| Literature DB >> 31709070 |
Cristina Barbu1, Audrey Gonzalez1, Sophie Gillet1, Martine Poncelet1.
Abstract
Early bilingualism has been shown to improve attentional and executive functioning. Nicolay and Poncelet (2013a, 2015) have shown that an early immersion program in school of 3 years improves the completion of tasks assessing these skills. This study aimed to determine whether similar benefits might be present after only 1 year of immersion education. The study also observed whether these potential advantages might also have a positive effect on the academic achievement. Participants included 59 immersed children and 57 monolingual controls. The two groups were compared using the same tasks as those employed by Nicolay and Poncelet (2015). The immersed children showed faster responses in comparison to monolinguals on the selective auditory task. No significant differences were observed on the other attentional, executive, or academic tasks. These outcomes suggest that a period of immersion education as short as 1 year can yield cognitive advantages associated with bilingualism. Copyright:Entities:
Keywords: Bilingualism; attentional functioning; early immersion education; executive functioning; improved selective auditory skills
Year: 2019 PMID: 31709070 PMCID: PMC6813428 DOI: 10.5334/pb.469
Source DB: PubMed Journal: Psychol Belg ISSN: 0033-2879
Descriptive, inferential, and Bayesian statistics, as well as mean comparisons for age, receptive vocabulary knowledge (for a French-receptive vocabulary), and non-verbal intelligence.
| Immersed | Monolinguals | Inferential statistics | Bayesian statistics | |||||
|---|---|---|---|---|---|---|---|---|
| N = 59 Mean (SD) | N = 57 Mean (SD) | T-Value | p | BF10 | BF10 (error %) | BF01 | BF01 (error %) | |
| Age (months) | 79.47 (3.67) | 80.07 (3.42) | –0.90 | 0.36 | 0.28 | 0.004 | 3.51 | 0.004 |
| French-receptive vocabulary (max = 170) | 83.10 (12.51) | 84.87 (16.39) | –0.65 | 0.51 | 0.24 | 0.001 | 4.17 | 0.001 |
| Non-verbal intelligence (max = 36) | 22.33 (4.40) | 22.31 (4.48) | 0.02 | 0.97 | 0.19 | 0.001 | 5.06 | 0.001 |
Contingency table for video game, sport and music practice.
| Video game practice X2 (4) = 0.88, p = 0.92 | Sport practice X2 (4) = 3.80, p = 0.43 | Music practice X2 (3) = 1.64, p = 0.65 | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 1 | 2 | 3 | 4 | 0 | 1 | 2 | 3 | 4 | 0 | 1 | 2 | 3 | 4 | |
| I | 12 | 10 | 20 | 14 | 3 | 6 | 3 | 9 | 25 | 16 | 48 | 1 | 4 | 6 | 0 |
| N | 14 | 11 | 15 | 14 | 3 | 8 | 0 | 7 | 28 | 14 | 49 | 0 | 2 | 6 | 0 |
Legend: I = immersed; M = monolinguals; 0 = no practice; 1 = very little or little practice; 2 = mean practice; 3 = frequent practice; 4 = very frequent practice.
Contingency table for SES status.
| SES status | ||||
|---|---|---|---|---|
| 0 | 1 | 2 | 3 | |
| I | 0 | 20 | 23 | 16 |
| N | 1 | 26 | 16 | 14 |
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).
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 |
Descriptive, inferential, and Bayesian statistics for measures of alerting, selective auditory attention, divided attention, and cognitive flexibility.
| Immersed | Monolinguals | Inferential statistics | Bayesian statistics | ||||||
|---|---|---|---|---|---|---|---|---|---|
| T-Value | p | Effect Size (Cohen’s d) | BF10 | BF10 (error %) | BF01 | BF01 (error %) | |||
| Alerting (RT) | 375.62 (91.06) | 378.17 (67.05) | –0.17 | 0.86 | 0.00 | 0.22 | ~0.021 | 4.42 | ~0.021 |
| Auditory attention (RT) | 817.20 (141.93) | 875.36 (152.49) | –2.12 | 0.03* | 0.03 | 2.90 | ~0.003 | 0.34 | ~0.003 |
| Divided attention (RT) | 774.89 (90.24) | 782.66 (110.82) | –0.41 | 0.67 | 0.00 | 0.27 | ~3.474e -5 | 3.59 | ~3.474e -5 |
| Cognitive flexibility (RT) | 1366.62 (331.58) | 1277.52 (299.57) | 1.51 | 0.13 | 0.01 | 0.08 | ~0.003 | 1.85 | ~0.003 |
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.
Descriptive, inferential, and Bayesian statistics for subtraction and addition operations.
| Immersed | Monolinguals | Inferential statistics | Bayesian statistics | ||||||
|---|---|---|---|---|---|---|---|---|---|
| T-Value | p | Effect Size (Cohen’s d) | BF10 | BF10 (error %) | BF01 | BF01 (error %) | |||
| Arithmetic skills-Addition (CR) | 7.84 (2.37) | 8.80 (2.94) | –1.93 | 0.055 | 0.03 | 1.05 | ~4.589e -6 | 0.95 | ~4.589e -6 |
| Arithmetic skills-Subtraction (CR) | 6.50 (2.91) | 6.75 (2.86) | –0.45 | 0.64 | 0.00 | 0.21 | ~2.474e -5 | 4.60 | ~2.474e -5 |
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.