Tests are considered reliable if they are administered consistently. The test being reliable is a critical part of conducting the test. If they are not reliable then what is the purpose of testing? Instrument validity will help determine if the instrument will be able to provide accurate results of what it is measuring. There are circumstances where the instrument is valid however the measurement provided is not depending on the different conditions. Even if the data provided is consistent sometimes the results might not be reliable. Both reliability and validity play a role hand in hand with one another to ensure you are getting the best most accurate results, one without the other would lose credibility.
The reason research and data are interconnected is to be able to provide quality data. An example of producing reliable data that might be invalid. In an attempt to quantify the intelligence of a sample it is difficult to take into account something like emotional intelligence, very similar to that. Surely, it must take intelligence to create an opera. How would you quantify that? Would it be based on people’s perceptions of how good it was? How do you determine what makes a good one and what makes a bad one? In this specific case, it truly is the eye of the beholder. Whether the number of notes played or the simplicity of the melody is not effective measures of intelligence then how do you define a flop from a masterpiece?
References:
Chapter 7 Scale Reliability and Validity | Research Methods for the Social Sciences. (, XXXXXXXXXXRetrieved 9 December 2020, from https://courses.lumenlearning.com/suny-hccc-research-methods/chapter/chapter-7-scale-reliability-and-validity/
Thorndike, R. M., & Thorndike-Christ, T. M. (2009). Measurement and evaluation in psychology and education (8th ed.). Upper Saddle River, NJ: Prentice Hall.
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