Applied Research Methods with Hidden, Marginal and Excluded Populations

Date:

29/07/2019 - 02/08/2019

Organised by:

University of Essex

Presenter:

Andrea rossi

Level:

Entry (no or almost no prior knowledge)

Contact:

Ms. Melanie Sawers, Administrative Director
Essex Summer School In Social Science Data Analysis, University of Essex UK
email: mels@essex.ac.uk
tel: +44 (0) 1206 872502

Map:

View in Google Maps  (CO4 3SQ)

Venue:

Colchester

Description:

Course Content
Focussing on Hard-to-Reach populations, the course provides an introduction to research methods in conducting research, both qualitative and quantitative, on marginal, hidden and excluded population such as children, migrants, refugees and displaced people, sex workers, homeless, victims of conflicts or trafficking, HIV/AIDS, and drug users. Aimed to promote action-oriented research, the course introduces the main theories and research approaches on exclusion and marginalization using different frameworks and techniques. It addresses the dangers associate with the lack of systematic use of solid research methodology, ethics, data collection and analysis in the formulation and evaluation of policies and programs.

Course Objectives
The course aims to enable participants to undertake empirical research with marginal and hidden populations, and seeks to encourage participants to develop methodological strategies for the collection and analysis of such data.

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. It covers quantitative techniques such as adaptive cluster sampling, capture and recapture, RDS (Respondent Driven Sampling), network analysis, as well as participatory research methods.

Course Prerequisites
Basic knowledge in research methods and design. An interest in the topic and some practical research experience, or an acquaintance with applied research, would be helpful.

Cost:

1,100 GBP

Website and registration:

Region:

Greater London

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 , research ethics

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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