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ID 45308
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title alternative
The Type II Signal Detection Model in Foreign Language Teaching Research: Some Basics and Bayesian Modeling
creator
NDC
Education
abstract
This paper introduces the type II signal detection model as a means of modeling metacognitive sensitivity of foreign language learners. Foreign language teaching researchers have paid much attention to the conceptual aspects of metacognitive sensitivity, but not to its mathematical formulation and measurement models, while cognitive and mathematical psychologies have voluminous literature on how to model judgment behaviors mathematically. Among mathematical models of judgment behaviors, this paper particularly focuses on the type II signal detection model, one of the most dominant practices of modeling metacognitive sensitivity. The model is nothing but an application of the equal-variance Gaussian signal detection model to type II tasks such as trial-by-trial binary confidence rating during a stimulus discrimination task, which usually corresponds to type I tasks. The model basically calculates two indices, (a) type II d’ or metacognitive sensitivity and (b) type II biases or metacognitive biases, based on type II response categories below: (a) type II hit, (b) type II false alarm, (c) type II miss, and (d) type II correct rejection. By reviewing such mathematical basics and showing a computation of the model in a Bayesian manner with some numerical examples, this paper claims that the type II signal detection model can be a potentially beneficial tool for foreign language teaching researchers.
journal title
Hiroshima Studies in Language and Language Education
issue
Issue 21
start page
169
end page
185
date of issued
2018-03-01
publisher
広島大学外国語教育研究センター
issn
1347-0892
ncid
language
jpn
nii type
Departmental Bulletin Paper
HU type
Departmental Bulletin Papers
DCMI type
text
format
application/pdf
text version
publisher
rights
Copyright (c) 2018 広島大学外国語教育研究センター
department
Institute for Foreign Language Research and Education
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