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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.
Technical reports are often prepared for sponsors of research projects. Another case where a technical report may be produced is when more information is produced for an academic paper than is acceptable or feasible to publish in a peer-reviewed publication; examples of this include in-depth experimental details, additional results, or the ...
A series of 2001 papers published in the Journal of Child Sexual Abuse discussed and criticized the findings of the Rind et al. study. Stephanie Dallam stated that, after reviewing the evidence, the paper was best described as "an advocacy article that inappropriately uses science in an attempt to legitimatize its findings". [8]
One of the most notable scientific papers that first popularized hydroxychloroquine as a COVID-19 treatment was retracted from its journal due to ethical and methodological issues. Retractions in ...
A review article is an article that summarizes the current state of understanding on a topic within a certain discipline. [1] [2] A review article is generally considered a secondary source since it may analyze and discuss the method and conclusions in previously published studies.
While the general arguments in the paper recommending reforms in scientific research methodology were well-received, Ionnidis received criticism for the validity of his model and his claim that the majority of scientific findings are false. Responses to the paper suggest lower false positive and false negative rates than what Ionnidis puts forth.
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 a 2012 paper, C. Glenn Begley, a biotech consultant working at Amgen, and Lee Ellis, a medical researcher at the University of Texas, found that only 11% of 53 pre-clinical cancer studies had replications that could confirm conclusions from the original studies. [38]
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