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Using Rasch Tree to Detect Uniform D...
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Jeffers, Heather .
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Using Rasch Tree to Detect Uniform Differential Item Functioning and Item Difficulty Parameters in the Progress in International Reading Literacy Data (Pirls).
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Using Rasch Tree to Detect Uniform Differential Item Functioning and Item Difficulty Parameters in the Progress in International Reading Literacy Data (Pirls)./
作者:
Jeffers, Heather .
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2020,
面頁冊數:
76 p.
附註:
Source: Dissertations Abstracts International, Volume: 81-12, Section: B.
Contained By:
Dissertations Abstracts International81-12B.
標題:
Educational psychology. -
電子資源:
https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27835536
ISBN:
9798645493585
Using Rasch Tree to Detect Uniform Differential Item Functioning and Item Difficulty Parameters in the Progress in International Reading Literacy Data (Pirls).
Jeffers, Heather .
Using Rasch Tree to Detect Uniform Differential Item Functioning and Item Difficulty Parameters in the Progress in International Reading Literacy Data (Pirls).
- Ann Arbor : ProQuest Dissertations & Theses, 2020 - 76 p.
Source: Dissertations Abstracts International, Volume: 81-12, Section: B.
Thesis (Ph.D.)--Ball State University, 2020.
This item must not be sold to any third party vendors.
This study presents an alternative method, Rasch Tree, for detecting differential item functioning and item difficulty parameters with an existing dataset, the Progress in International Reading Literacy Data (PIRLS). At present, there are methods of DIF detection, but each method has shortcomings and struggles depending on the dataset. Rasch Tree is presented as a method which may be able to detect both DIF and difficulty parameters in a dataset with multiple variables, both dichotomous and ordinal, as well as interactions between all variables included, without having to fit multiple models or pre-set cut-points. Rasch Tree was able to not only detect DIF and item difficulty for a dichotomous variable, but was also able to detect interactions between a dichotomous variable and multiple ordinal variables.
ISBN: 9798645493585Subjects--Topical Terms:
517650
Educational psychology.
Subjects--Index Terms:
Rasch Tree
Using Rasch Tree to Detect Uniform Differential Item Functioning and Item Difficulty Parameters in the Progress in International Reading Literacy Data (Pirls).
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This study presents an alternative method, Rasch Tree, for detecting differential item functioning and item difficulty parameters with an existing dataset, the Progress in International Reading Literacy Data (PIRLS). At present, there are methods of DIF detection, but each method has shortcomings and struggles depending on the dataset. Rasch Tree is presented as a method which may be able to detect both DIF and difficulty parameters in a dataset with multiple variables, both dichotomous and ordinal, as well as interactions between all variables included, without having to fit multiple models or pre-set cut-points. Rasch Tree was able to not only detect DIF and item difficulty for a dichotomous variable, but was also able to detect interactions between a dichotomous variable and multiple ordinal variables.
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