Abstract
In this paper, an improved polytomous item relational structure theory based on Q-matrix theory is proposed, using Tatsuoka's Q-matrix theory, we can construct the test with all efficient items which are fitting in with the given relational structure of cognitive attributes, and then, before the test, using Liu's before-test item ordering theory, an ideal relational structural graph of itemscan be constructed, and the real efficient items can be obtained accordingly. After testing the students, an after-test structure of items can be estimated by using the Liu's polytomous item relational structure theory. Furthermore, using Liu's criterion related validity index, we can evaluate the estimated item relational structure of the test, and the results could be useful for cognitive diagnosis and remedial instruction.
| Original language | English |
|---|---|
| Title of host publication | Information, Communication and Engineering |
| Pages | 93-98 |
| Number of pages | 6 |
| DOIs | |
| Publication status | Published - 2013 Mar 19 |
| Event | 2012 International Conference on Information, Communication and Engineering, ICICE 2012 - Fuzhou, Taiwan Duration: 2012 Dec 15 → 2012 Dec 20 |
Publication series
| Name | Applied Mechanics and Materials |
|---|---|
| Volume | 311 |
| ISSN (Print) | 1660-9336 |
| ISSN (Electronic) | 1662-7482 |
Other
| Other | 2012 International Conference on Information, Communication and Engineering, ICICE 2012 |
|---|---|
| Country | Taiwan |
| City | Fuzhou |
| Period | 12-12-15 → 12-12-20 |
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All Science Journal Classification (ASJC) codes
- Engineering(all)
Cite this
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Liu's polytomous item relational structure theory based on Q-matrix theory. / Liu, Hsiang Chuan; Jeng, Bai Cheng; Tsai, Hsien-Chang; Yu, Yen Kuei; Lu, Ching Yu.
Information, Communication and Engineering. 2013. p. 93-98 (Applied Mechanics and Materials; Vol. 311).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Liu's polytomous item relational structure theory based on Q-matrix theory
AU - Liu, Hsiang Chuan
AU - Jeng, Bai Cheng
AU - Tsai, Hsien-Chang
AU - Yu, Yen Kuei
AU - Lu, Ching Yu
PY - 2013/3/19
Y1 - 2013/3/19
N2 - In this paper, an improved polytomous item relational structure theory based on Q-matrix theory is proposed, using Tatsuoka's Q-matrix theory, we can construct the test with all efficient items which are fitting in with the given relational structure of cognitive attributes, and then, before the test, using Liu's before-test item ordering theory, an ideal relational structural graph of itemscan be constructed, and the real efficient items can be obtained accordingly. After testing the students, an after-test structure of items can be estimated by using the Liu's polytomous item relational structure theory. Furthermore, using Liu's criterion related validity index, we can evaluate the estimated item relational structure of the test, and the results could be useful for cognitive diagnosis and remedial instruction.
AB - In this paper, an improved polytomous item relational structure theory based on Q-matrix theory is proposed, using Tatsuoka's Q-matrix theory, we can construct the test with all efficient items which are fitting in with the given relational structure of cognitive attributes, and then, before the test, using Liu's before-test item ordering theory, an ideal relational structural graph of itemscan be constructed, and the real efficient items can be obtained accordingly. After testing the students, an after-test structure of items can be estimated by using the Liu's polytomous item relational structure theory. Furthermore, using Liu's criterion related validity index, we can evaluate the estimated item relational structure of the test, and the results could be useful for cognitive diagnosis and remedial instruction.
UR - http://www.scopus.com/inward/record.url?scp=84874979098&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84874979098&partnerID=8YFLogxK
U2 - 10.4028/www.scientific.net/AMM.311.93
DO - 10.4028/www.scientific.net/AMM.311.93
M3 - Conference contribution
AN - SCOPUS:84874979098
SN - 9783037856727
T3 - Applied Mechanics and Materials
SP - 93
EP - 98
BT - Information, Communication and Engineering
ER -