PMID- 32879536
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20210702
IS  - 1552-3497 (Electronic)
IS  - 0146-6216 (Print)
IS  - 0146-6216 (Linking)
VI  - 44
IP  - 5
DP  - 2020 Jul
TI  - Robustness of Projective IRT to Misspecification of the Underlying 
      Multidimensional Model.
PG  - 362-375
LID - 10.1177/0146621620909894 [doi]
AB  - As a method to derive a "purified" measure along a dimension of interest from 
      response data that are potentially multidimensional in nature, the projective 
      item response theory (PIRT) approach requires first fitting a multidimensional 
      item response theory (MIRT) model to the data before projecting onto a dimension 
      of interest. This study aims to explore how accurate the PIRT results are when 
      the estimated MIRT model is misspecified. Specifically, we focus on using a 
      (potentially misspecified) two-dimensional (2D)-MIRT for projection because of 
      its advantages, including interpretability, identifiability, and computational 
      stability, over higher dimensional models. Two large simulation studies (I and 
      II) were conducted. Both studies examined whether the fitting of a 2D-MIRT is 
      sufficient to recover the PIRT parameters when multiple nuisance dimensions exist 
      in the test items, which were generated, respectively, under compensatory MIRT 
      and bifactor models. Various factors were manipulated, including sample size, 
      test length, latent factor correlation, and number of nuisance dimensions. The 
      results from simulation studies I and II showed that the PIRT was overall robust 
      to a misspecified 2D-MIRT. Smaller third and fourth simulation studies were done 
      to evaluate recovery of the PIRT model parameters when the correctly specified 
      higher dimensional MIRT or bifactor model was fitted with the response data. In 
      addition, a real data set was used to illustrate the robustness of PIRT.
CI  - (c) The Author(s) 2020.
FAU - Strachan, Tyler
AU  - Strachan T
AUID- ORCID: 0000-0002-3319-6332
AD  - The University of North Carolina at Greensboro, USA.
FAU - Ip, Edward
AU  - Ip E
AD  - Wake Forest School of Medicine, Winston-Salem, NC, USA.
FAU - Fu, Yanyan
AU  - Fu Y
AD  - Graduate Management Admission Council, Reston, VA, USA.
FAU - Ackerman, Terry
AU  - Ackerman T
AD  - The University of Iowa, Iowa City, USA.
FAU - Chen, Shyh-Huei
AU  - Chen SH
AD  - Wake Forest School of Medicine, Winston-Salem, NC, USA.
FAU - Willse, John
AU  - Willse J
AD  - The University of North Carolina at Greensboro, USA.
LA  - eng
GR  - P30 CA012197/CA/NCI NIH HHS/United States
PT  - Journal Article
DEP - 20200310
PL  - United States
TA  - Appl Psychol Meas
JT  - Applied psychological measurement
JID - 7905715
PMC - PMC7433385
OTO - NOTNLM
OT  - misspecification
OT  - multidimensional item response theory
OT  - projective item response theory
OT  - robustness
COIS- Declaration of Conflicting Interests: The author(s) declared no potential 
      conflicts of interest with respect to the research, authorship, and/or 
      publication of this article.
EDAT- 2020/09/04 06:00
MHDA- 2020/09/04 06:01
PMCR- 2021/07/01
CRDT- 2020/09/04 06:00
PHST- 2020/09/04 06:00 [entrez]
PHST- 2020/09/04 06:00 [pubmed]
PHST- 2020/09/04 06:01 [medline]
PHST- 2021/07/01 00:00 [pmc-release]
AID - 10.1177_0146621620909894 [pii]
AID - 10.1177/0146621620909894 [doi]
PST - ppublish
SO  - Appl Psychol Meas. 2020 Jul;44(5):362-375. doi: 10.1177/0146621620909894. Epub 
      2020 Mar 10.