1. DATA ANALYSIS
1.1. Quantitative Research
1.1.1. Uses numerical data draw conclusions
1.1.2. Uses statistical tests to analyze data
1.1.2.1. Mann-Whitney U-test
1.1.2.2. Spearman rank correlation test
1.1.2.3. Kruskal-Wallis test
1.1.2.4. T-test
1.1.2.5. Pearson correlation
1.1.2.6. ANOVA
1.1.2.7. Chi-square test
1.1.2.8. Wilcoxon signed-rank test
1.2. Qualitative Research
1.2.1. Uses themes to find patterns for the study
2. CONCLUSION
2.1. Answers specific questions from the statement of the problem
2.2. Conclusions are based on
2.2.1. Inferences
2.2.2. Deductions
2.2.3. Abstractiosn
2.2.4. Implications
2.2.5. Interpretations
2.2.6. Generalizations
2.2.7. General statements
2.3. The conclusions are stated categorically
2.4. Gives reference
2.4.1. Population
2.4.2. Area
2.4.3. Subject
3. RECOMMENDATION
3.1. Recommends solutions to the problem or problems in the investigation
3.2. Recommends for continuance of a good practice or improvements
3.3. Recommends something that is
3.3.1. Ideal
3.3.2. Feasible
3.3.3. Practical
3.3.4. Attainable
3.4. Recommendations are addressed to
3.4.1. Persons
3.4.2. Entities
3.4.3. Agencies
3.4.4. Offices
3.4.5. Organizations
3.5. Recommends to other researchers with similar topics to
3.5.1. Improve
3.5.2. Amplify
3.5.3. Deny
3.5.4. Verify
4. SUMMARY OF FINDINGS
4.1. states briefly
4.1.1. main purpose of the study
4.1.2. population of the respondents
4.1.3. period of the study
4.1.4. method of research used
4.1.5. research instrument
4.1.6. sampling design