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1) How do teachers create structure for engagement in foreign language classes?

7.3 Results

Table 7.1. Descriptive statistics for each separate condition.

ALT Absent No JTE HRT Leads (n=199)

ALT Present No JTE HRT support (n=199)

ALT Absent JTE Leads HRT support (n=137)

ALT Present JTE Support HRT support (n=137) Length of

explanation

Mean= 2.88 / SD= .78 Mean= 2.74 / SD= .77 Mean= 2.88 / SD= .81 Mean= 2.78 / SD= .72 Length of

explanation

Skew = -.39 Skew = -.26 Skew = -.52 Skew = -.46

Length of

explanation Kurtosis = 2.91 Kurtosis = 2.78 Kurtosis = 2.95 Kurtosis = 3.23 Length of

explanation

95% CI= 2.77 / 2.99 95% CI= 2.63 / 2.85 95% CI= 2.75 / 3.02 95% CI= 2.66 / 2.90 Clarity of

explanation

Mean= 3.56 / SD= .69 Mean= 3.40/SD= .78 Mean= 3.31/SD= .86 Mean= 3.31 / SD= .87 Clarity of

explanation

Skew =-1.24 Skew = -1.14 Skew = -1.14 Skew = -.97

Clarity of

explanation Kurtosis = 3.84 Kurtosis = 3.56 Kurtosis = 3.58 Kurtosis = 2.87 Clarity of

explanation

95% CI= 3.47 / 3.66 95% CI= 3.29 / 3.51 95% CI= 3.17 / 3.46 95% CI= 3.16 / 3.45 Pacing

Mean= 3.30 / SD= .80 Mean= 3.24 / SD= .81 Mean= 3.31 / SD= .80 Mean= 3.30 / SD= .69

Pacing Skew = -.94 Skew = -.88 Skew = -1.04 Skew = -.87

Pacing

Kurtosis = 3.43 Kurtosis = 3.20 Kurtosis = 3.57 Kurtosis = 4.04 Pacing

95% CI= 3.18 / 3.41 95% CI= 3.13 / 3.36 95% CI= 3.17 / 3.44 95% CI= 3.18 / 3.42 Classmates

engagement

Mean= 3.41 / SD= .74 Mean= 3.39 / SD= .80 Mean= 3.31 / SD= .81 Mean= 3.30 / SD= .77 Classmates

engagement

Skew = -1.10 Skew = -1.23 Skew = -1.05 Skew = -.95

Classmates

engagement Kurtosis = 3.67 Kurtosis = 3.94 Kurtosis = 3.31 Kurtosis = 3.52 Classmates

engagement

95% CI= 3.30 / 3.51 95% CI= 3.28 / 3.50 95% CI= 3.17 / 3.44 95% CI= 3.17 / 3.43 Emotional

support

Mean= 3.60 / SD= .65 Mean= 3.53 / SD= .71 Mean= 3.51 / SD= .78 Mean= 3.60 / SD=.69 Emotional

support

Skew = -1.77 Skew = -1.61 Skew = -1.73 Skew = -1.97 Emotional

support Kurtosis = 6.16 Kurtosis = 5.45 Kurtosis = 5.62 Kurtosis = 7.00 Emotional

support

95% CI= 3.51 / 3.69 95% CI= 3.43 / 3.63 95% CI= 3.38 / 3.64 95% CI= 3.48 / 3.71 Clear lesson

goals

Mean= 3.34 / SD= .82 Mean= 3.29 / SD= .75 Mean= 3.35 / SD= .76 Mean= 3.29 / SD=.74 Clear lesson

goals

Skew = -.98 Skew = -.88 Skew = -1.18 Skew = -.74

Clear lesson

goals Kurtosis = 3.52 Kurtosis = 3.49 Kurtosis = 4.27 Kurtosis = 2.93 Clear lesson

goals

95% CI= 3.23 / 3.46 95% CI= 3.18 / 3.39 95% CI= 3.22 / 3.48 95% CI= 3.17 / 3.42 Teachers’

affect when speaking Eng-lish

Mean= 3.62 / SD= .65 Mean= 3.68 / SD= .62 Mean= 3.46 / SD= .78 Mean= 3.59 / SD=.70 Teachers’

affect when speaking Eng-lish

Skew = -1.74 Skew = -2.16 Skew = -1.28 Skew = -1.80

Teachers’

affect when speaking

Eng-lish Kurtosis = 5.61 Kurtosis = 7.84 Kurtosis = 3.80 Kurtosis = 6.04 Teachers’

affect when speaking

Eng-lish 95% CI= 3.53 / 3.71 95% CI= 3.60 / 3.77 95% CI= 3.33 / 3.59 95% CI= 3.47 / 3.71 Teachers’

amount of English out-put

Mean= 2.97 / SD= .83 Mean= 3.50 / SD= .73 Mean= 3.24 / SD= .90 Mean= 3.62 / SD=.68 Teachers’

amount of English out-put

Skew = -1.04 Skew = -1.47 Skew = -1.10 Skew = -1.8377

Teachers’

amount of English

out-put Kurtosis = 3.32 Kurtosis = 4.83 Kurtosis = 3.39 Kurtosis = 5.86 Teachers’

amount of English

out-put 95% CI= 2.85 / 3.09 95% CI= 3.40 / 3.60 95% CI= 3.09 / 3.39 95% CI= 3.51 / 3.74 Spoken

Eng-lish output by Students

Mean= 2.78 / SD= .89 Mean= 2.88 / SD= .85 Mean= 2.92 / SD= .85 Mean= 2.80 / SD= .99 Spoken

Eng-lish output by Students

Skew = -.23 Skew = -.35 Skew = -.50 Skew = -.39

Spoken Eng-lish output by

Students Kurtosis = 2.26 Kurtosis = 2.38 Kurtosis = 2.74 Kurtosis = 2.12 Spoken

Eng-lish output by Students

95% CI= 2.65 / 2.90 95% CI= 2.74 / 3.02 95% CI= 2.80 / 3.04 95% CI= 2.63 / 2.96

At the univariate level, within-subjects repeated-measures factorial ANOVA tests found significant differences in effects on the condition of the frequency of teachers’ output for both ALTs, F(1, 671) = 59.63, p < .00, partial η2 = .15, and JTEs, F(1, 671) = 9.72, p < . 01, partial η2 = .03, but no significant interaction effects between the two. The R2 was calculated at .58, indicating that this model accounts for roughly 58% of the variance. Further

ANOVAs revealed between-subjects differences on teachers’ affect, F(1, 671) = 4.65, p = .03, partial η2 = .02, as well as within-subjects differences between when ALTs were present and not, F(1, 671) = 4.17, p = .04, partial η2 = .01. This model was shown to account for nearly 60% of the variance, R2 = .59. No significant differences were shown between students’

output for any of the conditions. The confidence interval for these conditions is also available in Table 1, indicating not only lack of statistical difference, but also strong overlap between groups.

7.3.2 Research Question 2) e. What differences in speaking output do students report in classes taught by native and non-native teachers?

A within-subjects ANOVA test found no significant differences in student self-reported output between classes taught by HRTs, ALTs, JTEs, or any combination of the above.

Results show no meaningful difference between individuals at schools with and without JTEs, F(1, 334) = .03, p = .87. Likewise classes taught by ALTs showed a similar lack of statistical signficance, F(1, 334) = .21, p = .65. Classes taught by ALTs and JTEs neared a significant effect, F(1, 334) = 3.40, p = .07, but based on the sample size, a non-significant result does not warrant further inspection. The mean, standard deviation, and confidence interval values displayed in Table 2 confirms the lack of difference in all conditions. While all results here were non-significant, similar to the above results, the model accounted for roughly 60% of the variance, R2 = .60.

7.3.3 Research Question 2) f. What effects do perceptions of each type of teachers’

spoken output have on students' reported speaking output?

A simultaneous multiple regression was used to test the relationship between the classroom environment and students’ spoken output. Results were run individually on the 4 grouping conditions. The resulting standardized beta coefficients for each group and variable can be

seen in Table 7.2. The findings consistently display a pattern of influence from teachers’

classroom environment and output frequency across the three contexts where the homeroom teacher is most involved in the lesson execution. The model R2 in each indicates that these variables explain between 7 and 16 percent of the variance associated with students’ spoken engagement.

The most consistent predictor of student output was the frequency of the teachers’

output, though it did not demonstrate a significant effect in classes led by all three teachers.

Likewise, clarity of lesson goal showed a significant relationship in schools without a JTE, but not in schools employing JTEs. None of the other hypothesized factors showed any influence on self-reported output, statistical or otherwise. In classes taught by HRTs alone, affect when speaking English significantly predicted output, though not in any other condition. Classes taught by all three teachers showed the weakest influence on students’

spoken output. The similarity of the beta values suggests similar effects across contexts.

Table 7.2. Self-reported spoken output against each of the predicted classroom variables.

Variable HRT alone (n = 199)

Standardized β HRT/ALT (n = 199)

Standardized β HRT/JTE (n = 137)

Standardized β HRT/JTE/ALT (n = 137) Standardized β

Explanation length .11 .06 -.10 -.11

Explanation clarity -.10 .03 -.11 .13

Pace of activities .01 .07 .04 .15

Peers’ engagement .01 -.05 .06 .06

Autonomy-Support .02 .03 .10 .09

Clear lesson goal .20** .26*** .13 .15

Teacher affect when

speaking English .19* .023 .06 .01

Frequency of Eng-lish output by

teacher .22** .21** .23** .06

R2 .192 .179 .127 .162

Adjusted R2 .158 .145 .072 .111

*p < .05, **p < .01, ***p < .001