Rationale and procedures for nesting semi-structured interviews in surveys or censuses

Area of Science:

• Demography
• Public Health Research
• Mixed-Methods Research

Background:

• Demographers often rely on survey and census data.
• Qualitative methods offer complementary insights.
• Integrating quantitative and qualitative data can strengthen research validity.

Purpose of the Study:

• To present a systematic mixed-methods model for sampling qualitative study participants from existing quantitative data.
• To outline the methodology, technical, and analytical advantages of this nested-study approach.
• To demonstrate the application of this model using case studies from Malawi and South Africa.

Main Methods:

• A model-data-linked nested studies approach is presented.
• Sampling of respondents for semi-structured interviews is conducted from survey or census lists.
• Case studies from Malawi and South Africa illustrate the nested-study design.

Main Results:

• The approach facilitates the integration of qualitative data within quantitative frameworks.
• It allows for robust comparison of samples and strengthens the validity of findings.
• Nested studies provide a broader evidence base for demographic research.

Conclusions:

• The nested-study approach offers significant advantages for demographers and qualitative researchers.
• Integrating quantitative and qualitative data enhances the depth and validity of research findings.
• This model provides a practical framework for mixed-methods research in health and demographic surveillance.