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Gertrudes Velasquez – ProQuest LLC, 2021
This study introduces a longitudinal diagnostic classification model, called the LTA+HDCM, which is a fusion of latent transition analysis (LTA; Collins & Flaherty, 2002; Collins & Wugalter, 1992) and the hierarchical diagnostic classification model (HDCM; Templin & Bradshaw, 2014). The primary goals in this study are (1) to evaluate…
Descriptors: Learning Trajectories, Measurement, Longitudinal Studies, Research Design
Lydia Bradford – ProQuest LLC, 2024
In randomized control trials (RCT), the recent focus has shifted to how an intervention yields positive results on its intended outcome. This aligns with the recent push of implementation science in healthcare (Bauer et al., 2015) but goes beyond this. RCTs have moved to evaluating the theoretical framing of the intervention as well as differing…
Descriptors: Hierarchical Linear Modeling, Mediation Theory, Randomized Controlled Trials, Research Design
Shin, Hyo Jeong – ProQuest LLC, 2015
This dissertation is comprised of three papers that propose and apply psychometric models to deal with complexities and challenges in large-scale assessments, focusing on modeling rater effects and complex learning progressions. In particular, three papers investigate extensions and applications of multilevel and multidimensional item response…
Descriptors: Item Response Theory, Psychometrics, Models, Measurement
Zu, Tianlong – ProQuest LLC, 2017
Cognitive load theory (CLT) (Sweller 1988, 1998, 2010) provides us a guiding framework for designing instructional materials. CLT differentiates three subtypes of cognitive load: intrinsic, extraneous, and germane cognitive load. The three cognitive loads are theorized based on the number of simultaneously processed elements in working memory.…
Descriptors: Physics, Science Instruction, Learning Theories, Experiments
Jeon, Minjeong – ProQuest LLC, 2012
Maximum likelihood (ML) estimation of generalized linear mixed models (GLMMs) is technically challenging because of the intractable likelihoods that involve high dimensional integrations over random effects. The problem is magnified when the random effects have a crossed design and thus the data cannot be reduced to small independent clusters. A…
Descriptors: Hierarchical Linear Modeling, Computation, Measurement, Maximum Likelihood Statistics
Diakow, Ronli Phyllis – ProQuest LLC, 2013
This dissertation comprises three papers that propose, discuss, and illustrate models to make improved inferences about research questions regarding student achievement in education. Addressing the types of questions common in educational research today requires three different "extensions" to traditional educational assessment: (1)…
Descriptors: Inferences, Educational Assessment, Academic Achievement, Educational Research