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bgsu1150425606.pdf (1.48 MB)
ETD Abstract Container
Abstract Header
Bayesian Model Checking Strategies for Dichotomous Item Response Theory Models
Author Info
Toribio, Sherwin G.
Permalink:
http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1150425606
Abstract Details
Year and Degree
2006, Doctor of Philosophy (Ph.D.), Bowling Green State University, Mathematics/Mathematical Statistics.
Abstract
Item Response Theory (IRT) models are commonly used in educational and psychological testing. These models are mainly used to assess the latent abilities of examinees and the effectiveness of the test items in measuring this underlying trait. However, model checking in Item Response Theory is still an underdeveloped area. In this dissertation, various model checking strategies from a Bayesian perspective for different Item Response models are presented. In particular, three methods are employed to assess the goodness-of-fit of different IRT models. First, Bayesian residuals and different residual plots are introduced to serve as graphical procedures to check for model fit and to detect outlying items and examinees. Second, the idea of predictive distributions is used to construct reference distributions for different test quantities and discrepancy measures, including the standard deviation of point bi-serial correlations, Bock's Pearson-type chi-square index, Yen's Q
1
index, Hosmer-Lemeshow Statistic, Mckinley and Mill's G
2
index, Orlando and Thissen's S-G
2
and S-X
2
indices, Wright and Stone's
W
-statistic, and the Log-likelihood statistic. The prior, posterior, and partial posterior predictive distributions are discussed and employed. Finally, Bayes factor are used to compare different IRT models in model selection and detection of outlying discrimination parameters. In this topic, different numerical procedures to estimate the Bayes factors for these models are discussed. All of these proposed methods are illustrated using simulated data and Mathematics placement exam data from BGSU.
Committee
James Albert (Advisor)
Pages
199 p.
Keywords
Item Response Theory
;
Bayesian Model Checking
;
Gibbs Sampling
;
Predictive Distributions
;
Bayes Factor
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Citations
Toribio, S. G. (2006).
Bayesian Model Checking Strategies for Dichotomous Item Response Theory Models
[Doctoral dissertation, Bowling Green State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1150425606
APA Style (7th edition)
Toribio, Sherwin.
Bayesian Model Checking Strategies for Dichotomous Item Response Theory Models.
2006. Bowling Green State University, Doctoral dissertation.
OhioLINK Electronic Theses and Dissertations Center
, http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1150425606.
MLA Style (8th edition)
Toribio, Sherwin. "Bayesian Model Checking Strategies for Dichotomous Item Response Theory Models." Doctoral dissertation, Bowling Green State University, 2006. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1150425606
Chicago Manual of Style (17th edition)
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Document number:
bgsu1150425606
Download Count:
1,956
Copyright Info
© 2006, all rights reserved.
This open access ETD is published by Bowling Green State University and OhioLINK.