It helps other researchers to gain trust in what has been reported in valid research and leads to the foundation of future research based on the results reported in the previous one. Typically, validly research methods can be divided into seven major types: Face Validity:

It is the validity that measures whether research is impactful or not. However, if a study only satisfies the results it expected to calculate but has no closeness with the real word values, its validity can be challenged. A study will be considered valid if it measures what is expected to be measured and the reported results are very close to the real-world values. Study validity explains the accuracy of the measurement of a scientific study. Study Validity in Academic Research- a Brief Introduction: This article will focus on one of these two important aspects for measuring research quality, that is ‘study validity’. Considering both reliability and validity while deciding on research design to explore facts relevant to a topic of interest, selecting methods, or writing up results is extremely important. The former refers to the consistency of a measure, while the latter explores how accurately results and outcomes are calculated.

Reliability and validity have a fine line of difference.

It explains how effectively a method, test, or technique measures the results of a study. In academic research, especially in quantitative studies, the reliability and validity of the research methods are the major concerns to be addressed to ensure good research practices.

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