Education Commons^™

Mis-Specification Of Functional Forms In Growth Mixture Modeling: A Monte Carlo Simulation, Richa Ghevarghese

Electronic Theses and Dissertations

Growth mixture modeling (GMM) is a methodological tool used to represent heterogeneity in longitudinal datasets through the identification of unobserved subgroups following qualitatively and quantitatively distinct trajectories in a population. These growth trajectories or functional forms are informed by the underlying developmental theory, are distinct to each subgroup, and form the core assumptions of the model. Therefore, the accuracy of the assumed functional forms of growth strongly influences substantive research and theories of growth. While there is evidence of mis-specified functional forms of growth in GMM literature, the weight of this violation has been largely overlooked. Current solutions to circumvent …

Digital Searching: A Grounded Theory Study On The Modern Search Experience, Nicolas Armando Parés

Electronic Theses and Dissertations

This Grounded theory study explores US adults' modern information search process as they pursue information through digital search user interfaces and tools. To study the current search process, a systematic grounded theory methodology and two data collection methods, a think-aloud protocol and semi-structured interviews, are used to develop the theory. The emerging theory addressed two tightly connected research questions that asked, “What is the process by which humans search and discover information?” and “What is the process by which search and discovery interfaces and tools support the modern search process?”

The study collects participant data from US adults who have …

The Infinity Mirror: Learning To Lead Through Action-Oriented Inquiry, Robert D. Evans

Electronic Theses and Dissertations

This dissertation-in-practice is a reflective self-study exploring the lived experience of the current researcher as a leader of Lesson Study (LS) over 2 years. Drawing on the concepts of perspective and engagement articulated by Wenger-Trayner and Wenger- Trayner (2016) in their Learning in Landscapes of Practice conceptual framework, the study is organized around the primary critical question: How has my perspective on what it means to be a teacher leader been transformed through my engagement with LS in the context of a US community of educational practice? Working within the paradigm of first person action-oriented inquiry, the method of self-study …

Estimation Of Treatment Effects With Multilevel Observational Data Using Deep Neural Networks, Logistic Regression, And Multilevel Modeling: A Propensity Score Approach, Neba Nfonsang

Electronic Theses and Dissertations

This study used a propensity score approach to estimate treatment effects in a multilevel setting. The propensity score approach involves the estimation of propensity scores for covariate balancing and the estimation of treatment effects. This study aimed at understanding how propensity scores estimated through a simple logistic regression compare with propensity scores estimated through an optimized deep neural networks model. The study also examined how treatment effects estimated with propensity score weights from logistic regression compare with treatment effects estimated with propensity score weights from deep neural networks.

Few causal studies have been conducted in a multi-level setting with observational …