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In qualitative research, a member check, also known as informant feedback or respondent validation, is a technique used by researchers to help improve the accuracy, credibility, validity, and transferability (also known as applicability, internal validity, [1] or fittingness) of a study. [2]
The validity of a measurement tool (for example, a test in education) is the degree to which the tool measures what it claims to measure. [3] Validity is based on the strength of a collection of different types of evidence (e.g. face validity, construct validity, etc.) described in greater detail below.
Statistical conclusion validity is the degree to which conclusions about the relationship among variables based on the data are correct or "reasonable". This began as being solely about whether the statistical conclusion about the relationship of the variables was correct, but now there is a movement towards moving to "reasonable" conclusions that use: quantitative, statistical, and ...
In quantitative research, credibility is liken to internal validity, [23] [24] or the knowledge that our findings are representative of reality, and transferability is similar to external validity or the extent to which the findings can be generalized across different populations, methods, and settings. [23] [24]
Studies driving the credibility revolution have made use of better quality data, and also econometric techniques such as difference in differences, instrumental variables, regression discontinuity, natural experiments, and even, when funding and opportunity permit, true randomized experiments. These techniques have made it possible (in ...
Credibility dates back to Aristotle's theory of Rhetoric.Aristotle defines rhetoric as the ability to see what is possibly persuasive in every situation. He divided the means of persuasion into three categories, namely Ethos (the source's credibility), Pathos (the emotional or motivational appeals), and Logos (the logic used to support a claim), which he believed have the capacity to influence ...
External validity is the validity of applying the conclusions of a scientific study outside the context of that study. [1] In other words, it is the extent to which the results of a study can generalize or transport to other situations, people, stimuli, and times.
Criterion validation checks how meaningful the scale criteria are relative to other possible criteria. Construct validation checks what underlying construct is being measured. There are three variants of construct validity. They are convergent validity, discriminant validity, and nomological validity (Campbell and Fiske, 1959; Krus and Ney ...