This study investigates the role of prosody in narration as a function of Labovian narrative structure and stancetaking in identity performance. This study is both an extension and enhancement of preliminary work that looked at a handful of prosodic features in Mexican Spanish narratives, and a novel investigation into discursive acts expressed…

This dissertation compares the performance of equivalence test (EQT) and null hypothesis test (NHT) procedures for identifying invariant and noninvariant factor loadings under a range of experimental manipulations. EQT is the statistically appropriate approach when the research goal is to find evidence of group similarity rather than group…

The purpose of this quantitative, quasi-experimental nonequivalent control group study was to determine if there is a difference in mathematical fact fluency among third-, fourth-, and fifth-grade students with varying practice methods and spacing intervals while controlling for pre-test scores. The study filled the literature gap by examining the…

In response to Earnest (2019) who asserted "too often studies involving time in maths education are divorced from duration, the quantity that time measures…therefore future studies ought to incorporate the experience of duration into the study design" (p. 25), the purpose of this study was to begin mapping possible conceptualizations…

We examined the math facts fluency growth of students receiving explicit timing practice in either a massed, short-distributed, or long-distributed fashion. In a repeated-measures group design, 50 mid-western 3rd grade students completed four one-minute math probes each day for 20 days. Hierarchical linear modeling revealed that students who…

Attitude scales are an important component of educational and psychological research. One consideration when seeking to make valid inferences from attitudinal data is the issue of the degree to which response options can be assumed to have equal intervals. Many response options on attitudinal measures may produce ordinal-level data rather than…

Recent research in multidimensional item response theory has introduced within-item interaction effects between latent dimensions in the prediction of item responses. The objective of this study was to extend this research to bifactor models to include an interaction effect between the general and specific latent variables measured by an item.…

What can we learn from a pause? This dissertation examines whether a pause between speaking turns in a conversation (a gap) can change how we view that conversation and its participants (a gap effect). In particular, it asks whether the length of a gap can influence interactional attributions--that is, attributions of the participants' engagement…

Literature suggests many graduate students receive inadequate, little, or no formal preparation for teaching in higher education. Most extant research on this topic shows preparation has positive outcomes for graduate students, yet few studies examine the process of graduate students' teaching preparation, which could lend important insights that…

Knowledge elicitation from human beings is important for many fields, such as decision support systems, risk communication, and customer preference studying. Traditional approaches include observations, questionnaires, structured and semi-structured interviews, and group discussions. Many publications have been studying different techniques for a…

A large body of literature exists on evolutionary computing, genetic algorithms, decision trees, codified knowledge, and knowledge management systems; however, the intersection of these computing topics has not been widely researched. Moving through the set of all possible solutions--or traversing the search space--at random exhibits no control…

In psychometrics, it is difficult to verify that measurement instruments can be used to produce numeric values with the desirable property that differences between units are equal-interval because the attributes being measured are latent. The theory of additive conjoint measurement (e.g., Krantz, Luce, Suppes, & Tversky, 1971, ACM) guarantees…

Temporal data are increasingly prevalent and important in analytics. Time series (TS) data are chronological sequences of observations and an important class of temporal data. Fields such as medicine, finance, learning science and multimedia naturally generate TS data. Each series provide a high-dimensional data vector that challenges the learning…

This thesis explores how predictions about upcoming language inputs are computed during real-time language comprehension. Previous research has demonstrated humans' ability to use rich contextual information to compute linguistic prediction during real-time language comprehension, and it has been widely assumed that contextual information can…

Combining multiple regression estimates with meta-analysis has continued to be a difficult task. A variety of methods have been proposed and used to combine multiple regression slope estimates with meta-analysis, however, most of these methods have serious methodological and practical limitations. The purpose of this study was to explore the use…