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A Multilevel Testlet Joint Model of ...

Olson, Evan D.,

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A Multilevel Testlet Joint Model of Responses and Response Time /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	A Multilevel Testlet Joint Model of Responses and Response Time // Evan D Olson.
作者:	Olson, Evan D.,
面頁冊數:	1 electronic resource (161 pages)
附註:	Source: Dissertations Abstracts International, Volume: 82-05, Section: A.
Contained By:	Dissertations Abstracts International82-05A.
標題:	Educational tests & measurements. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27998004
ISBN:	9798678188779

A Multilevel Testlet Joint Model of Responses and Response Time /
Olson, Evan D.,

A Multilevel Testlet Joint Model of Responses and Response Time /Evan D Olson. - 1 electronic resource (161 pages)

Source: Dissertations Abstracts International, Volume: 82-05, Section: A.

In approaches to joint response and response time (RT) modeling there is an assumption of conditional independence of the responses and the RTs. Further, in IRT modeling of the responses, there is the assumption that the items and the persons have local independence, respectively. In practice, violations of the local item independence results from the bundling of items into testlets. Violation of the person independence are encountered in complex examinee sampling situations. A multilevel testlet joint responses and RT model is proposed and evaluated in this study that accounts for the dual local item and person dependence due to testlets and complex sampling. A simulation study is performed to investigate parameter recovery for the proposed model and provide comparison to models that do not model dual local dependencies. In addition to the simulation study, a study using empirical data is also conducted to evaluate relative model fit indices.Generally, results determined by statistical analyses and inspection of graphs developed from descriptive statistics supported the need to model local item dependency and local person dependency. Parameter recovery outcome measures in the simulation study showed interaction of factors included with the model factor when the comparison models were included. When deviance model fit criterion was applied the proposed model was selected as the best-fitting model. For the Bayesian model fit index DIC the proposed model was not selected as best-fitting in for either the simulation or the empirical data analyses. Limitations of the study and opportunities to refine joint response and RT modeling of this dual dependency were elaborated.

English

ISBN: 9798678188779Subjects--Topical Terms:

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

IRT

A Multilevel Testlet Joint Model of Responses and Response Time /
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300 $a 1 electronic resource (161 pages)
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500 $a Source: Dissertations Abstracts International, Volume: 82-05, Section: A.
500 $a Advisors: Jiao, Hong Committee members: Lissitz, Robert W.; Mislevy, Robert J.; Steiner, Peter M.; Li, Yan.
502 $b Ph.D. $c University of Maryland, College Park $d 2020.
520 $a In approaches to joint response and response time (RT) modeling there is an assumption of conditional independence of the responses and the RTs. Further, in IRT modeling of the responses, there is the assumption that the items and the persons have local independence, respectively. In practice, violations of the local item independence results from the bundling of items into testlets. Violation of the person independence are encountered in complex examinee sampling situations. A multilevel testlet joint responses and RT model is proposed and evaluated in this study that accounts for the dual local item and person dependence due to testlets and complex sampling. A simulation study is performed to investigate parameter recovery for the proposed model and provide comparison to models that do not model dual local dependencies. In addition to the simulation study, a study using empirical data is also conducted to evaluate relative model fit indices.Generally, results determined by statistical analyses and inspection of graphs developed from descriptive statistics supported the need to model local item dependency and local person dependency. Parameter recovery outcome measures in the simulation study showed interaction of factors included with the model factor when the comparison models were included. When deviance model fit criterion was applied the proposed model was selected as the best-fitting model. For the Bayesian model fit index DIC the proposed model was not selected as best-fitting in for either the simulation or the empirical data analyses. Limitations of the study and opportunities to refine joint response and RT modeling of this dual dependency were elaborated.
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590 $a School code: 0117
650 4 $a Educational tests & measurements. $3 3168483
653 $a IRT
653 $a Response time
653 $a Testlet
653 $a Conditional independence
653 $a Joint response
690 $a 0288
710 2 $a University of Maryland, College Park. $b Measurement, Statistics and Evaluation. $e degree granting institution. $3 3819421
720 1 $a Jiao, Hong $e degree supervisor.
773 0 $t Dissertations Abstracts International $g 82-05A.
790 $a 0117
791 $a Ph.D.
792 $a 2020
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27998004