The number of recommendations needed for research varies significantly depending on the type of research, its scope, and the specific goals.
Factors Influencing Recommendation Number:
- Research Type:
- Qualitative research: Focuses on understanding experiences, perspectives, and meanings, often using smaller sample sizes. It might involve fewer recommendations than quantitative research.
- Quantitative research: Involves collecting and analyzing numerical data, often using large sample sizes. It might require more recommendations to address different variables and relationships.
- Research Scope:
- Narrow research: Concentrates on a specific topic or question, requiring fewer recommendations.
- Broad research: Covers a wider range of topics or questions, potentially requiring a larger number of recommendations.
- Research Goals:
- Descriptive research: Aims to describe phenomena, which might require fewer recommendations compared to research focused on intervention or policy.
- Applied research: Aims to solve practical problems, requiring more recommendations to guide action or implementation.
Examples:
- Qualitative study on student experiences with online learning: Might have 3-5 recommendations based on themes identified from student interviews.
- Quantitative study on the effectiveness of a new teaching method: Might have 10-15 recommendations based on statistical analysis of student performance data.
Practical Insights:
- Focus on actionable recommendations: Recommendations should be clear, concise, and specific enough to be implemented.
- Consider the audience: Tailor recommendations to the intended audience, such as policymakers, practitioners, or researchers.
- Prioritize recommendations: Highlight the most important or impactful recommendations for maximum impact.
