MANAGEMENT

Detailed explanation-1: -Validity should be considered in the very earliest stages of your research, when you decide how you will collect your data. Ensure that your method and measurement technique are high quality and targeted to measure exactly what you want to know. They should be thoroughly researched and based on existing knowledge.

Detailed explanation-2: -Valid data refers to data that is correctly formatted and stored. Reliable data, on the other hand, refers to data that can be a trusted basis for analysis and decision-making. Valid data is an important component of reliable data, but validity alone does not guarantee reliability.

Detailed explanation-3: -Validity. Validity is defined as the extent to which a concept is accurately measured in a quantitative study. For example, a survey designed to explore depression but which actually measures anxiety would not be consid-ered valid.

Detailed explanation-4: -Validity and reliability in research are distinct, but related concepts. Reliability refers to a study’s replicability, while validity refers to a study’s accuracy. A study can be repeated many times and give the same result each time, and yet the result could be wrong or inaccurate.