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Level 6 Diploma in Business Management

Data Analysis and Synthesis

BM602 · Business Research Project — Week 9 of 16

CourseBM602
Week9 of 16
SemesterI
TutorOnline in the course chat

This week’s topics

Data Analysis and Synthesis

  1. Statistical testing
  2. Qualitative thematic analysis
  3. Evaluating findings against hypotheses
  4. Contextualizing results with literature
  5. thematic analysis | how to discuss your themes (5 tips and 5 mistakes)
  6. Improve Validity through Transparency of data analysis in Qualitative research

What you will be able to do

  • 3.3 Interpret and analyse the results in relation to the research specification.
  • 4.1 Use appropriate research evaluation techniques to justify the validity of the research.

Activity

Start with this week’s 2 videos, then: Seminar, guided reading and a short written task: interpret and analyse the results in relation to the research specification.

Study materials

Videos

  • thematic analysis | how to discuss your themes (5 tips and 5 mistakes) · YouTube · Qualitative Researcher Dr Kriukow · 20 min · for registered students
  • Improve Validity through Transparency of data analysis in Qualitative research · YouTube · Qualitative Researcher Dr Kriukow · 7 min · for registered students
  • Thematic analysis of qualitative data: an overview · YouTube · Mark Saunders on Research Methods · 11 min · for registered students
  • Fundamentals of Qualitative Research Methods: Data Analysis (Module 5) · YouTube · Yale University · 17 min · for registered students
  • Hypothesis testing · YouTube · Global Health with Greg Martin · 10 min · for registered students

Further resources

  • Research Methods in Psychology, ch. 13: Inferential Statistics · PDF · Saylor Academy, textbook chapter; pp. 342–377 · for registered students
  • Why most published research findings are false · Reading · Reading, article · for registered students
  • Introductory Business Statistics 2e, ch. 9: Hypothesis Testing with One Sample · PDF · OpenStax, textbook chapter; pp. 381–416 · for registered students
Materials marked “for registered students” open in the student portal, which is set up as soon as you receive final acceptance.
Course chat

Admitted students ask questions on this week’s page in the student portal: an AI assistant trained on the course answers first, and during the course’s timetabled classes Connect to your tutor brings your tutor into the chat, who may start a call if needed.

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Course plan
  • Week 1: Project Selection and Scoping
  • Week 2: Research Questions and Project Planning
  • Week 3: Literature Review and Theoretical Frameworks
  • Week 4: Research Methodologies and Design
  • Week 5: Data Collection and Proposal Formulation
  • Week 6: Research Execution and Fieldwork
  • Week 7: Data Organization and Presentation
  • Midterm: Midterm evaluation
  • Week 9: Data Analysis and Synthesis
  • Week 10: Research Evaluation and Recommendations
  • Week 11: Research Dissemination and Presentation
  • Week 12: Applying Business Research Project in practice: case studies
  • Week 13: Assignment workshop: research, planning and referencing
  • Week 14: Assignment workshop: drafting, feedback and improvement
  • Week 15: Review and coursework completion
  • Final: Final assessment and submission
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