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Internal validity and reliability are at the core of any experimental design. External validity is the process of examining the results and questioning whether there are any other possible causal relationships.
Internal validity - the instruments or procedures used in the research measured what they were supposed to measure. Example: As part of a stress experiment, people are shown photos of war atrocities. Example: As part of a stress experiment, people are shown photos of war atrocities.
Validity of Research Though it is often assumed that a study’s results are valid or conclusive just because the study is scientific, unfortunately, this is not the case. Researchers who conduct scientific studies are often motivated by external factors, such as the desire to get published, advance their careers, receive funding, or seek certain results. In general, VALIDITY is an indication of how sound your research is. More specifically, validity applies to both the design and the methods of your research. Validity in data collection means that your findings truly represent the phenomenon you are claiming to measure.
Validity: the best available approximation to the truth of a given proposition, inference, or conclusion. The first thing we have to ask is: "validity of what?"When we think about validity in research, most of us think about research components. Don’t confuse this type of validity (often called test validity) with experimental validity, which is composed of internal and external validity. Internal validity indicates how much faith we can have in cause-and-effect statements that come out of our research.