Multiple imputation (MI) is a popular method for handling missing data. In education research, it can be challenging to use MI because the data often have a clustered structure that need to be accommodated during MI. Although much research has considered applications of MI in hierarchical data, little is known about its use in cross-classified…

The increasing complexity of health care practice makes continuing professional development (CPD) essential for health care professionals. Simulation-based training is a CPD activity that is often applied to improve interprofessional collaboration and the quality of care. The aim of this study is to explore simulation as a pedagogical practice for…

Every day, people use data to make decisions that affect their personal and professional lives, trusting that the data are correct. Many times, however, the data are inaccurate, as a result of a flaw in the design or methodology of the survey used to collect the data. Researchers agree that only questions that are clearly worded, unambiguous, free…

This study strived to determine the effectiveness of the AR phonics program relative to the effectiveness of the scripted phonics program for developing the letter identification, sound verbalization, and blending abilities of kindergarten students considered at-risk based on state assessments. The researcher was interested in pretest and posttest…

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)…

The well established, gold standard approach to finding out what works in education research is to run a randomized controlled trial (RCT) using a standard pre-test and post-test design. RCTs have been used in the intelligent tutoring community for decades to determine which questions and tutorial feedback work best. Practically speaking, however,…

Mixture modeling is a widely applied data analysis technique used to identify unobserved heterogeneity in a population. Despite mixture models' usefulness in practice, one unresolved issue in the application of mixture models is that there is not one commonly accepted statistical indicator for deciding on the number of classes in a study…

The Even Start Family Literacy Program was established in 1989 to help break the cycle of poverty and illiteracy for low-income families, by improving the literacy skills of parents and their young children. Even Start projects offer family literacy services, defined as four integrated instructional components: (1) Childhood Education (ECE); (2)…

The accuracy with which regression models estimate treatment effects is dependent upon a number of conditions. The stability of the regression line (a function of sample size and correlation between pretest and posttest) is said to be the most important of these conditions. The utility of regression models is proportional to the size of the…