A Statistical Approach to Provide Individualized Privacy for Surveys

Area of Science:

• Social Sciences
• Data Collection Methodology
• Information Privacy

Background:

• Current data collection instruments often use a uniform privacy approach.
• This uniform method fails to account for the subjective nature of privacy and data sensitivity.
• Respondents have varying comfort levels regarding the disclosure of sensitive information.

Purpose of the Study:

• To propose a new instrument for collecting sensitive data.
• To allow participants to customize the amount of information they reveal.
• To balance participant privacy with the need for data analysis.

Main Methods:

• Development of a novel data collection instrument.
• Implementation of a participant-driven information disclosure mechanism.
• Application of established inferential procedures for data analysis.

Main Results:

• The proposed instrument empowers participants to control their data disclosure.
• The method accommodates intermediate levels of privacy beyond total disclosure or non-disclosure.
• The approach facilitates the discovery of findings from sensitive data.

Conclusions:

• The developed instrument offers a flexible and participant-centered approach to sensitive data collection.
• Customizable privacy settings enhance respondent comfort without compromising analytical integrity.
• This methodology represents an advancement in ethical and effective data gathering.