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PubMed Central
Other literature type . 2023
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Journal of Educational Measurement
Article . 2023 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
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Information Functions of Rank‐2PL Models for Forced‐Choice Questionnaires

Authors: Jianbin Fu; Xuan Tan; Patrick C. Kyllonen;

Information Functions of Rank‐2PL Models for Forced‐Choice Questionnaires

Abstract

AbstractThis paper presents the item and test information functions of the Rank two‐parameter logistic models (Rank‐2PLM) for items with two (pair) and three (triplet) statements in forced‐choice questionnaires. The Rank‐2PLM model for pairs is the MUPP‐2PLM (Multi‐Unidimensional Pairwise Preference) and, for triplets, is the Triplet‐2PLM. Fisher's information and directional information are described, and the test information for Maximum Likelihood (ML), Maximum A Posterior (MAP), and Expected A Posterior (EAP) trait score estimates is distinguished. Expected item/test information indexes at various levels are proposed and plotted to provide diagnostic information on items and tests. The expected test information indexes for EAP scores may be difficult to compute due to a typical test's vast number of item response patterns. The relationships of item/test information with discrimination parameters of statements, standard error, and reliability estimates of trait score estimates are discussed and demonstrated using real data. Practical suggestions for checking the various expected item/test information indexes and plots are provided.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
Green