Search results
Results from the WOW.Com Content Network
There are many subcategories of members checks, including: narrative accuracy checks, interpretive validity, descriptive validity, theoretical validity, and evaluative validity. In many member checks, the interpretation and report (or a portion of it) is given to members of the sample (informants) in order to check the authenticity of the work.
This check is essential for programs that use file handling. Format check Checks that the data is in a specified format (template), e.g., dates have to be in the format YYYY-MM-DD. Regular expressions may be used for this kind of validation. Presence check Checks that data is present, e.g., customers may be required to have an email address ...
A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]
Users of the portal explore tools to use in their research, and can rate, review, and comment on tools, browse curated lists of recommended tools, and add tags to tools. [1] Tool pages on TAPoR consist of a short description, authorial information, a screenshot of the tool, tags, suggested related tools, and user ratings and comments.
A model can be validated only relative to some application area. [2] [3] A model that is valid for one application might be invalid for some other applications. As an example, consider the curve in Figure 1: if the application only used inputs from the interval [0, 2], then the curve might well be an acceptable model.
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. In psychometrics , validity has a particular application known as test validity : "the degree to which evidence and theory support the interpretations of test scores" ("as entailed by ...
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.
In psychometrics, criterion validity, or criterion-related validity, is the extent to which an operationalization of a construct, such as a test, relates to, or predicts, a theoretically related behaviour or outcome — the criterion.