Page 181 - Second language development of newly arrived migrant kindergarteners - Frederike Groothoff
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The influence of the school learning environment 181   6 5 4 3 2 1 0 Growth MLR Within 80% - Within 80% + Between 80% - Between 80% +                 Age in Months Figure 8.5: Graphical Representation of the General Development Model Measure of Lexical Richness (114 cases) with 80% reliability. Figure 8.5 shows that the effect of Age on MLR score is significant. A likelihood ratio test showed that the main effect of Positive Climate (MLRf) did not contribute to the fit of the model to the observed data. However, the interaction between Age and Positive Climate (ΔΧ2 (MLRg) = 3.90; df = 1; p = .048; see Table 8.7) did improve the model significantly. Table 8.7: Fit of Different Polynomials (-2LL) for Changes in MLR score (114 cases) with the Addition of Positive Climate (PosCli) as Explanatory Variable.    Model MLRb: β0ijcons + β1Age1ij MLRf: MLRb + β2PosCliij MLRg: MLRf + β3Age*PosCliij Comparison -2LL Models 518.33 515.65 MLRb vs MLRf 511.76 MLRf vs MLRg ΔΧ2 Δdf p 2.68 1 .10ns 3.90 1 .048          There was an interaction effect of Positive Climate, although the fixed main effect of Positive Climate was not significant. The significant interaction effect between Age and Positive Climate means that the relation between Age and MLR scores differs per score on Positive Climate. However, for the interpretation this interaction effect a word of caution is warranted as the standard errors in the last model appeared to be large. Therefore, we are not sure about the specific values for each parameter (See Table 6.5 in Appendix 6 with the estimated parameters). Since the fixed main effect of Positive Climate is not significant we can only say that the influence of Positive Climate is larger for younger pupils than for 51 54 57 60 63 66 69 72 75 78 81 84 87 90 93 96 99 102 Measure of Lexical Richness Score 


































































































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