Pandemic Perspectives

2 Submissions analysis and methodology Tāpiritanga 2: Te tātari me ngā tukanga

Pandemic Perspectives

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Appendix 2: Submissions analysis and methodology

Tāpiritanga 2: Te tātari me ngā tukanga

Analysts employed a two-step coding process to capture public submissions sentiment on themes and topics of interest to the Commission. Step one is outlined below, and Step two after.

Step one | Kaupae tuatahi

Coding of every submission to themes

Every submission was read and sorted (coded) into the themes and topics it addressed. Each submission, either in its entirety or in sections, was coded to general sentiment, perspective, and themes as shown below in the left column, and, where opinions were positive or negative, to the relevant theme in the right-hand columns.

General sentiment
(entire submission coded)

1. Broadly supportive of Government response
2. Broadly critical of the Government response
3. Mixed opinion on the Government response

Perspective

1. First-hand account – 'it happened to me or my dependent'
2. Second hand – 'it happened to a relative or friend'
3. Third hand – 'I've heard it happened' or 'it happened to someone'

Main themes
(relevant sections coded)

Positive

1. Lockdowns
2. Vaccine mandates
3. Vaccine safety/harm
4. Vaccine approval/rollout
5. Other public health tools
6. General, or overall response

Negative
1. Lockdowns
2. Vaccine mandates
3. Vaccine safety/harm
4. Vaccine approval/rollout
5. Other public health tools
6. General, or overall response

Cross-cutting themes
(relevant sections coded)

Positive
1. Communication and information
2. Māori, iwi, and Pacific perspectives

Negative
1. Communication and information
2. Misinformation hampered the response
3. Evidence of non-mainstream thinking
4. Social division and mistrust
5. Māori, iwi, and Pacific perspectives

Suggestions
(relevant sections coded)

1. Lockdowns
2. Vaccine mandates
3. Vaccine safety/harm
4. Vaccine approval/rollout
5. Other public health tools
6. General, or overall response
7. Other suggestions (including those from cross-cutting themes)

Step two |  Kaupae tuarua

Coding to understand rationale for opinions
Comments in each theme were looked at in greater detail and 'coded out' into topics and sub-topics. Examples are shown below of the types of topics that arose in submissions for one positive and one negative main theme, and for one positive and one negative cross-cutting theme. These form the heading structure of the report. In some cases, topics were further coded out into sub-topics.

 

Main themes

Positive
1. Lockdowns
2. Vaccine mandates
3. Vaccine safety/harm
4. Vaccine approval/rollout
5. Other public health tools
6. General, or overall response

  • P1.1 General support for lockdowns
  • P1.2 Lockdown rationale and implementation clear
  • P1.3 Living in lockdown
  • P1.4 Good access to health or other care in lockdown
  • P1.5 Education access and support in lockdown was good

Negative
1. Lockdowns
2. Vaccine mandates
3. Vaccine safety/harm
4. Vaccine approval/rollout
5. Other public health tools
6. General, or overall response

  • N2.1 Mandates damaged social cohesion and wellbeing
  • N2.2 Broad opposition to vaccine mandate
  • N2.3 Employment, business and economy were negatively impacted
  • N2.4 Concerns about how mandates were implemented, incl. exemptions
  • N2.5 Parliament protestors had legitimate concerns
Cross-cutting themes

Positive
1. Communication and information
2. Impact of misinformation
3. Other aspects

  • CC P1.1 Good, clear, or informative communications
  • CC P1.2 Leaders communicated well or effectively
  • CC P1.3 Expert, evidence-based information was shared
  • CC P1.4 Communication was good, but for a small aspect
  • CC P1.5 Text alerts, advertising, signage was useful

Negative
1. Communication and information
2. Loss of institutional trust
3. Involvement of unilateral bodies in response
4. Other aspects

  • CC N1.1 Govt. used media comms to spread fear, propaganda
  • CC N1.2 Alternative views suppressed, incl. those of Drs
  • CC N1.3 Reporting of COVID-19 cases, deaths were misleading
  • CC N1.4 Scientific information was selective, modelling wrong
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