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Level 7 Diploma in Accounting and Finance

Quantitative Analysis with SPSS

AF706 · Business Research Methods — Week 9 of 16

CourseAF706
Week9 of 16
SemesterII
TutorOnline in the course chat

This week’s topics

Quantitative Analysis with SPSS

  1. Descriptive statistics and data screening
  2. Bivariate correlation analysis
  3. Multiple regression modeling
  4. Interpreting inferential statistical tests
  5. Quantitative Data Analysis 101 Tutorial: Descriptive vs Inferential Statistics (With Examples)
  6. Inferential Statistics FULL Tutorial: T-Test, ANOVA, Chi-Square, Correlation & Regression Analysis
  7. The Linear Model (Regression Part I)

What you will be able to do

  • 4.1 Propose techniques for use with quantitative and qualitative data.

Activity

Start with this week’s 3 videos, then: Seminar, guided reading and a short written task: propose techniques for use with quantitative and qualitative data.

Study materials

Videos

  • Quantitative Data Analysis 101 Tutorial: Descriptive vs Inferential Statistics (With Examples) · YouTube · Grad Coach · 28 min · for registered students
  • Inferential Statistics FULL Tutorial: T-Test, ANOVA, Chi-Square, Correlation & Regression Analysis · YouTube · Grad Coach · 13 min · for registered students
  • The Linear Model (Regression Part I) · YouTube · Discover Statistics · 51 min · for registered students

Further resources

  • Principles of Finance 2e, ch. 14: Regression Analysis in Finance · PDF · OpenStax, textbook chapter; pp. 423–454 · for registered students
  • Principles of Data Science, ch. 4: Inferential Statistics and Regression Analysis · PDF · OpenStax, textbook chapter; pp. 155–222 · for registered students
  • Introductory Business Statistics 2e, ch. 13: Linear Regression and Correlation · PDF · OpenStax, textbook chapter; pp. 547–627 · 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: Research Problem Formulation
  • Week 2: Research Aims and Questions
  • Week 3: Critical Literature Reviewing
  • Week 4: Theoretical and Conceptual Frameworks
  • Week 5: Research Philosophies and Methodological Paradigms
  • Week 6: Qualitative Data Collection and Analysis
  • Week 7: Quantitative Survey Design and Sampling
  • Midterm: Midterm evaluation
  • Week 9: Quantitative Analysis with SPSS
  • Week 10: Methodological Justification and Research Ethics
  • Week 11: Integrated Research Proposal Development
  • Week 12: Applying Business Research Methods 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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