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Biological research-biosocial research framework

Presenter(s): Tarani Chandola


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This presentation will cover the need for a biosocial research framework, some of the data quality considerations researchers should keep in mind when they're doing biosocial research and some of the missing data implications in biosocial research.

Biological Research: Biosocial Research Framework

In this first part, I talk about why we need to have a biosocial research framework and introduce what is biosocial research.



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Biological Research: Biological Data Quality Issues

The second part of this talk is about some of the data quality issues researchers should keep in mind when they are analysing biosocial data. I'll be talking about two kinds of issues in particular. One is about the mode or collection condition whether that's important and whether that should be taken to account when analysing biomarkers.



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Biological Research:Missing biological data

The final topic I want to talk about in this series of presentations on methodological considerations when doing biosocial research is about missing data and that's because missing data is a huge problem with a lot of biosocial datasets there are substantial proportions of missing biological data and there are a number of processes that can generate these missing biological data in surveys



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Supporting materials

About the author

Tarani Chandola is a Professor of Medical Sociology, in the Social Statistics Disciplinary Area of the School of Social Sciences, University of Manchester. His research interests are include work and health, biomarkers of stress, longitudinal cohort studies, social determinants of health, health inequalities and psychosocial factors.

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