Chaocheng Guo, Zhuoran Huang, Jiahao Chen, Guolong Yu, Yudong Wang, Xu Wang
Identification of Novel Regulators of Leaf Senescence Using a Deep Learning Model
Plants (Basel, Switzerland)
research study aimed assess reliability validity turkish version vaccine acceptance instrument vai vai 20item likerttype scale responses ranging across seven points systematic approach followed translate scale turkish involving translation expert panel evaluation backtranslation pilot testing vaccine acceptance instrument sociodemographic data form used data collection reliability scale tested testretest analysis internal reliability examined cronbachs alpha test factor structure examined using exploratory factor analysis efa confirmatory factor analysis cfa employed assess scales fit overall 229 participants included study testretest reliability analysis intraclass correlation coefficient scale 0992 95 ci 09870996 cronbachs alpha value scale 0824 fourfactor structure determined model acceptable fit 2df 38004164 2317 p 0001 cfi 091 gfi 090 agfi 0906 nfi 090 rmsea 0076 mean total vai score 11271 1702 low education level mother housewife parents covid19 vaccine statistically significantly associated low scale score low vaccine acceptance p 005 turkish adaptation vai demonstrated satisfactory levels validity reliability following rigorous testing