Amos software version 26

The hypotheses were examined by means of a path analysis/Amos Structural Equation Modeling, in which the four predictors and the four predicted variables were controlled for each other [IBM, SPSS, https://www.ibm.com/il-en/marketplace/structural-equation-modeling-sem; (44 )]. Maximum likelihood estimates were employed and examined a saturated model, as we did not find any studies that supported an alternative model. It is important to note that in a saturated model, there is no need to examine a model fit as the default and the saturated model are the same (45 ). This saturated model (all paths are examined), which examined this hypothesis, included the four demographic attributes as the predictors; the three conspiracy expressions and the level of vaccination were the predicted variables. The variability in vaccine uptake according to demographic characteristics of vaccinated vs. none-vaccinated individuals was examined using t-test. All statistical analyses were performed using IBM SPSS and AMOS software version 26. P-values lower than 0.05 were considered as statistically significant.

Data were analyzed by the statistical package for the social sciences (SPSS) software version 26 (IBM Corporation, Armonk, NY, USA). The normality of variables was examined by skewness and kurtosis curves. Given that the statistical distribution of all parameters was normal, the correlation coefficients were computed by Pearson’s Correlations. Following this, statistical modeling using a theoretical model, structural equation modeling (SEM) was generated in AMOS software version 26 (IBM Corporation, Armonk, NY, USA). SEM involves a model representing how various parameters are thought to causally connect to one another. Figure 1 depicts the conceptual model of this study.Figure 1

Theoretical model of the study.