Table 4 Multiple linear regression models based on economic knowledge
From: How prior economic education influences beginning university students’ knowledge of economics
TEL4-G score (N = 490) model 1 | TUCE4-G macroeconomics score (N = 245) model 2 | TUCE4-G microeconomics score (N = 245) model 3 | ||||
|---|---|---|---|---|---|---|
Coefficient B | Standard error | Coefficient B | Standard error | Coefficient B | Standard error | |
Constant | 7.600*** | .425 | 15.337*** | 1.038 | 11.512*** | .973 |
Vocational training (with training) | .977*** | .201 | 1.675*** | .595 | .794 | .435 |
Economics course in secondary school major (with major economics course) | .683*** | .172 | 1.579*** | .470 | .477 | .403 |
Upper secondary school specializing in economics | − .339 | .185 | − .149 | .513 | − .332 | .428 |
Final grade | − .716*** | .149 | − 2.140*** | .438 | − 1.047** | .326 |
Gender (male) | .815*** | .155 | 2.307*** | .441 | .982** | .347 |
Migration background (with a MB) | − .020 | .172 | − .617 | .493 | − .766* | .381 |
Adjusted R-squared | .141 | .242 | .077 | |||