Missing data is a common challenge to any researcher in almost any field of research. In particular, human participants in research do not always respond or return for assessments leaving the researcher to rely on missing data methods. The most common methods (i.e., Multiple Imputation and Full Information Maximum Likelihood) assume that the…

The following inquiry asks the question: "What is the experience of transformation using imaginal knowing in counseling education?" Inspired by personal experience of transformation through education, the author engages this question by exploring others' experience of imaginal knowing in the context of a core-curriculum graduate-level…

Apart from providing a bird's eye view of a given domain of inquiry (Ioannidis et al., 2015), systematic reviews such as methodological syntheses offer a magnifying glass on prevalent existing problems in primary research and furnish empirically grounded solutions to rectify these issues (Page et al., 2021). As survey research in second language…

This dissertation is aimed at investigating the impact of missing data and evaluating the performance of five selected methods for handling missing responses in the implementation of Cognitive Diagnostic Models (CDMs). The five methods are: a) treating missing data as incorrect (IN), b) person mean imputation (PM), c) two-way imputation (TW), d)…

This meta-analysis synthesized the findings from 23 published and five unpublished experimental or quasi-experimental group design studies on word problem-solving instruction for K-12 students with learning disabilities (LD) and mathematics difficulties (MD). A secondary purpose of this meta-analysis was to analyze the relation between treatment…

Three teachers and one assistant principal were recruited from a middle school in a large metropolitan area of the southwestern United States to implement evidence-based practices (EBP). The teachers implemented EBPs in self-continued classrooms to ameliorate the disruptive behavior of three students. The recruited teachers and assistant principal…

Models, created using different modeling techniques, usually serve different purposes and provide unique insights. While each modeling technique might be capable of answering specific questions, complex problems require multiple models interoperating to complement/supplement each other; we call this Multi-Modeling. To address the syntactic and…

In contrast to Early Intensive Behavioral Intervention (EIBI), there are far fewer meta-analyses evaluating Naturalistic Developmental Behavioral Interventions (NDBIs) (Schreibman et al., 2015). Indeed, Pivotal Response Treatment (PRT)--a prominent NDBI--lacks meta-analytic studies. In the context of developing a line of research on the…

The ability to succeed in Science, Technology, Engineering, and Mathematics (STEM) careers is contingent on a student's ability to engage in mathematical problem solving. As a result, there has been increased focus on students' ability to think critically by providing them more with problem solving experiences in the classroom. Much research has…

A critical step in addressing a call for schools to use curricula such as problem-based learning (PBL) is developing an understanding of how school leaders can support its implementation. The purpose of this study was to examine ways school leaders at a comprehensive, public high school provided supports to teachers as they implemented this…

As the need for new leaders has increased, so has the need for new and more effective forms of leadership development (Hamel, 2007; Lojeski, 2010; Gratton, 2011). Action learning has been popularized as one of these new forms of leadership development (Peters & Smith, 1998; Byrnes, 2005; ASTD, 2008; Trehan & Pedler, 2011). However,…

Numerous ways to meta-analyze single-case data have been proposed in the literature, however, consensus on the most appropriate method has not been reached. One method that has been proposed involves multilevel modeling. This study used Monte Carlo methods to examine the appropriateness of Van den Noortgate and Onghena's (2008) raw data multilevel…

Conceptually, Response to Intervention (RtI) is a multi-tiered problem solving process rooted in special education yet designed as a framework for early and on-going instructional interventions for students across a continuum of academic need. In recent years, however, RtI has become an increasingly significant part of the discourse on school…

In mathematical problem solving, American students are falling behind their global peers because of a lack of foundational and reasoning skills. A specific area of difficulty with problem solving is working non-routine, heuristic-based problems. Many students are not provided with effective instruction and often grow frustrated and dislike math.…

The dynamic act of knowledge transfer, or the connection of a student's prior knowledge to features of a new problem, could be considered one of the primary goals of education. Yet studies highlight more instances of failure than success. This dissertation focuses on how knowledge transfer takes place during individual problem solving, in…