In:Research Methods in Complex Dynamic Systems Theory Approaches to Second Language Development
Edited by Wander Lowie, Rosmawati and Vanessa De Wilde
[Research Methods in Applied Linguistics 14] 2025
► pp. 102–120
Chapter 6Using Granger Causality to investigate causes of change in L2 oral
development
Published online: 11 September 2025
https://doi.org/10.1075/rmal.14.06dew
https://doi.org/10.1075/rmal.14.06dew
Abstract
Complex Dynamic Systems Theory (CDST) approaches to
second language (L2) development have stressed that subsystems of language
are intertwined (De Bot et al.,
2007, Larsen-Freeman,
1997). A key challenge is accurately attributing causal
explanations and determining suitable statistical methods to study
relationships between linguistic processes, features, and forms within the
CDST framework. In this chapter, we propose Granger Causality to investigate
causes of change. This method quantitatively assesses to what extent one
time series is dragging the other along, suggesting that one is causally
prior to the other. We explored how this method can be used to assess
whether certain aspects of linguistic complexity can induce change in
others, thus serving as precursors or supporters in the relationship.
Article outline
- Introduction
- Granger Causality
- Using Granger
Causality in CDST approaches
to second language development - The empirical study
- Method
- Dataset 1
- Context of the study
- Participants
- Tasks and procedures
- Dataset 2
- Context of the study
- Participants
- Tasks and procedures
- Complexity measures
- Analysis
- Dataset 1
- Results
- Discussion of results
- Method
- Affordances and challenges of the method
- Conclusion
Note References
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