Severity: Warning
Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3122
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
Transitive inference (TI), referring to one's ability to learn that if A > B and B > C, one can infer that A > C, is a form of serial learning that has been tested using a variety of experimental protocols. An element of most of these protocols is the presentation of some form of visual corrective feedback to help inform naïve participants about the nature of the task. Therefore, corrective feedback is often used as a critical tool for experimental TI. To further explore this tool, we presented varying forms/presence of visual feedback during TI performance: corrective, none, and ambiguous. Of the three conditions, presentation of the ambiguous feedback yielded the clearest disruption of TI performance, obvious in measurements of both response accuracy and reaction times. Participants appears to remain engaged with feedback was withheld entirely, but to disengage when presented with ambiguous feedback. Therefore, the choice regarding the form of feedback provided during testing may be critical for information processing of inferences.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.3758/s13421-024-01654-0 | DOI Listing |
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!