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Difference between valid and reliable data
Difference between valid and reliable data













difference between valid and reliable data

It measures the degree of agreement between different people assessing or observing the same aspect. The four different types of reliability in research is as follows: Inter-Rater Reliability On the other hand, validity suggests the accuracy of a measurement. So what is the difference between validity and reliability in research methodology? Well, reliability means how consistent the measurement is. When research shows high validity, it means we get results that correspond to real properties, characteristics, and variations in the physical or social world.įor instance, if a thermometer displays different temperatures each time under controlled conditions, it means that it is malfunctioning. It denotes how accurately a method measures what it is intended to measure. Now, we will take a look at validity in research. Hence, we conclude that the data is reliable. But what makes the research reliable? Well, it is reliable if the same result can be consistently achieved by using the same methods under the same circumstances.įor instance, when you estimate the temperature of a sample under identical conditions, you get the same results. Reliability in research refers to how consistently a method measures something.

difference between valid and reliable data

If you explore the Internet carefully, you will come across questions like "What is reliability definition in research?" You will get an answer to it in this section. If you are wondering, "What does reliable and validity mean in research?" you will get your desired answer from this blog.

difference between valid and reliable data

It justifies whether the conditions, factors, and the assessment itself is accurate or not. Reliability and validity are two important aspects that every researcher has to consider while conducting research.















Difference between valid and reliable data