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Continuous Effect Loglinear Diagnostic Classification Model : = Using a General Continuous Effect to Track Student Ability Estimates.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Continuous Effect Loglinear Diagnostic Classification Model :/
其他題名:	Using a General Continuous Effect to Track Student Ability Estimates.
作者:	Haab, Sergio.
面頁冊數:	1 online resource (57 pages)
附註:	Source: Masters Abstracts International, Volume: 85-03.
Contained By:	Masters Abstracts International85-03.
標題:	Educational tests & measurements. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30567917click for full text (PQDT)
ISBN:	9798380164788

Continuous Effect Loglinear Diagnostic Classification Model : = Using a General Continuous Effect to Track Student Ability Estimates.
Haab, Sergio.

Continuous Effect Loglinear Diagnostic Classification Model :Using a General Continuous Effect to Track Student Ability Estimates. - 1 online resource (57 pages)

Source: Masters Abstracts International, Volume: 85-03.

Thesis (M.A.)--University of Georgia, 2023.

Includes bibliographical references

The continuous effect loglinear diagnostic classification model (CE-LCDM) is an attempt to combine elements of Item Response Theory with Diagnostic Classification Modeling. This would theoretically allow models to both scale and classify students while providing more accurate classification main effects. The model will be compared against the standard LCDM and evaluated using a simulation study and an empirical analysis. The simulation will analyze the effects of number of attributes, sample size, continuous effect weight, and number of items per attribute. The LCDM is a very robust model that maintained better accuracy and reliability throughout; however, model selection criteria tended to favor the CE-LCDM. In the empirical analysis, all the criteria favored the CE-LCDM. These findings suggest that there may actually be a continuous effect present in most real data that can and should be taken into consideration for real-world application.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9798380164788Subjects--Topical Terms:

3168483
Educational tests & measurements.
Subjects--Index Terms:

2-PLIndex Terms--Genre/Form:

542853
Electronic books.

Continuous Effect Loglinear Diagnostic Classification Model : = Using a General Continuous Effect to Track Student Ability Estimates.
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500 $a Source: Masters Abstracts International, Volume: 85-03.
500 $a Advisor: Madison, Matthew.
502 $a Thesis (M.A.)--University of Georgia, 2023.
504 $a Includes bibliographical references
520 $a The continuous effect loglinear diagnostic classification model (CE-LCDM) is an attempt to combine elements of Item Response Theory with Diagnostic Classification Modeling. This would theoretically allow models to both scale and classify students while providing more accurate classification main effects. The model will be compared against the standard LCDM and evaluated using a simulation study and an empirical analysis. The simulation will analyze the effects of number of attributes, sample size, continuous effect weight, and number of items per attribute. The LCDM is a very robust model that maintained better accuracy and reliability throughout; however, model selection criteria tended to favor the CE-LCDM. In the empirical analysis, all the criteria favored the CE-LCDM. These findings suggest that there may actually be a continuous effect present in most real data that can and should be taken into consideration for real-world application.
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538 $a Mode of access: World Wide Web
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650 4 $a Mathematics education. $3 641129
650 4 $a Educational psychology. $3 517650
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653 $a Continuous effect
653 $a Empirical analysis
653 $a Hybrid model
653 $a LCDM
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