Is Christian Education Compatible With Science Education?

Science education and Christian education are not compatible if byChristian education one means teaching someone to be a Christian. Onegoal of science education is to give students factual knowledge. Even whenthere is no actual conflict of this knowledge with the dogmas ofChristianity, there exists the potential for conflict. Another goal ofscience education is to teach students to have the propensity to be sensitiveto evidence: to hold beliefs tentatively in light of evidence and to rejectthese beliefs in the light of new evidence if rejection is warranted by thisevidence. This propensity conflicts with one way in which beliefs are oftentaught in Christian education: namely as fundamental dogmas, rather than assubject to revision in the light of the evidence.     

Predicting stereotype endorsement and academic motivation in women in science programs: A longitudinal model

This study proposed and tested a model based on stereotype threat theory. The hypothesis is that women who are exposed to a low percentage of women in a science program are more likely to endorse the gender stereotype that science is a male domain, which will in turn undermine their autonomous academic motivation. A total of 167 women university students enrolled in science programs participated in an 18-month longitudinal study. Results partially support our model. Although the low percentage of females in science programs was related to endorsement of the gender stereotype, there was no effect of prior stereotype endorsement on subsequent autonomous academic motivation.     

Application of Exploratory Structural Equation Modeling to Evaluate the Academic Motivation Scale

In this research, the authors examined the construct validity of scores of the Academic Motivation Scale using exploratory structural equation modeling. Study 1 and Study 2 involved 1,416 college students and 4,498 high school students, respectively. First, results of both studies indicated that the factor structure tested with exploratory structural equation modeling provides better fit to the data than the one tested with confirmatory factor analysis. Second, the factor structure was gender invariant in the exploratory structural equation modeling framework. Third, the pattern of convergent and divergent correlations among Academic Motivation Scale factors was more in line with theoretical expectations when computed with exploratory structural equation modeling rather than confirmatory factor analysis. Fourth, the configuration of convergent and divergent correlations connecting each Academic Motivation Scale factors to a validity criterion was more in line with theoretical expectations with exploratory structural equation modeling than with confirmatory factor analysis.