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Steve Johnson (2011) states that “data analysis helps in structuring the findings from different sources of data collection. It is helpful in breaking macro-problem into micro-parts. This process acts as a filter when it comes to acquiring meaningful insights out of huge data-set.” According to this definition we can say that simply collecting data will not help the researcher greatly. The data collected has to be analysed in order to draw any conclusion about the research question. And this is why we say that analysing data is a fundamental process which helps the researcher to generate answers to his/her research questions. Johnson also argued that “data analysis helps in keeping human bias away from research conclusion with the help of proper statistical treatment.” In fact we can say that as long as data has not been analysed properly there will always be risks of biasness of a research project and the interpretation of may even not be totally reliable.

As far as this study is concerned after having gathered data concerning the promotion of student leadership in a school based management through observations, questionnaires and interviews, I will carry out a primary analysis of the data collected, after which I will draft a report based on primary findings which will lead to points to ponder. Then I will carry out a secondary analysis of the data and finally I will make the final interpretation concerning the promotion of student leadership in the school based management.

Among the problems we might come across while analysing data are firstly in a case study, fewer people are studied due to the fact that collection of qualitative data is generally more time consuming. Also it is less easy to generalize in a case study as the sample is few. It is difficult to make systematic comparisons: for example, if people give widely differing responses that are highly subjective. Finally the result of analysis is somewhat dependent on skills of the researcher particularly in the case of conducting interviews, focus groups and observation.

5 Conclusion and recommendations

After considering the data analysis part, as a researcher, we are now able to conclude our study as well as making recommendations.

5.1 Importance of conclusion

To conclude a research project is as important as writing up the introduction. In fact it makes our work complete and leaves the final impression on our reader. Whatever research methodology a researcher is using, the concluding part is vital and determines the success or failure of the study. In fact if a excellent research work is not well concluded, the results may not be taken seriously. While writing conclusion there are a number of aspects which need to be included, such as, summarise of the content, restate the aims, summarise the findings, suggest implications, state the significance of the findings, state the limitation of the study, etc.

5.2 Recommendations

The last part of a research work includes recommendations. These can be of two types:

recommendations for further study or recommendations for change.

Each recommendation should trace directly to a conclusion. According to Ming Tham (2001) “the Recommendations section is important. Research often exposes further difficulties and introduces more questions.” As a researcher, there is a t