About: Person-fit analysis     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : dbo:TopicalConcept, within Data Space : dbpedia.demo.openlinksw.com associated with source document(s)
QRcode icon
http://dbpedia.demo.openlinksw.com/describe/?url=http%3A%2F%2Fdbpedia.org%2Fresource%2FPerson-fit_analysis&invfp=IFP_OFF&sas=SAME_AS_OFF

The person-fit analysis is a technique for determining if a person's results on a given test are valid, meaning they are a result of the trait being tested, and not some external factor such as cheating, falling asleep in the middle of the test or otherwise.

AttributesValues
rdf:type
rdfs:label
  • Person-fit analysis (en)
rdfs:comment
  • The person-fit analysis is a technique for determining if a person's results on a given test are valid, meaning they are a result of the trait being tested, and not some external factor such as cheating, falling asleep in the middle of the test or otherwise. (en)
dcterms:subject
Wikipage page ID
Wikipage revision ID
Link from a Wikipage to another Wikipage
sameAs
dbp:wikiPageUsesTemplate
has abstract
  • The person-fit analysis is a technique for determining if a person's results on a given test are valid, meaning they are a result of the trait being tested, and not some external factor such as cheating, falling asleep in the middle of the test or otherwise. An item-score vector is a list of "scores" that a person gets on the items of a test, where "1" is correct and "0" is incorrect. For example, if a person took a ten-item quiz and answered only the first five questions correctly, the vector would be {1, 1, 1, 1, 1, 0, 0, 0, 0, 0}. The analysis can determine how unlikely an item-score vector is compared to a hypothesized test theory model such as item response theory, or compared with the majority of item-score vectors in the sample. In individual decision-making in fields such as education, psychology, and personnel selection, it is important that test users have confidence in the test scores used. The validity of individual test scores may be threatened when the examinee's answers are governed by factors other than the psychological trait of interest—factors that can range from something as benign as the examinee dozing off to concerted fraud efforts. Person-fit methods are used to detect item-score vectors where such external factors may be relevant, and as a result, indicate invalid measurement. Unfortunately, person-fit statistics can only tell if the set of responses is likely or unlikely to be valid, and does not prove anything. The results of the analysis might look like an examinee cheated, but the ability to prove it by returning to when the test was administered is not possible. This limits its practical applicability on an individual scale. However, it might be useful on a larger scale; if most examinees at a certain test site or with a certain proctor have unlikely responses, an investigation might be warranted. (en)
gold:hypernym
prov:wasDerivedFrom
page length (characters) of wiki page
foaf:isPrimaryTopicOf
is Link from a Wikipage to another Wikipage of
is foaf:primaryTopic of
Faceted Search & Find service v1.17_git139 as of Feb 29 2024


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 08.03.3330 as of Mar 19 2024, on Linux (x86_64-generic-linux-glibc212), Single-Server Edition (378 GB total memory, 60 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software