ol vision?
Do you think that by distributing leadership among students will help your school to achieve its vision? How?
3.6 Ethical issues
According to Angelica Orb, Laurel Eisenhauer, Dianne Wynaden (2000; 33:1, 93) while conducting a research work it is important to respect some ethical issues so as not “creates tension between the aims of research to make generalizations for the good of others, and the rights of participants to maintain privacy.” So in order not find our self in an embarrassing situation, we as a researcher need to consider some ethical issues such as ask permission, to be honest, to be open, to respect confidentiality, etc.
4 Research analysis
After presenting the research methodology and research methods of this study, we will now concentrate on data analysis. The fact that for this research project, the research methodology chosen is a case study, we will focus our self on the analysis of qualitative data.
4.1 What is data analysis?
Undoubtedly, the analysis of data is the most difficult and strange of all of the phases of a qualitative research project. According to Rob Watling and Veronica James,in the book Research Methods in Educational Leadership and Management, “analysis is the elusive process by which the researcher hopes to turn raw data into nuggets of pure gold.” In this definition we can say that the main aspect is that data analysis is a very complicated process but nevertheless it is a crucial part of a research project as it is only after completing this part that a researcher can prove that his/her hypotheses are right or wrong. In fact before making data analysis all the hypotheses of the researcher are raw data, it is only after analysing all the data that the raw data will be transformed into factual information. Another definition is that data analysis is a body of methods that help to describe facts, detect patterns, develop explanations, and test hypotheses. (Macintosh HD:DA:DA XI: Volume I:006 Intro) It is used in all of the sciences. It is used in business, in administration, and in policy. According to this definition, data analysis has different functions. It consists of various techniques which are used to explain information in relation to our research, to identify correlations between variables, (if ever they exist), to explain and to assess the hypotheses of the researcher. Also it is used in various fields. Data analysis can be explained a follows:
RAW DATA
INTERPRETATION
ANALYSIS
DATA
There are numerous steps which can be followed in order to be able to analyse data. Among them there are the following:
To collect, to prepare and to organise the data methodically and meticulously.
To records, review and explore the data collected.
To code the data into categories
To construct descriptions of people, places and activities
To concentrate on responding to research questions
To build themes and test hypotheses
To report and to interpret the data.
4.2 Importance of data analysis
As suggested earlier, data analysis is a very important part to work on while carrying a research project. In fact data analysis assists researchers to a great extent in their search for success.
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