Research methodology interpretation

Research methodology interpretation

1. Research Methodology Interpretation Amandeep Singh Assistant Professor, Department of Biotechnology, GSSDGS Khalsa College, Patiala.

2. Interpretation It is the task of drawing inferences from the collected facts after an analytical or experimental study. The task of interpretation has 2 major aspects: Effort to establish the continuity of research Establishment of some explanatory concepts One Study Another Study Your Study Your Study Continuation of Research E xplanatory C oncepts

3. Reasons for Interpretation 1. Through interpretation, a researcher can understand the abstract principle and thus maintain the continuity of research . 1 st researcher can link his findings with 2 nd researcher having the same abstract principle through interpretation . 1 st Researcher 2 nd Researcher Research Findings Research Findings Link Through Interpretation

4. Reasons for Interpretation 2. Serve as a guide for future research . 3. Researcher can better appreciate only through interpretation and to understand the real significance of his study. 4. Interpretation of exploratory research often results into hypothesis of experimental research , results in transition from exploratory to experimental research. This type of interpretation is known as ‘post factum’ (after the fact) interpretation.

5. Reasons for Interpretation Appreciation & Significance of study Continuation of Research Guide for Future Research Exploratory Research Experimental Research Hypothesis

6. Techniques of Interpretation Generalization & Concept formulation Extraneous information (irrelevant or unrelated to the subject being studied) must be considered , which prove to be a key factor in understanding the problem under consideration. Before final interpretation, consult a subject expert or friend with that specialization to point out omissions and errors in the research work. Considering all relevant factors to avoid false generalization.

7. Techniques of Interpretation Generalization & Concept formulation Consider Extraneous information Consult a subject expert Consider all relevant factors

8. Precautions in Interpretation If data are properly calculated and analyzed but wrong interpretation is done that leads to inaccurate conclusion. Data Wrong Interpretation Inaccurate Conclusion X X Data Correct Interpretation Accurate Conclusion

9. Precautions in Interpretation Researcher Attention Data Appropriate Trustworthy Adequate Reflect good Homogeneity Proper analysis through Statistical methods To draw inferences

10. Precautions in Interpretation Check for Errors Wrong interpretation of Statistical measures Hypothesis testing Positive test results Negative test results Should be interpreted as “ being in accord ” Rather than “confirming the validity of the hypothesis” Wrong Inferences

11. Precautions in Interpretation Researcher must consider interpretation with data analysis. Data Analysis Interpretation Reliability Validity Computational checks Comparison of Results

12. Precautions in Interpretation Researcher should identify and separate broad generalizations form the restricted ones, as most of the research is not amendable to broad generalization. Researcher should focus on restricted coverage (particular time, particular area and particular conditions). Research must be framed within these frame limits.

13. Precautions in Interpretation There should be constant interaction between empirical observation ( data from experimentation) and theoretical conception (theoretical concepts of subject under study).