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Deniz et al. (2008) found thinking dispositions to be the most significant predictor of evolution acceptance in preservice biology teachers in Turkey.
Therefore, it appears that trust in science and religious commitment are greater indicators of acceptance of evolution facets than political orientation, although political orientation is a meaningful predictor of evolution acceptance when the other variables are omitted from the model.
Building upon our previous discussion of the relationship between education and acceptance of evolution, it is likely that GDP per capita is a predictor of evolution acceptance that is not fully accounted for in assessments of school-life expectancy.
It also shows that two components of religiosity (religious hope and religious influence) are significant positive predictors of creationist views (p < .001) and that acceptance of creationist views is a significant negative predictor of evolution acceptance (i.e., higher religiosity and acceptance of creationist views predicts lower acceptance of evolution; p < .001).001
Other clinical and laboratory markers were not helpful; specifically, C-reactive protein was not a good predictor of evolution to septic shock.
MRI BME has also been found to be a strong predictor of evolution from undifferentiated inflammatory arthritis (UA) to RA by Danish and Japanese groups [ 36- 38].
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Previous research and the availability of international data led us to examine several variables as possible predictors of evolution acceptance.
Regardless, the structural equation model produced results similar to our regression models, suggesting that religious commitment and trust are greater predictors of evolution acceptance than political orientation.
The lack of consistency in the predictors of evolution acceptance in the US compared with other countries led us to wonder if the relationships hold at the state level and if perhaps some states influenced US acceptance as a whole which would explain the anomaly.
Our study did not include data on political views, adherence to the Bible as a source of scientific information, trust in science, or personality characteristics, all of which have been demonstrated as predictors of evolution acceptance (Hawley et al. [2011], Mazur [2004]).
In addition, we sought for independent predictors of evolution to chronic critical illness.
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