The statistical analyses used in this study consisted of descriptive statistics, Pearson chi-square tests, and logistic regressions. The regression analysis introduced the focal variables in a series of stages. Model 1 considered the effect of field of study on respondents’ likelihood of being cooled out; Model 2 added institutional prestige; Model 3 added gender; Model 4 included an interaction term between gender and field of study, as emphasized in past research (Ann et al.2009). Multicollinearity was not an issue in the current research, as the highest variance inflation factors were less than 2. Model fit was found to be acceptable according to the standardized Pearson test.
帮你下载文献看了，把上面这段翻译一下，你就可以明白你问的问题了，原文段落我帮你设置为高亮了，你自己看一下就明白了，不明白再问我吧，至于系数是怎么计算的，文章运用的逻辑斯特logstic回归把变量名和数据都设置好，自动就跑出来了

模型1,2,3,4,5是怎么计算出来的。具体可以看附件的文献，如果有懂的朋友，酬谢。

你是想问每个模型的independent variable是哪些，还是想问这些coefficient是通过什么模型算出的？

模型变量如何处理，比如机构声望，他是按等级变量处理，还是按无序变量处理，进而，怎么赋值？

谢谢。这个基本能看懂。可能自己没有把问题进一步表达清楚。比如学科和机构声望，如何设置？是处理成无序变量，还是要设置哑变量？如果有缺失值，如何处理。