Bootstrapping in Applied Linguistics: Assessing its Potential Using Shared Data
By Luke Plonsky, Jesse Egbert, Geoffrey T. LaFlair. 2014
85 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Developmental and Educational Psychology
View Paper: https://www.semanticscholar.org/paper/0e6e9465cc9d1a9227c57020c6747a209d49a75e
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- T. Cobb
- Junya Fukuta
- Alex Boulton
- Maggie Charles
- Xian Zhang
- Songshan Zhang
- Sylviane Granger
- Magali Paquot
In Developmental and Educational Psychology
- T. Cobb
- Junya Fukuta
- Alex Boulton
- Maggie Charles
- Xian Zhang
- Songshan Zhang
- Sylviane Granger
- Magali Paquot
Citations in the corpus
- Effects of task repetition on learners’ attention orientation in L2 oral production (2016, methodology): “…conducted further analysis by ‘robust statistics’ (Larson-Hall & Herrington, 2010; Plonsky, Egbert & LaFlair, 2014), namely, bootstrapping,5 which ‘randomly resamples from an observed data set to produce a simulated but more stable and statistically accurate outcome’ (Plonsky et al., 2014, p. 1).”
- Corpus Use in Language Learning: A Meta-Analysis. (2017, background): “For comparison, Plonsky, Egbert, and Laflair (2015) had a positive return from 14% of authors contacted.”