The Yes/No test as a measure of receptive vocabulary knowledge
By kira Mochida, Michael Harrington. 2006
141 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Developmental and Educational Psychology
View Paper: https://www.semanticscholar.org/paper/4d6b40cf84ab49bfeab2aa1bae57ff4bd6b482bc
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
- N. Schmitt
- A. Pellicer‐Sánchez
- Stuart Mclean
- W. Grabe
- J. Stewart
- A. Batty
- Mirjam Broersma
- Kristin Lemhofer
In Developmental and Educational Psychology
- A. Pellicer‐Sánchez
- N. Schmitt
- Stuart Mclean
- W. Grabe
- J. Stewart
- A. Batty
- Xiangying Jiang
- Mirjam Broersma
Citations in the corpus
- Predicting L2 reading proficiency with modalities of vocabulary knowledge: A bootstrapping approach (2020, background): “A drawback of the modality is that despite the wealth of proposed scoring formulas to detect false positives, it is still unclear how effective these formulas are (Huibregtse, Admiraal, & Meara, 2002; Mochida & Harrington, 2006).”
- The Percentage of Words Known in a Text and Reading Comprehension. (2011, background): “However, it is still unclear how well the adjustment formulas work (Huibregtse, Admiraal, & Meara, 2002; Mochida & Harrington, 2006), so we decided to simply delete participants from the data set who chose too many nonwords, which made their vocabulary scores unreliable.”
- Scoring Yes–No vocabulary tests: Reaction time vs. nonword approaches (2012, background): “No test format is time and resource efficient (Mochida & Harrington, 2006).”
- Introducing LexTALE: A quick and valid Lexical Test for Advanced Learners of English (2011, result): “The results were mixed: For instance, Cameron (2002) did not find significant correlations between the two test types, while Mochida and Harrington (2006) reported high correlations of above .80.”