Relationship between implicit learning and reading development in young bilingual children (doi:10.21979/N9/HFKLUY)

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Part 1: Document Description
Part 2: Study Description
Part 3: Data Files Description
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Document Description

Citation

Title:

Relationship between implicit learning and reading development in young bilingual children

Identification Number:

doi:10.21979/N9/HFKLUY

Distributor:

DR-NTU (Data)

Date of Distribution:

2024-04-22

Version:

1

Bibliographic Citation:

Chan, Alice H. D, 2024, "Relationship between implicit learning and reading development in young bilingual children", https://doi.org/10.21979/N9/HFKLUY, DR-NTU (Data), V1, UNF:6:VLu3t3aH7joUNZmB0eN+Qw== [fileUNF]

Study Description

Citation

Title:

Relationship between implicit learning and reading development in young bilingual children

Identification Number:

doi:10.21979/N9/HFKLUY

Authoring Entity:

Chan, Alice H. D (Nanyang Technological University)

Software used in Production:

SPSS

Grant Number:

MOE2019-T2-1-125

Distributor:

DR-NTU (Data)

Access Authority:

Chan, Alice H. D

Depositor:

Lau, Fun

Date of Deposit:

2024-04-22

Holdings Information:

https://doi.org/10.21979/N9/HFKLUY

Study Scope

Keywords:

Arts and Humanities, Arts and Humanities, Statistical learning, Implicit learning, Reading

Abstract:

In this project we examine the relationship between implicit learning and reading development in English-Chinese bilingual children. Through examination of their performance in the implicit learning task and in a large battery of language measures, we aim to elucidate the mechanism through which implicit learning contributes to reading development in different languages, and determine if its contribution changes across time.

Kind of Data:

Experiment aggregate data

Notes:

Project Title: Predicting Reading (Dis)Ability: Advancing Early Intervention (MOE2019-T2-1-125)

Methodology and Processing

Sources Statement

Data Access

Other Study Description Materials

File Description--f137611

File: CNL_ImplicitLearning_Longitudinal.tab

  • Number of cases: 70

  • No. of variables per record: 38

  • Type of File: text/tab-separated-values

Notes:

UNF:6:Rknwp9Cw5uK/hWUOMwl+DA==

File Description--f137612

File: CNL_ImplicitLearning_Master.tab

  • Number of cases: 142

  • No. of variables per record: 29

  • Type of File: text/tab-separated-values

Notes:

UNF:6:zBb1/osWJQUut8kihXayjQ==