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Cognitive Advantage in Children Enrolled in a Second-Language Immersion Elementary School Program for One Year Cover

Cognitive Advantage in Children Enrolled in a Second-Language Immersion Elementary School Program for One Year

Open Access
|Oct 2019

Figures & Tables

Table 1

Descriptive, inferential, and Bayesian statistics, as well as mean comparisons for age, receptive vocabulary knowledge (for a French-receptive vocabulary), and non-verbal intelligence.

ImmersedMonolingualsInferential statisticsBayesian statistics
N = 59 Mean (SD)N = 57 Mean (SD)T-ValuepBF10BF10 (error %)BF01BF01 (error %)
Age (months)79.47 (3.67)80.07 (3.42)–0.900.360.280.0043.510.004
French-receptive vocabulary (max = 170)83.10 (12.51)84.87 (16.39)–0.650.510.240.0014.170.001
Non-verbal intelligence (max = 36)22.33 (4.40)22.31 (4.48)0.020.970.190.0015.060.001
Table 2

Contingency table for video game, sport and music practice.

Video game practice X2 (4) = 0.88, p = 0.92Sport practice X2 (4) = 3.80, p = 0.43Music practice X2 (3) = 1.64, p = 0.65
012340123401234
I1210201436392516481460
N1411151438072814490260

[i] Legend: I = immersed; M = monolinguals; 0 = no practice; 1 = very little or little practice; 2 = mean practice; 3 = frequent practice; 4 = very frequent practice.

Table 3

Contingency table for SES status.

SES status
X2 (3) = 3.13, p = 0.37
0123
I0202316
N1261614

[i] Legend: I = immersed; M = monolinguals; 0 = low (no professional qualifications at all); 1 = medium (elementary school qualifications of up to 12 years of years of study); 2 = high (high qualifications of up to 15 years of study; 3 = very high (superior qualifications of at least 17 years of study).

Table 4

Descriptive statistics for the immersion group for English vocabulary knowledge.

Mean (SD)Range
Productive English vocabulary knowledge (Max = 135)40.69 (21.90)11–103
Receptive English vocabulary knowledge (Max = 135)92.30 (22.50)42–130
Table 5

Descriptive, inferential, and Bayesian statistics for measures of alerting, selective auditory attention, divided attention, and cognitive flexibility.

Immersed
N = 59 Mean (SD)
Monolinguals
N = 57 Mean (SD)
Inferential statisticsBayesian statistics
T-ValuepEffect Size (Cohen’s d)BF10BF10 (error %)BF01BF01 (error %)
Alerting (RT)375.62 (91.06)378.17 (67.05)–0.170.86  0.000.22~0.0214.42~0.021
Auditory attention (RT)817.20 (141.93)875.36 (152.49)–2.120.03*0.032.90~0.0030.34~0.003
Divided attention (RT)774.89 (90.24)782.66 (110.82)–0.410.67  0.000.27~3.474e -53.59~3.474e -5
Cognitive flexibility (RT)1366.62 (331.58)1277.52 (299.57)1.510.13  0.010.08~0.0031.85~0.003

[i] df = 114.

RT = Reaction times.

BF10 = Bayes factor for the alternative hypothesis vs. the null hypothesis.

BF01 = Bayes factor for the null hypothesis vs. the alternative hypothesis.

Table 6

Descriptive, inferential, and Bayesian statistics for subtraction and addition operations.

Immersed
N = 59 Mean (SD)
Monolinguals
N = 57 Mean (SD)
Inferential statisticsBayesian statistics
T-ValuepEffect Size (Cohen’s d)BF10BF10 (error %)BF01BF01 (error %)
Arithmetic skills-Addition (CR)7.84 (2.37)8.80 (2.94)–1.930.0550.031.05~4.589e -60.95~4.589e -6
Arithmetic skills-Subtraction (CR)6.50 (2.91)6.75 (2.86)–0.450.640.000.21~2.474e -54.60~2.474e -5

[i] df = 114.

CR = correct responses.

BF10 = Bayes factor for the alternative hypothesis vs. the null hypothesis.

BF01 = Bayes factor for the null hypothesis vs. the alternative hypothesis.

DOI: https://doi.org/10.5334/pb.469 | Journal eISSN: 0033-2879
Language: English
Submitted on: Jul 3, 2018
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Accepted on: Oct 2, 2019
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Published on: Oct 21, 2019
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2019 Cristina Barbu, Audrey Gonzalez, Sophie Gillet, Martine Poncelet, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.