The research strategies proposed to develop the project in Engineering include the experimental work and data analysis with references to the conducted literature review. The experimental work and data analysis can be characterised by a lot of strengths. However, the proposed strategies also have definite limitations and weaknesses. Nevertheless, the focus on both the experimental work and data analysis is important to reduce the negative effects of the strategies’ limitations on the research project.
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The experimental work is the necessary part of the project’s development in the field of engineering. The main strengths of the strategy are in possibilities to receive the results related to the real world situation. The laboratory experiment as one of the most effective scientific methods is characterised by creating the situation for obtaining the necessary quantitative data for the research.
The laboratory experiment is used to confirm the researchers’ hypotheses and observe the particular features or possible changes in the work of the project. Nevertheless, the laboratory experiment also has definite weaknesses which should be taken into consideration while analysing the experiment data.
Experiments are time-consuming procedures which are developed in the artificial environment approximated to the real world. That is why, many assumptions should be taken into account. Furthermore, the experiment results are based on the work with the concrete project, and it is usually difficult to generalise the data.
The findings of the laboratory experiment should be analysed to conclude about the project’s results. The data analysis is the important stage of the project’s development, and it depends on the previous literature review significantly. The data analysis should be realised with references to the results of the previous studies and researches in order to make conclusions about the urgency and originality of the current research.
From this point, the main strengths of the data analysis strategy are in providing the information about the reliability and validity of the research. Moreover, much attention should be paid to the conceptual framework and theoretical background. The data analysis is traditionally provided with references to the results of the previous researches in order to concentrate on the innovations and changes in the projects’ procedures and outcomes.
The data analysis based on the detailed literature review of the latest researches in the definite sphere of knowledge follows the trends in the field and provides the necessary depth in discussion the certain project. Thus, there are two stages associated with the analysis of the data in the research.
The first stage in the form of literature review is necessary to present the theoretical background for the research and determine the aspects which need to be stressed on in the project. The second stage of the data analysis is connected with examining the experiment’s results and drawing conclusions with references to the previous studies in the field.
However, the data analysis can be also associated with a range of weaknesses which can limit the wide usage of the experiment’s results. That is why, it is important to pay attention to the possible incompleteness of the results and to their concrete character which does not allow further generalisation of the findings.
Focusing on the qualitative data presented in the reviewed literature, it is necessary to pay attention to the latest researches because of a lot of dated material. Furthermore, the information presented in the literature is often given only from one perspective. Thus, it is necessary to concentrate on reliable resources providing the information free from the researchers’ bias.