Validity (statistics)

Reproducibility, closely related to replicability and repeatability, is a major principle underpinning the scientific method. For the findings of a study to be reproducible means that results obtained by an experiment or an observational study or in a statistical analysis of a data set should be achieved again with a high degree of reliability when the study is replicated. There are different kinds of replication but typically replication studies involve different researchers using the same methodology. Only after one or several such successful replications should a result be recognized as sci

extent to which a concept, conclusion or measurement is well-founded and corresponds accurately to the real world

three datasets used in machine learning

extent to which a piece of evidence supports a claim about cause and effect

validity of applying the conclusions of a scientific study outside the context of that study

the degree to which a test measures what it claims, or purports, to be measuring

extent to which a test measures what it is supposed to measure

validity within a criteria

relevance of a study's variables and conclusions to real-world context

extent to which a test is subjectively viewed as covering the concept it purports to measure

term in statistics and psychology

statistics concept

statistical technique used to examine construct validity

measure has all parts of the construct