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Class Advanced Methods andTechniques of Research and Statistical Treatment

  • Code

    Code

    ULP7179-23318
  • Syllabus

    Syllabus

    1.Fundamentals of Scientific Research Paradigms and methodological approaches Ethics in management and social work research 2.Quantitative and Qualitative Methods Techniques for collecting and analysing data Applied statistics and content analysis 3.Design and Management of Research Projects Definition of problems and hypotheses Research tools and data validation 4.Research Applied to the Social Economy Social impact and sustainability assessment Application of the SDGs to scientific research 5.Dissemination of Scientific Knowledge Writing scientific articles and reports Communication and publication of results  
  • Objectives

    Objectives

    The curricular unit aims to provide students with advanced knowledge in research methodologies applied to management and social work, promoting critical analysis and the production of scientific knowledge. It develops skills in formulating research problems, choosing quantitative and qualitative methods, collecting and analysing data and communicating results. Students acquire the skills to apply rigorous methodologies in studies on social impact, sustainability and innovation in social economy organisations. Alignment with the Sustainable Development Goals (SDGs) is reflected in training for research that contributes to poverty eradication (SDG 1), quality education (SDG 4), decent work and economic growth (SDG 8), reducing inequalities (SDG 10) and partnerships for the implementation of the goals (SDG 17).
  • Teaching methodologies

    Teaching methodologies

    An active and participatory methodology will be adopted, using innovative techniques. Theoretical-practical classes will include the discussion of research articles, project-based learning, where students will carry out real research in groups, and flipped learning, which encourages students to prepare in advance for debates and the practical application of concepts. Simulation workshops will allow you to explore research scenarios, while online collaborative learning will facilitate content sharing.
  • References

    References

    Kurtaliqi, F., Miltgen, C. L., Viglia, G., & Pantin-Sohier, G. (2024). Using advanced mixed methods approaches: Combining PLS-SEM and qualitative studies. Journal of Business Research, 172, 114464. Proudfoot, K. (2023). Inductive/deductive hybrid thematic analysis in mixed methods research. Journal of mixed methods research, 17(3), 308-326. Saunders, M., Thornhill, A. e Lewis, P. (2016). Research Methods for Business Students. 7th Ed. Prentice-Hall. Vilelas, J. (2020). Investigação: O Processo de Construção do Conhecimento. Lisboa: Edições Sílabo Wieckowski, J., & Salabun, W. (2023). Sensitivity analysis approaches in multi-criteria decision analysis: A systematic review. Applied Soft Computing, 148, 110915. Bernard, H. R. e Ryan, G. W. (2009). Analyzing qualitative data: Systematic approaches. Sage. Bryman, A. (2008). Social Research Methods. 3rd ed. Oxford University: Press Inc.  
  • Assessment

    Assessment

    Descrição dos instrumentos de avaliação (individuais e de grupo) ¿ testes, trabalhos práticos, relatórios, projetos... respetivas datas de entrega/apresentação... e ponderação na nota final.

    Exemplo:

    Descrição

    Data limite

    Ponderação

    Teste de avaliação

    dd-mm-yyyy

    30%

    Portfolio

    dd-mm-yyyy

    40%

    (...)

     

     

     

    Adicionalmente poderão ser incluídas informações gerais, como por exemplo, referência ao tipo de acompanhamento a prestar ao estudante na realização dos trabalhos; referências bibliográficas e websites úteis; indicações para a redação de trabalho escrito...

     

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