The extent to which an intervention is perceived as socially valid significantly influences whether the intervention is selected, implemented, and maintained (Kern & Manz, 2004). Social skill interventions and evidence-based practices are often ranked with low social validity by adolescents (McCoy et al., 2016). Interventions delivered through…

The use of Simulation-Based Learning (SBL) has increased in Nutrition and Dietetic (N&D) programs, although the research supporting its usability in N&D students is lacking. There are limited quality SBL instruments available that have been validated and tested for reliability in N&D students preparing for clinical practice. This…

Central Venous Catheterization (CVC) is a commonly performed medical procedure used for medication delivery to the heart. While CVC is conducted over 5 million times annually it is plagued with high complication rates, resulting in adverse effects on patients, and in the worst cases, death. These complications are directly related to the…

The purpose of this study was to examine the digital literacy of Gen Z employees in higher education and provide implications for HRD research and practice and contribute to the HRD literature on Gen Z employees in the 21st century workforce. Three research questions guided my study: How do Gen Z employees in higher education experience digital…

Experiential learning exercises, such as field trips, are a common pedagogical practice in geoscience curriculums. Their purpose is to facilitate the transfer of knowledge gained in a classroom or lab setting into a field setting, but can be considered a barrier for entry into the geosciences for those with disabilities, caregiver/employment…

The purpose of this research effort was to develop a model that provides repeatable Location Management (LM) testing using a network simulation tool, QualNet version 5.1 (2011). The model will provide current and future protocol developers a framework to simulate stable protocol environments for development. This study used the Design Science…

Trust management in mobile networks is challenging due to dynamically changing network environments and the lack of a centralized trusted authority. In this dissertation research, we "design" and "validate" a class of dynamic trust management protocols for mobile networks, and demonstrate the utility of dynamic trust management…

Diagnostic classification models (DCMs) are structured latent class models widely discussed in the field of psychometrics. They model subjects' underlying attribute patterns and classify subjects into unobservable groups based on their mastery of attributes required to answer the items correctly. The effective implementation of DCMs depends…

Nursing programs across the United States (U.S.) rely upon simulation to complement or substitute for traditional clinical experiences. The purpose of this secondary analysis study is to use de-identified National Nursing Education Network (NNERN) (2015-2016) survey data of nursing students who participated in simulation to examine which selected…

The purpose of this study was to investigate the use of the design characteristics component of the Jeffries/National League for Nursing Framework for Designing, Implementing, and Evaluating Simulations when developing a simulation-based approach to teaching structured communication to new graduate nurses. The setting for the study was a medium…

This dissertation answers three research questions: (1) What are the characteristics of a combinatoric measure, based on the Average Search Length (ASL), that performs the same as a probabilistic version of the ASL?; (2) Does the combinatoric ASL measure produce the same performance result as the one that is obtained by ranking a collection of…

This thesis deals with "large-scale" detection problems that arise in many real world applications such as sensor networks, mapping with mobile robots and group testing for biological screening and drug discovery. These are problems where the values of a large number of inputs need to be inferred from noisy observations and where the…

In DIF studies, a Type I error refers to the mistake of identifying non-DIF items as DIF items, and a Type I error rate refers to the proportion of Type I errors in a simulation study. The possibility of making a Type I error in DIF studies is always present and high possibility of making such an error can weaken the validity of the assessment.…

In measurement research, data simulations are a commonly used analytical technique. While simulation designs have many benefits, it is unclear if these artificially generated datasets are able to accurately capture real examinee item response behaviors. This potential lack of comparability may have important implications for administration of…

Spatial or temporal data mining tasks are performed in the context of the relevant space, defined by a spatial neighborhood, and the relevant time period, defined by a specific time interval. Furthermore, when mining large spatio-temporal datasets, interesting patterns typically emerge where the dataset is most dynamic. This dissertation is…