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Level 6 Diploma in Accounting and Business

Data Analysis and Interpretation

AB605 · Business Research Project — Week 9 of 16

CourseAB605
Week9 of 16
SemesterII
TutorOnline in the course chat

This week’s topics

Data Analysis and Interpretation

  1. Descriptive and inferential statistical analysis
  2. Thematic and content analysis
  3. Evaluating findings against research questions
  4. Reconciling empirical results with literature
  5. Quantitative Data Analysis 101 Tutorial: Descriptive vs Inferential Statistics (With Examples)
  6. thematic analysis | how to discuss your themes (5 tips and 5 mistakes)
  7. thematic analysis | how to present the results

What you will be able to do

  • 3.3 Interpret and analyse the results in relation to the research specification.

Activity

Start with this week’s 3 videos, then: Seminar, guided reading and a short written task: interpret and analyse the results in relation to the research specification.

Study materials

Videos

  • Quantitative Data Analysis 101 Tutorial: Descriptive vs Inferential Statistics (With Examples) · YouTube · Grad Coach · 28 min · for registered students
  • thematic analysis | how to discuss your themes (5 tips and 5 mistakes) · YouTube · Qualitative Researcher Dr Kriukow · 20 min · for registered students
  • thematic analysis | how to present the results · YouTube · Qualitative Researcher Dr Kriukow · 20 min · for registered students

Further resources

  • Research Methods in Psychology, ch. 12: Descriptive Statistics · PDF · Saylor Academy, textbook chapter; pp. 300–341 · for registered students
  • Principles of Data Science, ch. 4: Inferential Statistics and Regression Analysis · PDF · OpenStax, textbook chapter; pp. 155–222 · for registered students
Materials marked “for registered students” open in the student portal, which is set up as soon as you receive final acceptance.
MidtermWeek 10
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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 Initial Scoping
  • Week 2: Research Design and Resource Planning
  • Week 3: Critical Literature Review
  • Week 4: Methodological Frameworks
  • Week 5: Data Collection Strategies and Research Proposal
  • Week 6: Conducting Fieldwork and Investigation
  • Week 7: Data Organization and Presentation
  • Midterm: Midterm evaluation
  • Week 9: Data Analysis and Interpretation
  • Week 10: Validity Evaluation and Strategic Recommendations
  • Week 11: Dissemination and Professional 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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