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1.
A second-order growth model for longitudinal item response data
by Serrano, Daniel, Ph.D.  The University of North Carolina at Chapel Hill. 2010: 119 pages; 3418745.
5.
Meta-Analysis of Single-Case Data: A Monte Carlo Investigation of a Three Level Model
by Owens, Corina M., Ph.D.  University of South Florida. 2011: 219 pages; 3449468.
7.
Practical formulations of the Latent Growth Item Response Model
by McGuire, Leah Walker, Ph.D.  University of California, Berkeley. 2010: 103 pages; 3413550.
9.
A parallel implementation of Gibbs sampling algorithm for 2PNO IRT models
by Rahimi, Mona, M.S.  Southern Illinois University at Carbondale. 2011: 72 pages; 1500979.
13.
Reading comprehension and its assessment: Aligning operationalization with conceptualization of the construct
by Rahman, Taslima, Ph.D.  University of Maryland, College Park. 2013: 250 pages; 3568756.
15.
Models for understanding student thinking using data from complex computerized science tasks
by LaMar, Michelle Marie, Ph.D.  University of California, Berkeley. 2014: 93 pages; 3686374.
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Information gathered by retrospective, self-report, emotional frequency items in children
by Brocato, Nicole Whyms, Ph.D.  University of Maryland, Baltimore County. 2014: 223 pages; 3624332.
19.
Measurement Invariance of Maximizing Tendency Scales
by Foss, Paige M., M.A.  State University of New York at Albany. 2019: 72 pages; 13879073.
20.
The effects of routing and scoring within a computer adaptive multi-stage framework
by Dallas, Andrew, Ph.D.  The University of North Carolina at Greensboro. 2014: 133 pages; 3624184.
23.
Comparison of cognitively diagnostic adaptive testing algorithms
by Yamada, Tomoko, Ph.D.  Columbia University. 2008: 98 pages; 3299364.
24.
Self-directed learning and academic achievement in secondary online students
by Carson, Elaine Hendricks, Ed.D.  The University of Tennessee at Chattanooga. 2012: 175 pages; 3523738.
25.
The construction and validation of the fullerton ontological confusion scale
by Pasquarella, Fred Joseph, M.A.  California State University, Fullerton. 2015: 100 pages; 1604565.
26.
Robust Latent Ability Estimation Based on Item Response Information and Model Fit
by Maeda, Hotaka, Ph.D.  The University of Wisconsin - Milwaukee. 2017: 107 pages; 10620703.
27.
The impact of the errors of equating and errors of measurement on the reported scores
by Mekhael, Michael, Ph.D.  Fordham University. 2008: 151 pages; 3308284.
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Comparisons of subscoring methods in computerized adaptive testing: A simulation study
by Liu, Fu, Ph.D.  The University of North Carolina at Greensboro. 2015: 202 pages; 3745565.
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