Login / Signup

Development, validation and translation of cardiopulmonary resuscitation and automated external defibrillator training and placement bilingual questionnaire.

Keng Sheng ChewSiew Yee LiawAhmad Zulkarnain Ahmad ZahediShirly Siew Ling WongNariman SingmamaeDev Nath KaushalHiang Chuan Chan
Published in: BMC research notes (2019)
Five factors with eigenvalue > 1 were identified. Pattern matrix analysis showed that all items were loaded into the factors with factor loading > 0.4. One item was subsequently removed as Cronbach's alpha > 0.9 which indicates redundancy. Confirmatory factor analysis demonstrated acceptable factor loadings except for one item which was subsequently removed. Internal consistency and discriminant validity was deemed acceptable with no significant cross-loading.
Keyphrases
  • cardiopulmonary resuscitation
  • cardiac arrest
  • psychometric properties
  • machine learning
  • deep learning
  • cross sectional
  • atrial fibrillation
  • cardiac resynchronization therapy