Question
Download Solution PDFArrange the steps of research process in correct sequence.
(A) Collecting data
(B) Reviewing the literature
(C) Designing the methodology
(D) Formulating a research process
(E) Analysis and Interpretation
Choose the correct answer from the options given below:
Answer (Detailed Solution Below)
Option 2 : (D), (B), (C), (A) and (E)
Detailed Solution
Download Solution PDFThe correct answer is - (D), (B), (C), (A) and (E)
Key Points
- Formulating a research problem (D)
- This is the first step in the research process where the researcher identifies the issue or problem to be studied.
- It involves defining the objectives and scope of the research.
- Reviewing the literature (B)
- Once the problem is formulated, the next step is to review existing literature related to the research problem.
- This helps in understanding what has already been studied and identifying gaps in the current knowledge.
- Designing the methodology (C)
- After the literature review, the researcher designs the methodology to be used in the study.
- This includes selecting the research design, methods of data collection, and analysis techniques.
- Collecting data (A)
- In this step, the researcher collects data using the chosen methods.
- Data collection could involve surveys, experiments, interviews, or other methods.
- Analysis and Interpretation (E)
- The final step is to analyze and interpret the collected data.
- This involves using statistical tools and techniques to make sense of the data and derive conclusions.
Additional Information
- Importance of Literature Review
- It helps in identifying the theoretical framework for the study.
- It ensures that the research does not duplicate previous studies and adds new knowledge to the field.
- Methodology Design
- Choosing the right methodology is crucial as it affects the validity and reliability of the research.
- Common research designs include experimental, correlational, and descriptive studies.
- Data Analysis Techniques
- Quantitative data analysis often involves statistical tests such as t-tests, ANOVA, and regression analysis.
- Qualitative data analysis may involve coding, thematic analysis, and content analysis.