Results from Ordinary Least Squares Regression Analysis
| Model | β | t | p |
|---|---|---|---|
| Model 1: Quiz scores regressed on predictors | |||
| Fixed effects | |||
| Intercept | — | 21.36 | .000 |
| Paraprofessional vs. professional (dummy code) | −.047 | −1.02 | .310 |
| Student vs. professional (dummy code) | .062 | 1.18 | .239 |
| Years of experience | .226 | 4.67 | .000 |
| Model 2: Change scores regressed on predictors | |||
| Fixed effects | |||
| Intercept | — | 3.97 | .000 |
| Paraprofessional vs. professional (dummy code) | −.002 | −.05 | .963 |
| Student vs. professional (dummy code) | .036 | .63 | .529 |
| Years of experience | −.023 | −.44 | .662 |
| Model 3: Competence regressed on predictors | |||
| Fixed effects | |||
| Intercept | v | 25.14 | .000 |
| Paraprofessional vs. professional (dummy code) | −.094 | −2.33 | .020 |
| Student vs. professional (dummy code) | −.085 | −1.87 | .062 |
| Years of experience | .216 | 5.19 | .000 |
| Model 3: Practice outcomes regressed on predictors | |||
| Fixed effects | |||
| Intercept | — | 51.52 | .000 |
| Paraprofessional vs. professional (dummy code) | −.034 | −.79 | .429 |
| Student vs. professional (dummy code) | .058 | 1.20 | .232 |
| Years of experience | .047 | 1.05 | .294 |