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Validity & Reliability
Validity & Reliability Home
In grounding qualitative research,validity receives more importance than reliability. Validity means that the research is sound and based on solid grounds. Internal validity implies that the data used for research are not affected by any external impacts and are consistent throughout the research. While external validity means that the result of a study can be applied to a wide number of situations, and not just to the case which is being considered for research. Ensuring that the thesis/dissertation is valid on both grounds is important. When you work with Dissertation India, you can be certain that the research conducted will have the highest degree of validity, and will never falter during cross checks by evaluators, thus guaranteeing better scores.
One of the key issues in proving the validity of qualitative research is how to specify the link between relations that are under study and the version of them as submitted by the researcher.
The above methods must be applied after considering the type of analysis and relation between variables. Ironic validity seeks to find out the deviations, so it can be used to complement other methods. Rhizomatic validity works between networks and nodes, rather than in a straight line; so it is more suitable for complex problems which consist of many layers of data.
Reliability of a statistical analysis conveys that a methodology being used for interpreting data is consistent and would give uniform results every time it is used. For qualitative research, we would discuss three different forms of reliability.