Training and Events
Applied Research Methods with Hidden, Marginal and Excluded Population
|University of Essex|
21/07/2014 - 25/07/2014
Essex Summer School in Social Science Data Analysis
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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; RDS; 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.
Intermediate (some prior knowledge)
Non- Academic : GBP 1,500
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Epistemology, Descriptive Research, Exploratory Research, Explanatory Research and Causal analysis, Comparative and Cross National Research, Survey Research, Secondary Analysis, Analysis of administrative data, Mixed Methods, Hypothesis testing research, Data Collection, Sampling , Survey and Questionnaire Design, Observation, Visual Methods, Online Data Collection , Data Collection (other), Data Quality and Data Management , Data archiving, Quality in Qualitative Research, Quality in Quantitative Research, Measurement Error, Data Editing, Nonresponse , Statistical Disclosure Control, Data Quality and Data Management (other), Qualitative Data Handling and Data Analysis, Biographical Methods/Oral History, Grounded Theory, Ethnography, Phenomenology, Visual Data Analysis, Qualitative Approaches (other), Quantitative Data Handling and Data Analysis, Statistical Theory and Methods of Inference, Data linkage, Event History Analysis, Time Series Analysis, Data Mining, Quantitative Approaches (other), Mixed Methods Data Handling and Data Analysis, Social Network Analysis, Combining Qualitative and Quantitative Approaches, Mixed Methods Approaches (other), Research Management and Impact, Research and Project Management, Confidentiality and Anonymity, Research Ethics, Research Policy, Evidence-Based Policy and Practice, Research Skills, Communication and Dissemination, 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
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