Purpose: Listening effort is a broad construct, and there is no consensus on how to subdivide listening effort into dimensions. This project focuses on the subjective experience of effortful listening and tests if cognitive workload, mental fatigue, and mood are interrelated dimensions. Method: Two online studies tested young adults (n = 74 and n…

Item response tree (IRTree) models are a flexible framework to control self-reported trait measurements for response styles. To this end, IRTree models decompose the responses to rating items into sub-decisions, which are assumed to be made on the basis of either the trait being measured or a response style, whereby the effects of such person…

Scoring high-dimensional assessments (e.g., > 15 traits) can be a challenging task. This paper introduces the multilabel neural network (MNN) as a scoring method for high-dimensional assessments. Additionally, it demonstrates how MNN can score the same test responses to maximize different performance metrics, such as accuracy, recall, or…

This project seeks to understand the emergence of mathematical meanings mediated by learners' interactions with multiple artifacts. Extending our prior work which took an enactivist approach and revealed the dynamics of embodied interactions fundamental to understanding fraction division, we now employ a semiotic lens to illuminate how learners…

The purpose of this study was to identify kindergarteners at risk for language and reading disorders and to determine predictors. A representative sample of 311 kindergarteners in general education classrooms in the U.S. Midwest were assessed with the Well Screening in fall, winter, and spring. Groups were compared using analysis of variance…

Purpose: The goal of this study was to establish the perceptual underpinnings of the terms that are commonly used by patients when describing the quality of their tinnitus. Method: Using a free-classification method, 15 subjects with normal hearing placed 60 different tinnitus-like sounds into similarity clusters on a grid. Multidimensional…

Teaching reading has been an ongoing challenge for many educators across the United States. Numerous studies suggest that teachers feel they were not adequately prepared to teach reading and have low efficacy in delivering literacy instruction. Teaching reading requires educators to be knowledgeable about the alphabetic principle, decoding new…

Researchers have become increasingly interested in better understanding the survey data collection process in interviewer-administered surveys. However, tools for analysing paradata capturing information about field processes, also called call record data, are still not yet fully explored. This paper introduces sequence analysis as a simple tool…

Despite extensive research supporting educational acceleration for students with high academic ability, some psychologists, counselors, and educators express concerns about accelerative interventions. Such concerns often hinge on uncertainty about social acceptance, even in inclusive education settings. Research on acceleration has consistently…

This study investigates the effect of multidimensionality on extraction of latent classes in mixture Rasch models. In this study, two-dimensional data were generated under varying conditions. The two-dimensional data sets were analyzed with one- to five-class mixture Rasch models. Results of the simulation study indicate the mixture Rasch model…

The Grit--short scale measures consistency and perseverance for long-term goals. In the present study, we translated and adapted the Grit--short scale into Hindi (Grit-SH) and examined its within-network and between-network construct validity among Indian adolescents. The participants were 534 senior secondary school students aged 14 - 18 years…

This dissertation presents two essays on econometric methods for program evaluation and policy choice. In Chapter 1, I develop a statistically optimal way of using data to make policy decisions when the performance of counterfactual policies is only partially identified. Specifically, I consider a class of statistical decision problems in which…

Diversity in the science, technology, engineering, and mathematics (STEM) workforce is in continual demand among underrepresented minorities and women. Of particular concern is the disproportionality low rates of Black women in STEM in relationship to their science and engineering (S&E) degree attainment and overall representation in the…

Measuring cognitive load is important in virtual learning environments (VLE). Thus, valid and reliable measures of cognitive load are important to support instructional design in VLE. Through three studies, we investigated the validity and reliability of Leppink's Cognitive Load Scale (CLS) and developed the extraneous cognitive load (EL)…

Student engagement is a multidimensional construct influenced by complex student, classroom, and school factors. Although prior research has examined various dimensions of student engagement, few studies have adopted a multilevel approach to simultaneously incorporate observational measures of classroom practices with student and school factors.…