Classroom management practices are critical to the success of teachers and students, and a growing number of programs have been developed to improve these practices. However, there has been less investigation into observational tools to assess classroom management and exploration of whether it can be measured consistently by observers across…

In carrying out surveys involving sensitive characteristics, randomized response models have been considered among the best techniques since they provide the maximum privacy protection to the respondents and procure honest responses. Over the years, researchers have carried out studies on the estimation of proportions of the population possessing…

This dissertation studies two distinct but equally essential industries: higher education and water utilities. In the context of higher education, I investigate the impact of subsidies on equilibrium prices and quality levels. For water utilities, I explore the differences between public and private providers in terms of productivity and…

Person-fit analyses are commonly used to detect aberrant responding in self-report data. Nonparametric person fit statistics do not require fitting a parametric test theory model and have performed well compared to other person-fit statistics. However, detection of aberrant responding has primarily focused on dominance response data, thus the…

The recent popularity of models that capture the dynamic coevolution of both network structure and behavior has driven the need for summary indices to assess the adequacy of these models to reproduce dynamic properties of scientific or practical importance. Whereas there are several existing indices for assessing the ability of the model to…

Classroom management practices are critical to the success of teachers and students, and a growing number of programs have been developed to improve these practices. However, there has been less investigation into observational tools to assess classroom management and explore whether it can be measured consistently by observers across elementary,…

Different e-learning technologies may offer different incentive factors, which influence behavioural intention. Moreover, when adopting a new e-learning technology for an extended period, learners' perceptions and learning behaviour may change during the learning period. Unfortunately, as formative assessments (FAs) are often continuously…

Given the inadequacy of assessed outcomes (e.g., final exam) and the importance of evaluating the learning process in STEM education, we use deep learning to develop the STEM learning behavior analysis system (SLBAS) to assess the behavior of learners in STEM education. We map learner behavior to the ICAP (interactive, constructive, active,…

As a research field geared toward understanding and improving learning, Learning Analytics (LA) must be able to provide empirical support for causal claims. However, as a highly applied field, tightly controlled randomized experiments are not always feasible nor desirable. Instead, researchers often rely on observational data, based on which they…

Purpose: Measuring internal response of online learning is seen as fundamental to absorptive capacity which stimulates knowledge assimilation. However, the evaluation of practice and research of validated instruments that could effectively measure online learning response behavior is limited. Thus, in this study, a new instrument was designed…

Today, the use of formal preference assessments, including paired-stimulus preference assessments, is widely utilized to help determine which items to use as reinforcers during intervention. A second way to determine potential reinforcers is to analyze multiple dimensions of a stimulus in the moment, a procedure known as in-the-moment reinforcer…

Tools for evaluating the quality and rigor of single case research designs (SCD) are often used when conducting SCD syntheses. Preferred components include evaluations of design features related to the internal validity of SCD to obtain quality and/or rigor ratings. Three tools for evaluating the quality and rigor of SCD (Council for Exceptional…

Initiatives to increase leadership accountability coupled with efforts to promote data-driven leadership have led to widespread adoption of instruments to assess school leaders. In this article, we present a decision matrix that practitioners and researchers can use to facilitate instrument selection. Our decision matrix focuses on the…

Teaching has attracted growing research attention in studies of human and animal behavior as a crucial behavior that coevolved with human cultural capacities. However, the synthesis of data on teaching across species and across human populations has proven elusive because researchers use a variety of definitions and methods to approach the topic.…

The laboratory is an integral component of engineering education, resulting in a multitude of studies. Generally, the research focus is on the laboratory innovation, rather than learning itself. It is observed that empirical evidence is strongly built around student perceptions of their learning or experience via survey instruments; and in some…