55 3 Table 3.5 Regression coeff icients, post standard deviation, and the 95% conf idence interval of the variables’ intercept and variance components with a signif icant effect Variable Regression Coefficient Standard deviation Lower limit Median Upper limit Students’ level of performance Beta1 0.155 0.088 -0.021 0.157 0.322 Beta2 0.361* 0.118 0.134 0.358 0.593 Var.t 0.363 0.054 0.271 0.359 0.482 Var.jt 0.256 0.028 0.206 0.254 0.316 Var.ij 0.742 0.089 0.565 0.744 0.910 Var.ijt 0.586 0.069 0.447 0.588 0.709 Reference group = low-performing students Beta1 = middle-performing students Beta2 – high-performing students Teachers’ likability Beta1 0.217* 0.087 0.041 0.220 0.408 Var.t 0.367 0.055 0.275 0.361 0.488 Var.jt 0.254 0.028 0.205 0.251 0.313 Var.ij 0.722 0.088 0.587 0.710 0.928 Var.ijt 0.564 0.064 0.471 0.552 0.717 Teachers’ teaching experience Beta1 0.054* 0.020 0.016 0.054 0.099 Var.t 0.366 0.055 0.273 0.361 0.489 Var.jt 0.256 0.029 0.206 0.255 0.318 Var.ij 0.745 0.093 0.577 0.741 0.940 Var.ijt 0.583 0.067 0.459 0.580 0.721 Average class grade Beta1 0.079* 0.035 0.018 0.077 0.156 Var.t 0.366 0.274 0.361 0.486 Var.jt 0.249 0.202 0.247 0.306 Var.ij 0.688 0.555 0.682 0.855 Var.ijt 0.536 0.443 0.532 0.644 *Significant p < 0.05 3.4.3 Non-significant results Table 3.6 presents the regression coefficients, the standard deviation, and the 95% confidence interval of the intercepts of the models with nonsignificant results. No variance components were given in this table, as effects were not statistically significant and therefore no variance had to be explained. No statistically significant effect on students’ Impact! results was found for student and teacher gender, teacher age, the measurement timing (whether student feedback was collected in the morning or in the afternoon), class size, and ethnic diversity of the class.
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