Ethical Considerations In Data Analysis Methods

Data analysis is the method that is used by the researcher for transforming raw data into information that is useful for the study. Two data analysis methods are used by the researcher for conducting analysis. These are as follows:

2.6.1. Quantitative Analysis

Quantitative analysis is the method in which the researcher has the opportunity to make use of statistical approaches for achieving reliable and effective results. The aim of quantitative analysis method is to illustrate the collected data all the way through gathering of primary data. This method works best with the data that is collected by surveys or interviews because it considers statistical approach for generating results. This method is not considered as accurate for the study

Some of the key ethical considerations are as follows:

2.9.1. Validity and Reliability

It is important for the success of a research that the sources for collecting data must be reliable and authentic for the reason that this is the only way through which researcher can get appropriate outcomes. Furthermore, by considering the appropriate sources of data it would assist the researcher to attain their set targets and goals. However, it is a prior duty of the researcher to adopt effective measure in order to enhance the validity of collected data to the greatest level (Flick, 2011).

2.9.2. Plagiarism

Plagiarism is considered as an educational misconduct that should be avoided by the researcher at the time of conducting the research for the reason that it would influence their overall research in a pessimistic manner. Furthermore, it is important from the prospect of researchers that he\she must avoid all sorts of activities that is consider as a plagiarism because this might help them to enhance the quality of their research to the utmost level (Kumar, 2010). Chapter 3: Key Themes and Literature

3.1.