the czech version of the over-claiming questionnaire (ocq) – the transfer of method and the pilot study
Clicks: 132
ID: 147559
2017
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Star Article
30.0
/100
132 views
23 readers
AI Quality Assessment
Not analyzed
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
The authors describe a development of the Czech version of the Over-claiming Questionnaire (OCQ) in relation to the work of Delroy Paulhus. First, the authors created the longer version (OCQ-150) and subsequently the shortened version (OCQ-100), which contains 100 items in 10 knowledge-based categories. Each category includes 8 items, which exist and 2 items, which do not exist. By the calculation of the accuracy index and the bias index we can get information about how much a proband has a tendency to distinguish real concepts from the unreal concepts and how much tendency a proband has to accept the concept or reject it. The test confirmed the ability to differentiate between the participants of selection procedure, who have a high motivation for good performance and those from general population without such a motivation. The authors recommend a further use of OCQ-100 for research, especially in the area of selection procedures.
(Fulltext in Czech)
| Reference Key |
2017e-psychologiethe
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | ;Minarčíková, Nikola ;Příhodová, Tereza;Maliňaková, Jana ;Riegel, Karel;Marková, Jindra;Preiss, Marek |
| Journal | e-psychologie |
| Year | 2017 |
| DOI |
DOI not found
|
| URL | |
| Keywords | Keywords not found |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.