Examining the validity of the drivers of COVID-19 vaccination acceptance scale using Rasch analysis

2021 ◽  
Author(s):  
Chia-Wei Fan ◽  
Jung-Sheng Chen ◽  
Frimpong-Manso Addo ◽  
Emma Sethina Adjaottor ◽  
Gifty Boakye Amankwaah ◽  
...  
Keyword(s):  
Rasch Analysis ◽  
Vaccination Acceptance ◽  
Acceptance Scale

scholarly journals Measurement Invariance of the Drivers of COVID-19 Vaccination Acceptance Scale: Comparison between Taiwanese and Mainland Chinese-Speaking Populations

Vaccines ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 297
Author(s):  
Ya-Chin Yeh ◽  
I-Hua Chen ◽  
Daniel K. Ahorsu ◽  
Nai-Ying Ko ◽  
Kuan-Lin Chen ◽  
...  
Keyword(s):  
University Students ◽  
Measurement Invariance ◽  
Factor Structure ◽  
Online Survey ◽  
Mainland Chinese ◽  
Chinese University ◽  
Vaccination Acceptance ◽  
Health Related ◽  
Acceptance Scale ◽  
Chinese University Students

The impacts of novel coronavirus disease-2019 (COVID-19) on human life continue to be serious. To control the spread of COVID-19, the production of effective vaccines is likely to be one of the best solutions. However, vaccination hesitancy may decrease individuals’ willingness to get vaccinated. The Drivers of COVID-19 Vaccination Acceptance Scale (DrVac-COVID19S) was recently developed to help healthcare professionals and researchers better understand vaccination acceptance. The present study examined whether DrVac-COVID19S is measurement invariant across different subgroups (Taiwanese vs. mainland Chinese university students; males vs. females; and health-related program majors vs. non-health-related program majors). Taiwanese (n = 761; mean age = 25.51 years; standard deviation (SD) = 6.42; 63.5% females) and mainland Chinese university students (n = 3145; mean age = 20.72 years; SD = 2.06; 50.2% females) were recruited using an online survey between 5 January and 21 February 2021. Factor structure and measurement invariance of the two DrVac-COVID19S scales (nine-item and 12-item) were tested using confirmatory factor analysis (CFA). The findings indicated that the DrVac-COVID19S had a four-factor structure and was measurement invariant across the subgroups. The DrVac-COVID19S’s four-factor structure was supported by the CFA results is a practical and valid instrument to quickly capture university students’ willingness to get COVID-19 vaccination. Moreover, the DrVac-COVID19S can be used to compare university students’ underlying reasons to get COVID-19 vaccination among different subgroups.

scholarly journals The development and validation of the Motors of COVID-19 Vaccination Acceptance Scale: Psychometric evaluation among mainland Chinese university students

2021 ◽  
Author(s):  
I-Hua Chen ◽  
Daniel Kwasi Ahorsu ◽  
Nai-Ying Ko ◽  
Cheng-Fang Yen ◽  
Chung-Ying Lin ◽  
...  
Keyword(s):  
University Students ◽  
Factor Structure ◽  
Internal Consistency ◽  
Cognitive Model ◽  
Reliability And Validity ◽  
Fit Indices ◽  
Mainland Chinese ◽  
Group Validity ◽  
Vaccination Acceptance ◽  
Acceptance Scale

Background: COVID-19 continues to ravage the world with economies and life significantly and negatively affected. Fortunately, there has been significant progress in the production of vaccines to stem the infection. However, with controversies and myths surrounding vaccinations, it is timely to examine individuals’ willingness to vaccinate. The present study developed and validated the Motors of COVID-19 Vaccination Acceptance Scale (MoVac-COVID19S) and assessed the acceptance of COVID-19 vaccination utilizing the cognitive model of empowerment (CME). Methods: A total of 3145 university students (mean age=20.80 years; SD=2.09) were recruited for the present study between January 5 and 16, 2021. Two MoVac-COVID19S scales (9-item and 12-item) were adapted from the MoVac-Flu Scale, an instrument developed using CME. Psychometric tests were conducted to ascertain reliability and validity properties. Results: The findings indicated that the MoVac-COVID19S had high internal consistency in both the 9-item version (ω=0.921) and 12-item version (ω=0.898). The factor structure of the MoVac-COVID19S (9-item and 12-item versions) corresponded well with CME theory. All the fit indices were satisfactory (CFI=0.984, TLI=0.971, RMSEA=0.088, SRMR=0.058) but the 9-item MoVac-COVID had better fit indices than the 12-item MoVac-COVID due to the negative wording effects existing in the 12-item MoVac-COVID19S. The scale had satisfactory known-group validity in both 9-item and 12-item versions. Conclusions: The MoVac-COVID19S has promising psychometric properties based on internal consistency, factor structure, and known-group validity.

The Self-Efficacy in Multiple Sclerosis (SEMS) Scale

2018 ◽  
Vol 34 (5) ◽  
pp. 352-360 ◽  
Author(s):  
Silvia Bonino ◽  
Federica Graziano ◽  
Martina Borghi ◽  
Davide Marengo ◽  
Giorgia Molinengo ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Coping Strategies ◽  
Measurement Invariance ◽  
Sense Of Coherence ◽  
Self Efficacy ◽  
Concurrent Validity ◽  
Rasch Analysis ◽  
Well Being ◽  
Psychological Well Being ◽  
And Coping

Abstract. This research developed a new scale to evaluate Self-Efficacy in Multiple Sclerosis (SEMS). The aim of this study was to investigate dimensionality, item functioning, measurement invariance, and concurrent validity of the SEMS scale. Data were collected from 203 multiple sclerosis (MS) patients (mean age, 39.5 years; 66% women; 95% having a relapsing remitting form of MS). Fifteen items of the SEMS scale were submitted to patients along with measures of psychological well-being, sense of coherence, depression, and coping strategies. Data underwent Rasch analysis and correlation analysis. Rasch analysis indicates the SEMS as a multidimensional construct characterized by two correlated dimensions: goal setting and symptom management, with satisfactory reliability coefficients. Overall, the 15 items reported acceptable fit statistics; the scale demonstrated measurement invariance (with respect to gender and disease duration) and good concurrent validity (positive correlations with psychological well-being, sense of coherence, and coping strategies and negative correlations with depression). Preliminary evidence suggests that SEMS is a psychometrically sound measure to evaluate perceived self-efficacy of MS patients with moderate disability, and it would be a valuable instrument for both research and clinical applications.

Sign in / Sign up

Export Citation Format

Share Document