The phrase "awareness variables" is correct and usable in written English.
It can be used in contexts related to psychology, data analysis, or any field where factors influencing awareness are being discussed.
Example: "In our study, we identified several awareness variables that significantly impacted participant responses."
Alternatives: "consciousness factors" or "awareness factors".
The sample size for the regression analysis with the Experience and Awareness variables is smaller than the conventional standard of at least five times the number of variables.
We re-ran the SEM treating the two trust items as separate which gave almost identical associations with different situation awareness variables, so we entered their combined score as a latent variable in the final model.
We tested a hypothesized model of associations between trust in (formal/informal) information, situational awareness variables (causal understanding, self-efficacy, susceptibility and worry) and different types of health protective behaviours (hand hygiene and social distancing) for influenza protection.
Both formal and informal information trust were correlated with all situational awareness variables except worry about contracting A/H1N1 ("Worry"), while formal information trust was also independent of perceived personal susceptibility ("Susceptibility").
As associations were observed between awareness variables and between them and gardening year (i.e. increased awareness as bylaw enforcement and education programs rolled out), variable selection was required.
Including the awareness variables resulted in a substantial increase in explanatory power of the model with an increase in Cox & Snell R-Square, from 6.9%to12.1%1%, suggesting that this "awareness" variable group plays a central role in whether couples attended PMS or not.
We illustrate the numerical results, obtained from the applied optimal control theory (i.e. Pontryagin's maximum principle), and we show the effect of the percentage of the awareness variable (control) on minimizing the number of susceptible and infected individuals and increasing the number of the removed ones.
A further issue related to the data is potential endogeneity in the policy awareness variable.
We also found significant interactions between the awareness variable and race and education, as well as interactions between age and gender.
Male respondents were generally more aware of the pesticide bylaw (OR 1.2) and less aware of the Natural Lawn NA indicates not available in gardening season NU indicates variable not used for the model because not appropriate as variable to be dependent variable, not included as wanted to include all seasons, or co-variation required selection between two awareness variable.
The review, however, also notes that this emphasis is tacitly and explicitly rejected by a range of multivariate studies that emphasize the key roles of non-awareness variables, such as, trust, general views about science, and overall worldview.
