Applied Research Methods with Hidden, Marginal and Excluded Populations

Description:

• Estimating Hard to Rech Populations
• Research hidden and margianl populations

Methods (examples) : 

• Cluster sampling; and Adaptive cluster sampling
• Capture and Recapture
• Respondent Driven Sampling RDS
• Participatory research
• Mobile data
•  

Course Objectives:  

The course aims to enable participants to undertake empirical research with marginal, hidden and excluded populations, and seeks to encourage participants to develop methodological strategies for the collection and analysis of such data. This entails using several data-gathering and analytic strategies, and knowing the ethical considerations to be taken into account.

Course Outline : 

The course provides an introduction to research methods in conducting research, both qualitative and quantitative, with marginal, hidden and excluded populations. The course introduces the main theories and research approaches on hard-to-reach and excluded populations using different frameworks and techniques.   The course will provide tools to address key issues such as the lack of known sampling frame; the difficulties in reaching the target group; the concepts of impact, attribution and contribution; and the political dimension of research findings. The course explores topics such as: estimation and sampling techniques; participatory research; evidence-based policy versus policy-based evidence; innovation, crowdsourcing and the use of technology; the art of combining qualitative and quantitative methods; and ethical considerations arising when conducting research with hidden and marginalized populations.  

Cost:

1000 GBP - 1300 GBP

Website and registration:

https://cess-nuffield.nuff.ox.ac.uk/applied-research-methods-summer-course-2022/

Region:

South East

Keywords:

Frameworks for Research and Research Designs, Data Collection, Data Quality and Data Management , Qualitative Data Handling and Data Analysis, Quantitative Data Handling and Data Analysis, Mixed Methods Data Handling and Data Analysis, Research Management and Impact, hard to reach populations , marginal populations , capture recapture , Respondent Driven Sampling

Related publications and presentations:

Frameworks for Research and Research Designs
Data Collection
Data Quality and Data Management
Qualitative Data Handling and Data Analysis
Quantitative Data Handling and Data Analysis
Mixed Methods Data Handling and Data Analysis
Research Management and Impact

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