Learning Objectives
5 objectives- Understand the fundamental concepts and importance of research methods in accounting.
- Identify and evaluate different research designs and methodologies applicable to accounting research.
- Apply appropriate data collection and sampling techniques in accounting research contexts.
- Analyze accounting data using quantitative and qualitative methods.
- Recognize ethical considerations and best practices in reporting and presenting accounting research findings.
Content Outline
PreviewUnit 1296: Research Methods in Accounting
1. Introduction to Research Methods in Accounting
- Importance of research in accounting
- Definition and purpose of research methods
- Overview of research methodologies:
- Qualitative vs Quantitative research
- Mixed methods approach
- Role of research in advancing accounting knowledge and practice
2. Research Design in Accounting
- Concept and significance of research design
- Types of research designs:
- Exploratory
- Descriptive
- Causal (Explanatory)
- Experimental designs
- Criteria for selecting an appropriate research design:
- Research objectives
- Nature of the problem
- Resources and time constraints
- Data availability
3. Data Collection Methods in Accounting Research
- Overview of primary and secondary data
- Primary data collection methods:
- Surveys/questionnaires
- Interviews (structured, semi-structured, unstructured)
- Observations
- Secondary data collection:
- Archival data (financial reports, databases, etc.)
- Advantages and limitations of each method
4. Sampling Techniques in Accounting Research
- Importance of sampling
- Types of sampling methods:
- Probability sampling:
- Simple random sampling
- Stratified sampling
- Systematic sampling
- Cluster sampling
- Non-probability sampling:
- Convenience sampling
- Judgmental sampling
- Snowball sampling
- Probability sampling:
- Factors influencing choice of sampling technique:
- Research purpose
- Population characteristics
- Resources and time
5. Data Analysis in Accounting Research
- Introduction to data analysis
- Quantitative data analysis techniques:
- Descriptive statistics (mean, median, mode, standard deviation)
- Inferential statistics (hypothesis testing, confidence intervals)
- Regression analysis and correlation
- Qualitative data analysis:
- Content analysis
- Thematic analysis
- Coding techniques
- Software tools commonly used (e.g., SPSS, Excel, NVivo)
6. Ethical Considerations in Accounting Research
- Importance of ethics in research
- Confidentiality and privacy of data
- Avoiding data manipulation and falsification
- Managing conflicts of interest
- Maintaining transparency and integrity
- Ethical approval processes
7. Reporting and Presenting Accounting Research Findings
- Structure of research reports:
- Abstract
- Introduction
- Methodology
- Results
- Discussion
- Conclusion
- Best practices for writing clear and concise reports
- Creating effective data visualizations:
- Tables, charts, graphs
- Presenting findings to different audiences
- Using presentations and digital tools effectively
8. Applications of Research Methods in Accounting
- Financial accounting research applications
- Management accounting research approaches
- Auditing research methodologies
- Taxation research studies
- Case studies illustrating applied research methods in each area
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