[1].

Key Facts

  • A Close Look at the Nomology of Support for National Smoking Bans amongst Hospitality Industry Managers: An application of Growth Mixture Modeling authored An application of Growth Mixture Modeling — author (P50): Nigel Guenole[2].
  • A Close Look at the Nomology of Support for National Smoking Bans amongst Hospitality Industry Managers: An application of Growth Mixture Modeling's instance of is recorded as An application of Growth Mixture Modeling — instance of (P31): doctoral thesis[3].
  • A Close Look at the Nomology of Support for National Smoking Bans amongst Hospitality Industry Managers: An application of Growth Mixture Modeling's publisher is recorded as An application of Growth Mixture Modeling — publisher (P123): UC Research Repository[4].
  • A Close Look at the Nomology of Support for National Smoking Bans amongst Hospitality Industry Managers: An application of Growth Mixture Modeling's DOI is recorded as 10.26021/9218[5].
  • A Close Look at the Nomology of Support for National Smoking Bans amongst Hospitality Industry Managers: An application of Growth Mixture Modeling's language of work or name is recorded as An application of Growth Mixture Modeling — language of work or name (P407): English[6].
  • A Close Look at the Nomology of Support for National Smoking Bans amongst Hospitality Industry Managers: An application of Growth Mixture Modeling's country of origin is recorded as An application of Growth Mixture Modeling — country of origin (P495): New Zealand[7].
  • A Close Look at the Nomology of Support for National Smoking Bans amongst Hospitality Industry Managers: An application of Growth Mixture Modeling's publication date is recorded as +2007-00-00T00:00:00Z[8].
  • A Close Look at the Nomology of Support for National Smoking Bans amongst Hospitality Industry Managers: An application of Growth Mixture Modeling's main subject is recorded as An application of Growth Mixture Modeling — main subject (P921): New Zealand[9].
  • A Close Look at the Nomology of Support for National Smoking Bans amongst Hospitality Industry Managers: An application of Growth Mixture Modeling's main subject is recorded as An application of Growth Mixture Modeling — main subject (P921): justice[10].
  • A Close Look at the Nomology of Support for National Smoking Bans amongst Hospitality Industry Managers: An application of Growth Mixture Modeling's main subject is recorded as An application of Growth Mixture Modeling — main subject (P921): attitude[11].
  • A Close Look at the Nomology of Support for National Smoking Bans amongst Hospitality Industry Managers: An application of Growth Mixture Modeling's work available at URL is recorded as https://ir.canterbury.ac.nz/handle/10092/1498[12].
  • A Close Look at the Nomology of Support for National Smoking Bans amongst Hospitality Industry Managers: An application of Growth Mixture Modeling's Handle ID is recorded as 10092/1498[13].
  • A Close Look at the Nomology of Support for National Smoking Bans amongst Hospitality Industry Managers: An application of Growth Mixture Modeling's title is recorded as A Close Look at the Nomology of Support for National Smoking Bans amongst Hospitality Industry Managers: An application of Growth Mixture Modeling[14].
  • A Close Look at the Nomology of Support for National Smoking Bans amongst Hospitality Industry Managers: An application of Growth Mixture Modeling's copyright holder is recorded as An application of Growth Mixture Modeling — copyright holder (P3931): Nigel Guenole[15].
  • A Close Look at the Nomology of Support for National Smoking Bans amongst Hospitality Industry Managers: An application of Growth Mixture Modeling's thesis submitted to is recorded as An application of Growth Mixture Modeling — thesis submitted to (P4101): University of Canterbury[16].
  • A Close Look at the Nomology of Support for National Smoking Bans amongst Hospitality Industry Managers: An application of Growth Mixture Modeling's on focus list of Wikimedia project is recorded as An application of Growth Mixture Modeling — on focus list of Wikimedia project (P5008): NZThesisProject[17].
  • A Close Look at the Nomology of Support for National Smoking Bans amongst Hospitality Industry Managers: An application of Growth Mixture Modeling's copyright status is recorded as An application of Growth Mixture Modeling — copyright status (P6216): copyrighted[18].
  • A Close Look at the Nomology of Support for National Smoking Bans amongst Hospitality Industry Managers: An application of Growth Mixture Modeling's online access status is recorded as An application of Growth Mixture Modeling — online access status (P6954): open access[19].
  • A Close Look at the Nomology of Support for National Smoking Bans amongst Hospitality Industry Managers: An application of Growth Mixture Modeling's thesis committee member is recorded as An application of Growth Mixture Modeling — thesis committee member (P9161): Olexander S Chernyshenko[20].
  • A Close Look at the Nomology of Support for National Smoking Bans amongst Hospitality Industry Managers: An application of Growth Mixture Modeling's thesis committee member is recorded as An application of Growth Mixture Modeling — thesis committee member (P9161): Simon Kemp[21].

Body

Designation and Status

A Close Look at the Nomology of Support for National Smoking Bans amongst Hospitality Industry Managers: An application of Growth Mixture Modeling's instance of is recorded as An application of Growth Mixture Modeling — instance of (P31): doctoral thesis[3].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [3] ↑ . wikidata.org.
  2. [2] ↑ . hdl.handle.net. hdl.handle.net. Provenance: wikidata.org.
  3. [4] ↑ . wikidata.org.
  4. [5] ↑ . wikidata.org.
  5. [6] ↑ . wikidata.org.
  6. [7] ↑ . wikidata.org.
  7. [8] ↑ . wikidata.org.
  8. [9] ↑ . wikidata.org.
  9. [10] ↑ . hdl.handle.net. hdl.handle.net. Provenance: wikidata.org.
  10. [11] ↑ . hdl.handle.net. hdl.handle.net. Provenance: wikidata.org.
  11. [12] ↑ . wikidata.org.
  12. [13] ↑ . wikidata.org.
  13. [14] ↑ . wikidata.org.
  14. [15] ↑ . wikidata.org.
  15. [16] ↑ . wikidata.org.
  16. [17] ↑ . wikidata.org.
  17. [18] ↑ . wikidata.org.
  18. [19] ↑ . wikidata.org.
  19. [20] ↑ . wikidata.org.
  20. [21] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). A Close Look at the Nomology of Support for National Smoking Bans amongst Hospitality Industry Managers: An application of Growth Mixture Modeling. Retrieved May 3, 2026, from https://4ort.xyz/entity/a-close-look-at-the-nomology-of-support-for-national-smoking-bans-amongst-hospitality-industry-managers-an-application-of-growth-mixture-modeling
MLA “A Close Look at the Nomology of Support for National Smoking Bans amongst Hospitality Industry Managers: An application of Growth Mixture Modeling.” 4ort.xyz Knowledge Graph, 4ort.xyz, 3 May. 2026, https://4ort.xyz/entity/a-close-look-at-the-nomology-of-support-for-national-smoking-bans-amongst-hospitality-industry-managers-an-application-of-growth-mixture-modeling.
BibTeX @misc{4ortxyz_a-close-look-at-the-nomology-of-support-for-national-smoking-bans-amongst-hospitality-industry-managers-an-application-of-growth-mixture-modeling_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Close Look at the Nomology of Support for National Smoking Bans amongst Hospitality Industry Managers: An application of Growth Mixture Modeling}}, year = {2026}, url = {https://4ort.xyz/entity/a-close-look-at-the-nomology-of-support-for-national-smoking-bans-amongst-hospitality-industry-managers-an-application-of-growth-mixture-modeling}, note = {Accessed: 2026-05-03}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A Close Look at the Nomology of Support for National Smoking Bans amongst Hospitality Industry Managers: An application of Growth Mixture Modeling — https://4ort.xyz/entity/a-close-look-at-the-nomology-of-support-for-national-smoking-bans-amongst-hospitality-industry-managers-an-application-of-growth-mixture-modeling (retrieved 2026-05-03)

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