Page 17 - Doctoral Academy Level 1 Programme-2023

TOPIC 14

Introduction to quantitative data analysis and presentation

Purpose: The purpose of this presentation is to provide postgraduate students and early career
researchers with an introduction to quantitative data analysis and presentation. By the end of the

presentation, participants should have a clear understanding of the different types of quantitative data
analysis, how to choose the appropriate one for their research, and how to effectively present
quantitative data.

Learning Outcomes: By the end of this presentation, participants should be able to:

1. Explain the importance of quantitative data analysis in research, and its relationship to research
objectives and hypotheses.
2. Describe the different types of quantitative data analysis, including descriptive statistics,

inferential statistics, correlation, regression, and factor analysis.
3. Discuss the strengths and limitations of each type of quantitative data analysis, and how to

choose the appropriate one based on the research question and aims.
4. Demonstrate understanding of the importance of checking data assumptions and meeting
statistical criteria for different types of quantitative data analysis.

5. Demonstrate an understanding of the different methods for presenting quantitative data,
including tables, graphs, and charts.
6. Demonstrate understanding of the importance of clear and concise data presentation, and the

role of visual aids in effectively communicating research findings.
7. Demonstrate understanding of the ethical considerations in quantitative data analysis and
presentation, including protecting participant privacy and confidentiality.

8. Apply appropriate quantitative data analysis and presentation methods to their research, and
critically reflect on the implications of these methods for research design and interpretation.

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