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Member check. 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]
Quantitative research is a research strategy that focuses on quantifying the collection and analysis of data. [1] It is formed from a deductive approach where emphasis is placed on the testing of theory, shaped by empiricist and positivist philosophies. [1]
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.
A structured interview (also known as a standardized interview or a researcher-administered survey) is a quantitative research method commonly employed in survey research. The aim of this approach is to ensure that each interview is presented with exactly the same questions in the same order. This ensures that answers can be reliably aggregated ...
The replication crisis[a] is an ongoing methodological crisis in which the results of many scientific studies are difficult or impossible to reproduce. Because the reproducibility of empirical results is an essential part of the scientific method, [2] such failures undermine the credibility of theories building on them and potentially call into ...
Street credibility or "street cred" (also referred to as "the word on the street") is the degree to which someone's word can be believed by a typical person, the "person on the street". [ 33 ] Corporations have gone through their own ways of getting street credibility; however, it goes by a different name: branding.
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. [2][3] Generalizability refers to the applicability of a predefined sample to a ...
Validity (statistics) Validity is the main extent to which a concept, conclusion, or measurement is well-founded and likely corresponds accurately to the real world. [1][2] The word "valid" is derived from the Latin validus, meaning strong. The validity of a measurement tool (for example, a test in education) is the degree to which the tool ...