Dataset supporting the University of Southampton Doctoral Thesis "The Role of Linguistic Input in Adult Grammars: Modelling L1 Morphosyntactic Attrition"
Dataset supporting the University of Southampton Doctoral Thesis "The Role of Linguistic Input in Adult Grammars: Modelling L1 Morphosyntactic Attrition"
Dataset supporting the University of Southampton Doctoral Thesis "The Role of Linguistic Input in Adult Grammars: Modelling L1 Morphosyntactic Attrition".
The data includes Acceptability Judgment Task (AJT) results and linguistic background information for three groups of L1 German speakers residing in either the Netherlands, UK or Spain ('potential attriters'), a group of L1 German control participants, and three groups of 'L2 controls' (one Dutch, English, and Spanish).
This dataset contains:
Three datasets used for the statistical models and plots presented in the thesis.
1) Attritionmaindf – data frame containing L1 AJT data for potential attriters, L1 controls and L2 controls as well as the linguistic background data used in the L1 attrition models.
2) Attriteronlydf – data frame containing L1 AJT data for potential attriters only, their linguistic background data used in statistical modelling as well as additional background data presented in the tables in the thesis.
3) L2acquisitiondf – data frame containing L2 AJT data for potential attriters and L1 data for L2 controls as well as linguistic background data used in the L2 acquisition model
Licence:
CC-BY-NC
Related projects/Funders:
The PhD thesis and data collection was fully funded by the UKRI Economic and Social Research Council (ESRC) (Grant Number: ES/P000673/1).
PhD thesis data, L1 attrition, L2 acquisition, Multilingualism, Generative SLA
University of Southampton
Baker, Lewis
cb5cfccb-fe33-4b9a-b3fa-1804bc48dad4
Baker, Lewis
cb5cfccb-fe33-4b9a-b3fa-1804bc48dad4
Baker, Lewis
(2027)
Dataset supporting the University of Southampton Doctoral Thesis "The Role of Linguistic Input in Adult Grammars: Modelling L1 Morphosyntactic Attrition".
University of Southampton
doi:10.5258/SOTON/D2811
[Dataset]
Abstract
Dataset supporting the University of Southampton Doctoral Thesis "The Role of Linguistic Input in Adult Grammars: Modelling L1 Morphosyntactic Attrition".
The data includes Acceptability Judgment Task (AJT) results and linguistic background information for three groups of L1 German speakers residing in either the Netherlands, UK or Spain ('potential attriters'), a group of L1 German control participants, and three groups of 'L2 controls' (one Dutch, English, and Spanish).
This dataset contains:
Three datasets used for the statistical models and plots presented in the thesis.
1) Attritionmaindf – data frame containing L1 AJT data for potential attriters, L1 controls and L2 controls as well as the linguistic background data used in the L1 attrition models.
2) Attriteronlydf – data frame containing L1 AJT data for potential attriters only, their linguistic background data used in statistical modelling as well as additional background data presented in the tables in the thesis.
3) L2acquisitiondf – data frame containing L2 AJT data for potential attriters and L1 data for L2 controls as well as linguistic background data used in the L2 acquisition model
Licence:
CC-BY-NC
Related projects/Funders:
The PhD thesis and data collection was fully funded by the UKRI Economic and Social Research Council (ESRC) (Grant Number: ES/P000673/1).
Text
L2acquisitiondf_repository.csv
- Dataset
Restricted to System admin until 7 March 2027.
Text
Attriteronlydf_repository.csv
- Dataset
Restricted to System admin until 7 March 2027.
Text
Attritionmaindf_repository.csv
- Dataset
Restricted to System admin until 7 March 2027.
Text
D2811_thesis_readme.txt
- Dataset
Restricted to System admin until 7 March 2027.
More information
Published date: March 2027
Keywords:
PhD thesis data, L1 attrition, L2 acquisition, Multilingualism, Generative SLA
Identifiers
Local EPrints ID: 487874
URI: http://eprints.soton.ac.uk/id/eprint/487874
PURE UUID: 787961f7-6a1a-4067-81df-fc74fe7d166f
Catalogue record
Date deposited: 08 Mar 2024 17:30
Last modified: 09 Mar 2024 03:02
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