Programa

Research & Development Seminars

Mestrado Bolonha em Data Analytics for Business

Programa

1. Science and Scientific Research: Understanding the nature of science; Principles of scientific inquiry; Differentiating between scientific and non-scientific inquiry. 2. Thinking like a researcher: Developing a research mindset; Critical thinking and problem-solving skills; Formulating research questions and hypotheses. 3. The Research Process: Overview of the research process; Planning and conducting research; Writing research proposals and reports. 4. Theories in Scientific Research: Understanding theories and their role in research; Types of theories in scientific inquiry; Evaluating and applying theories in research. 5. Research Design: Introduction to research design; Types of research designs (e.g., experimental, correlational, qualitative); Designing research studies to address specific research questions. 6. Measurement of Constructs: Conceptualization and operationalization; Developing measurement instruments; Assessing the validity and reliability of measures. 7. Scale Reliability and Validity: Understanding reliability and validity; Methods for assessing reliability and validity; Ensuring the quality of measurement scales. 8. Sampling and Survey Research: Overview of sampling techniques; Designing surveys and questionnaires; Data collection and analysis in survey research. 9. Experimental Research: Principles of experimental research; Designing experiments and controlling for confounding variables; Conducting experiments and analyzing experimental data. 10. Case and Interpretive Research: Understanding case study research; Designing and conducting case studies; Understanding hermeneutics and phenomenology; Analyzing and interpreting qualitative data. 11. Experimental Research: Principles of experimental research; Designing experiments and controlling for confounding variables; Conducting experiments and analyzing experimental data. 12. Data Analysis: Quantitative and Qualitative. 13. Case and Interpretive Research 14. Research Ethics