Assessing cancer-specific anxiety in Chinese men with prostate cancer: psychometric evaluation of the Chinese version of the Memorial Anxiety Scale for Prostate Cancer (MAX-PC)

2017 ◽  
Vol 25 (12) ◽  
pp. 3683-3690 ◽  
Author(s):  
Qingmei Huang ◽  
Ping Jiang ◽  
Zijun Zhang ◽  
Jie Luo ◽  
Yun Dai ◽  
...  
2012 ◽  
Vol 10 (1) ◽  
pp. 96 ◽  
Author(s):  
Yu-Jun Chang ◽  
Wen-Miin Liang ◽  
Hsi-Chin Wu ◽  
Hsueh-Chun Lin ◽  
Jong-Yi Wang ◽  
...  

2004 ◽  
Vol 27 (3) ◽  
pp. 198-207 ◽  
Author(s):  
Ho Cheung William Li ◽  
Violeta Lopez

2014 ◽  
Vol 21 (4) ◽  
pp. 646-652 ◽  
Author(s):  
Hairong Nan ◽  
Michael Y. Ni ◽  
Paul H. Lee ◽  
Wilson W. S. Tam ◽  
Tai Hing Lam ◽  
...  

2021 ◽  
Vol 10 (3) ◽  
Author(s):  
Hikmet Yazıcı ◽  
Fatma Altun ◽  
Cansu Tosun ◽  
Münevver Özdemir ◽  
Yasemin Karsantık

The purpose of the present study was to adapt COVID-19 Induced Anxiety Scale (CIAS) and Protective Behaviors towards COVID-19 Scale (PBCS) into Turkish language, and to investigate their psychometric properties. 593 adults participated in the study. Data were collected through CIAS and PBCS as well as The Fear of COVID-19 Scale (FCS). Cronbach alpha (α) and McDonald’s Omega (ω) coefficients were utilized for reliability of the Turkish forms of the scales, and validity of the scales was tested with exploratory factor analysis, confirmatory factor analysis and criterion validity. The analysis showed that α and ω reliability coefficients of both scales were over .70. The results of exploratory and confirmatory factor analyses revealed that CIAS had a single factor structure while PBCS had three dimensions as indicated in original forms of the scales. Significant and positive relationships were also found between the scores obtained from CIAS and PBCS and fear scores. To conclude, Turkish forms of CIAS and PBCS were proved to be valid and reliable tools to measure severity of COVID-19 induced anxiety through CIAS and individuals’ protective behaviors towards COVID-19 through PBCS.


2021 ◽  
Vol 5 (IV) ◽  
pp. 382-393
Author(s):  
Neelam Zafar

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