Sentence examples for opportunity variables from inspiring English sources
In model M6, the results for the motivation and opportunity variables were similar to model M3.
Therefore, we shall concentrate on discussing the results of the opportunity variables.
Opportunity variables were not found to be significantly influencing function in this study of only 100 participants.
Therefore, the opportunity variables show that individuals who believe that condoms are easy to obtain and affordable are more likely to use condoms in extramarital sex compared to those who do not believe same.
Or is fatigue an equal-opportunity variable?" There are inherent differences; athletes jump within the context of a game and not in a rehearsed choreographic exercise.
Opportunity cost variables outperformed affiliation and demographic variables when used in one model and had almost as much explanatory power as the combined model when used on their own.
However, this has not been done for the political opportunity structure variables, the participants in strikes, and the protest participants since values on these variables did not follow clear time trends.
We investigated the explanatory power of a group of opportunity cost variables in the decision to participate in a landscape-level conservation initiative on the Agulhas Plain, Cape Floristic Region.
The utility scores showed similar relationships between the gene regions at all taxonomic levels, and all increased at deeper taxonomic levels where more species, and consequently more opportunity for variable characters, were included in each calculation (Figure 2).
A report last month by the women and equalities select committee, chaired by Conservative MP Maria Miller, identified the lack of flexible working opportunities – including variable start and finish times, working from home, or the option to work fewer days – as the main driver of the enduring pay difference between men and women (still at a dismal 19.2%).
Basic and translational research provides the opportunity to evaluate variables that may be difficult to examine thoroughly with clinical populations.
