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. 167–190
Chapter 9Variability analysis using CAF measures
Published online: 11 September 2025
https://doi.org/10.1075/rmal.14.09wu
https://doi.org/10.1075/rmal.14.09wu
Abstract
This chapter examines potential challenges for
longitudinal L2 studies using quantitative CAF (complexity, accuracy, and
fluency) measures. For a period of 13 months, we followed the CAF
development of two L2 English students, collecting multiple samples at each
monthly data point for several CAF measures with different levels of
reliability. We then plotted multiple developmental trajectories by randomly
selecting one single result from each time point. Comparing the resulting
trajectories for high-, medium-, and low-reliability CAF measures,
noticeably different developmental paths emerged for low-reliability
measures for the same measure and participant. These distinct trajectories
confirm that low-reliability measures are inadequate for capturing
meaningful variability (Wu et al.,
2023; Wu, 2025) when
measured only once at each data point.
Article outline
- Introduction
- Methodological review of variability analyses using CAF measures
- The reliability issue of CAF measures
- Variability shown by CAF measures with different levels of reliability
- The empirical study
- Methods
- Participants
- Ethical considerations in longitudinal dense data collection
- Data collection procedures
- Data analysis and visualization
- Results
- Variability of high-, medium-, and low-reliability CAF measures
- Developmental trajectories drawn from single-sample assessments
- Methods
- Affordances and limitations of using CAF measures in variability analysis
- Implications for Future CDST-Inspired research
- Conclusion
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