data collection, analysis, and conclusion recommendations

data collection

Data collection as a main stage in research can overshadow the quality of achieving results by decreasing the possible errors which may occur during a research project. Therefore, alongside a good design for the study, plenty of quality time should be spent in the collection of data to gain appropriate results since insufficient and inaccurate data prevents assuring the accuracy of findings (Kabir, 2016)

DATA ANALYSIS

According to LeCompte and Schensul, research data analysis is a process used by researchers to reduce data to a story and interpret it to derive insights. The data analysis process helps reduce a large chunk of data into smaller fragments, which makes sense.

On the other hand, Marshall and Rossman describe data analysis as a messy, ambiguous, and time-consuming but creative and fascinating process through which a mass of collected data is brought to order, structure and meaning.

CONCLUSION

The conclusions discusses the facts found by the researcher and how they contributed to a logical opinion. In crafting your conclusion, you must establish the validity and integrity of all statements to be included therein.

RECOMMENDATION

On the other hand, the recommendation comes form of future plans regarding what the researchers could do to improve the generated answer from the study. It can also suggest future directions of the field that might open new problems related to the current topic.