We examine the effect of eligibility for affirmative action on admission and enrollment outcomes as well as on academic achievement using a regression discontinuity (RD) design.
With the premises of Resource Dependence Theory as theoretical background and drawing on a sample of 167 Spanish academic spinoffs, results of regression analysis have highlighted the positive influence of market networks and university support networks on the enhancement of academic spin-offs' entrepreneurial orientation, as well as the null impact exerted by informal networks.
Using data on patients enrolled in the academic hospital, multivariate logistic regression models with all 19 potential predictors were fit.
The present study therefore explored the associations between PA and academic attainment using linear regression analyses with cpm and % MVPA as predictor variables; however as the PA guidelines and previous research highlight the importance of MVPA, associations with cpm as a predictor are presented in online supplementary material.
One academic study, based on a regression analysis of 1992 and 1996 election data, finds that voters who split their tickets because they are consciously seeking to divide power and balance policy make up about twenty per cent of the electorate.
Nevertheless, a further study using regression analysis on academic performance shows that the ownership of a vehicle does not seem to have a significant impact on the grade point average of students, once the cognitive ability and gender are accounted for.
In multiple regression, only gender, academic career, surgery as chosen specialty, and received mentoring are significant predictors.
To explore the relationship of gender, country, maternal education and academic tracking a hierarchical multiple regression analysis was conducted (Table 5).
Furthermore, UKCAT score was the largest predictor of medical school academic performance in the multiple regression models, accounting for between 6 and 13percentt of the variance.
In the multinomial logistic regression model for academic achievement we considered three groups: (i) students with low achievement, as a reference category, (ii) students with average academic achievement, and (iii) students with high achievement.
We examined the impact of low birth weight on long term academic outcomes by estimating the regressions separately for twins and singletons.
