Predictors of trust when personal data is routinely collected: cross-sectional study

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The objective of this analysis is to determine the predictors of why individuals trust an e-mail that declares their data is being collected.

Statistical Analysis for Harinda Katugaha (PhD Bocconi University, 2022)

Analyses performed

  1. Descriptive analysis
  2. Inferential analysis
  3. Statistical models

Documents

Analytical Plan (SAP)

Statistical Analysis Report (SAR)

Associated analyses

This analysis is part of a larger project and is supported by other analyses, linked below.

Privacy concerns under data collection from different sources and purposes in the UK: cross-sectional study

https://philsf-biostat.github.io/SAR-2022-034-HK/

Relationship between perspectives of safety and privacy concerns under data collection in the UK: cross-sectional study

https://philsf-biostat.github.io/SAR-2022-037-HK/

Impact of age and knowledge of data collection practices on privacy concerns: cross-sectional study

https://philsf-biostat.github.io/SAR-2022-040-HK/