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: 1034
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3152
Function: GetPubMedArticleOutput_2016
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
Like many other fields and subfields within the social sciences, education, and medicine, nursing education research has a long history of giving p-values associated with common statistical tests a position of primary importance in interpreting study findings. Global, transdisciplinary efforts are underway to diminish the role p-values play in making judgements about the significance of study findings by changing the threshold p-value used to pronounce statistical significance, through the use of Bayesian statistics, and through efforts to report effect sizes alongside p-values. In this month's Methodology Corner installment, the focus is on effect sizes and their role in enhancing the value and utility of nursing education research studies. [J Nurs Educ. 2017;56(11):645-647.].
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http://dx.doi.org/10.3928/01484834-20171020-02 | DOI Listing |
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