ative work where the subjectivity of the researcher can easily cloud data interpretation, and where the scientific community views findings of the research with a lot of doubts. Therefore, scientists pursuing qualitative studies should be sensitive to validity and reliability issues in their projects. The paper identifies several factors posing a risk to the validity and reliability of the qualitative research and suggests strategies that researchers can implement to make this research more credible. Further, the paper discusses how a researcher’s philosophical stance influences their establishment of credibility and dependability in research design, data collection as well as data analysis.
There are a number of factors that are limiting this research. The researcher poses a risk to the validity and reliability of qualitative research. In a qualitative study, the researcher is the instrument that most often gathers data. In the event that researcher competency and researcher bias fails to be checked, there are high chances that data trustworthiness will be influenced (Haverkamp et al., 2007). The mere presence of the researcher may influence the validity of data provided by subjects. There are expectations of reactive effects upon the introduction of a new member in an interaction. These people may try to either reveal themselves in a good way or distort some information. The presence of the researcher creates a behavior in people that normally would have not occurred. In addition, researcher bias can be introduced by a researcher’s tendency to observe subjects and interpret findings concerning their personal values. The trend to selectively observe and record some given data at the expense of other data.
The participating subject also poses risks to validity and reliability. The truthfulness of responses is a critical concern in the event of obtaining data through interviews and questionnaire. Because of certain characteristics and responses of informants,