Applied Research Methods with Hidden, Marginal and Excluded Populations

Description:

Course Outline   The course provides an introduction to research methods in conducting research, both qualitative and quantitative, with marginal, hidden and excluded populations, with a specific focus on equity related research. 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.  

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.

Methods and Issues to be addressed

• Cluster sampling; Adaptive cluster sampling 
• Time location sampling 
• Multiple Source Estimate - Capture and recapture 
• Respondent Driven Sampling RDS (intro) 
• Social network analysis applied to hard-to-reach populations
• Particiaptory Research 
• Innovation and the use of technology: SMS, crowd sourcing and mapping
• Research Ethics

Cost:

Non- Academic : GBP 1,400
Acadmic: GBP 1,050

Website and registration:

https://www.essex.ac.uk/summerschool/pages/courses/session2/2r.html

Region:

Greater London

Keywords:

Frameworks for Research and Research Designs, Evaluation Research, Case Study, Participatory Research, Behavioural Research, Secondary Analysis, Mixed Methods, Frameworks for Research and Research Designs (other), 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, Research and Project Management, Research Ethics, Research Management and Impact (other), Frameworks for Research and Research Designs, Experimental and Quasi-Experimental Research, Evaluation Research, Field Research, Collaborative Approaches, Mixed Methods, Data Collection, Data Collection (general), Sampling, Questioning, Observation, Measu

Related publications and presentations:

Frameworks for Research and Research Designs
Evaluation Research
Case Study
Participatory Research
Behavioural Research
Secondary Analysis
Mixed Methods
Frameworks for Research and Research Designs (other)
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
Research and Project Management
Research Ethics
Research Management and Impact (other)

Back to archive...