Essential Components of Academic Research Methodology

Core Components of a Research Project

1. Research topic and relevance.
2. Pertinence of the research object regarding the work area and project criteria.
3. Problems, hypotheses, and guidelines.
4. Objectives.
5. Methodologies, including techniques.
6. Goals and results:
   • Publication of books
   • Generation of knowledge
   • Consolidation of faculty
   • Training of human resources
   • Problem-solving for present and future challenges
7. Justification.
8. Theoretical framework.
9. Information sources.
10. Bibliography.

Approach to the Problem

This involves sharpening and shaping the research idea (Sampieri, 1998). It must be verbalized in a clear and precise procedure for scientific investigation.

Kerlinger's Criteria:

1. The problem must express a relationship between two or more variables.
2. It must be clearly formulated as a question.
3. It must be observable and testable in reality (empirical testing).

Sampieri and co-authors consider:

• a) The objectives pursued by the research.
• b) Research questions.
• c) The justification of the study.

Research Objectives

1. Clarify the issue or problem.
2. Contribute to the solution of a problem.
3. Test a theory or provide empirical evidence.

Research Questions

1. Must be precise, specific, and define all variables within the research scope.
2. Must be limited to the specific study context.

Study Rationale

This defines the importance of the investigation and identifies the key variables involved.

Types of Research

• Exploratory: Used when the issue has been little explored, or there is a lack of previous studies or precise hypotheses.
• Descriptive: Focuses on describing events using systematic criteria to show the structure or behavior of phenomena, providing comparable information. It requires considerable knowledge of the area to formulate specific questions.
• Correlational: Analyzes two or more variables to determine if they are related. Its purpose is to understand how one variable behaves based on its relationship with others.
• Explanatory: Analyzes the causal relationships of events to explain the "why" or "how" of phenomena. This is more complex and carries a higher risk of error.