Advanced Qualitative Data Analysis
Gain advanced understanding and applied skills in conducting qualitative content analysis, thematic analysis, cross-case analysis and grounded theory using NVivo.
29 Jul – 2 Aug 2024
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Courses
Gain advanced understanding and applied skills in conducting qualitative content analysis, thematic analysis, cross-case analysis and grounded theory using NVivo.
29 Jul – 2 Aug 2024
Enhance your focus group research by achieving an appropriate group composition and gaining a clear understanding of how to use focus groups as a qualitative method.
22–26 Jul 2024
Learn to apply regression analysis in R for effective use in policy analysis and other fields with diverse data and models.
22–26 Jul 2024
Learn fundamental concepts and techniques of qualitative case studies and process tracing, and gain the skills to implement a robust case study.
22–26 Jul 2024
Short course
Learn key aspects of Comparative Historical Analysis, including process tracing, path dependency, case selection, periodisation, and project design.
22–26 Jul 2024
Learn key statistical techniques for cross-national data analysis, including 'country effect' in multivariate methods, comparing regression estimates, and exploring factorial analysis (PCA) with a focus on political science methodology intricacies.
22–26 Jul 2024
Acquire the skills to apply the Critical Discourse Analysis/Discourse-Historical Approach to analyse contemporary political discourse in your research.
29 Jul – 2 Aug 2024
Learn to master interviewing as a data collection method, honing skills in designing protocols, conducting interviews, managing interactions, and enhancing reflexivity.
22–26 Jul 2024
Learn the basics of qualitative comparative analysis and how to apply it in your research project.
22–26 Jul 2024
Learn how to approach the most common analysis tasks in R with confidence, from exporting your results from R to writing an academic paper or report using Rmarkdown.
22–26 Jul 2024
Learn social network analysis for political research, mastering key concepts, methods, and practical applications using R.
22–26 Jul 2024
Learn about what constitutes 'Machine Learning', the varying model types and how to construct and run different methods using social scientific data-sets.
29 Jul – 2 Aug 2024
Learn the fundamentals of political ethnography, exploring methods, writing, research design, quality, and ethics, while gaining practical experience studying politics and power in diverse social and political contexts.
29 Jul – 2 Aug 2024
Learn to conduct data collection and complex data analysis with Python programming through hands-on exercises and practical tips and apply it to your Social Science research.
29 Jul – 2 Aug 2024
Learn foundational qualitative data analysis skills, covering research design alignment, method selection, coding techniques, data transformation, presentation strategies, and basic introduction to the NVivo software.
22–26 Jul 2024
Learn to understand political science literatures using common quantitative text analysis approaches and how to interpret the results with the most common methods used by social scientists.
29 Jul – 2 Aug 2024
Learn to independently plan, design, and conduct surveys, gaining essential knowledge and skills in research design, sampling, measurement techniques, questionnaire design, survey experiments, and data quality assessment.
22–26 Jul 2024
Learn to adeptly apply narrative, visual, and creative participatory research methods in your research, addressing ethical challenges and acquiring the tools for effective design and implementation.
29 Jul – 2 Aug 2024
Learn to use 'formation' and 'elucidation' as ways to think about and work with concepts in your research in social science enterprise.
29 Jul – 2 Aug 2024
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