DC pole | Wartość | Język |
dc.contributor.author | Wojciechowski, Bartosz Wojciech | - |
dc.date.accessioned | 2020-05-27T09:00:34Z | - |
dc.date.available | 2020-05-27T09:00:34Z | - |
dc.date.issued | 2014 | - |
dc.identifier.citation | Acta Universitatis Lodziensis. Folia Psychologica, T. 18 (2014), s. 85-109 | pl_PL |
dc.identifier.issn | 1427-969X | - |
dc.identifier.issn | 2353-4842 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.12128/14265 | - |
dc.description.abstract | Psychological content analysis techniques developed to distinguish truthful from fabricated
allegations (Statement Validity Assessment, Reality Monitoring, Scientifi c Content Analysis)
show some promise in distinguishing truthful from fabricated statements. It is however argued,
that they are not accurate enough to be admitted as expert scientifi c evidence in courts. A new,
innovative formal assessment procedure – Multivariable Adult’s Statement Assessment Model
(MASAM) was proposed.
A group of 43 raters trained in statement content analysis, rated witnesses’ accounts. Studies
have proven that with the use of MASAM it is possible to select 96,87% of truthful accounts and the
conditional probability for content analysis results based upon MASAM analysis is 91,85%. As regards
to false statements assessment, content analysis with the use of MASAM has also proven its
superiority, with the conditional probability of 69,23% and three other compared content analysis
techniques lead to wrong decisions in more than 50% of cases. | pl_PL |
dc.language.iso | pl | pl_PL |
dc.rights | Uznanie autorstwa-Użycie niekomercyjne-Bez utworów zależnych 3.0 Polska | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/pl/ | * |
dc.subject | content analysis | pl_PL |
dc.subject | veracity assessment | pl_PL |
dc.subject | MASAM | pl_PL |
dc.title | Psychologiczna analiza treści zeznań | pl_PL |
dc.type | info:eu-repo/semantics/article | pl_PL |
Pojawia się w kolekcji: | Artykuły (WNS)
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