Table 4 Multilevel analysis of influence factors on financial knowledge
From: Assessing the financial knowledge of university students in Germany
Parameter | Model 1 | Model 2 | Model 3 | Model 4 | Model 5 |
|---|---|---|---|---|---|
Fixed effects | |||||
Intercept | -.244*** | -.309*** | -.485*** | -.789*** | -.821*** |
(.045) | (.045) | (.053) | (.072) | (.070) | |
Commercial VET | .276*** | .327*** | .329*** | .315*** | |
(1 = yes) | (.060) | (.060) | (.058) | (.059) | |
Gender | .299*** | .299*** | .294*** | ||
(1 = male) | (.050) | (.049) | (.049) | ||
Mother Tongue (1 = not German) | -.105 | -.114 | -.118* | ||
(.063) | (.060) | (.060) | |||
Final School Grade | -.142** | -.165*** | -.166*** | ||
(.044) | (.043) | (.042) | |||
Commercial Upper Secondary School Attended | .200*** | .188*** | .186*** | ||
(.060) | (.058) | (.058) | |||
Finance Course Completed | .187*** | .207*** | |||
(.056) | (.055) | ||||
Mathematics Course Completed | .187** | .176** | |||
(.064) | (.063) | ||||
Number of Semesters | .021 | .017 | |||
(.014) | (.014) | ||||
Type of Institution of Higher Education (1 = University) | .138* | ||||
(.061) | |||||
Var(Intercept), u oj | 0.022* | 0.017* | 0.016* | 0.000 | 0.000 |
Var(Level 1), r ij | 0.295* | 0.284* | 0.251* | 0.230* | 0.229* |
Pseudo-R2 (Institutional) | 0.223 | 0.280 | 0.993 | 0.999 | |
Pseudo-R2 (Personal) | 0.037 | 0.150 | 0.220 | 0.222 | |