This dissertation consists of three chapters exploring the role that information plays in strategic situations. The first two chapters are devoted to modeling a decision maker's reasoning (knowledge, beliefs, and unawareness) about those of other decision makers in strategic environments. The third chapter, in turn, studies how information and…

The latent growth model (LGM) in structural equation modeling (SEM) may be extended to allow for the modeling of associations among multiple latent growth trajectories, resulting in a multiple domain latent growth model (MDLGM). While the MDLGM is conceived as a more powerful multivariate analysis technique, the examination of its methodological…

We performed an empirical study of the perceived quality of scientific graphics produced by beginning R users in two plotting systems: the base graphics package ("base R") and the ggplot2 add-on package. In our experiment, students taking a data science course on the Coursera platform were randomized to complete identical plotting…

School psychologists use intelligence and academic achievement test scores to understand individual differences in abilities that may be directed towards learning and the learning that has already occurred. To make ethical and effective decisions regarding individualized educational programs and interventions, test users must understand the…

Bibliometric mapping serves as a method to systematically evaluate and visually demonstrate the development of a research field. CiteSpace and VOSviewer, two research tools of bibliometric mapping, were used in the present study to analyze, synthesize, and visualize the hot topics as well as frontier evolution of science education. Co-authorship…

In today's age of information, the use of data is very powerful in making informed decisions. Data analytics is a field that is interested in identifying and interpreting trends and patterns within big data to make data-driven decisions. We focus on informal statistical inference and data modeling as a means of developing students' data analytics…

Purpose: Identifying appropriate targets for vocabulary instruction and determining the optimal sequence for instruction continue to be a challenge. The purpose of this study is to investigate how previously studied lexical characteristics collectively influence children's word learning. Method: A secondary data analysis was conducted using the…

The trustworthiness of low-stakes assessment results largely depends on examinee effort, which can be measured by the amount of time examinees devote to items using solution behavior (SB) indices. Because SB indices are calculated for each item, they can be used to understand how examinee motivation changes across items within a test. Latent class…

College professors have adopted numerous strategies for teaching undergraduates, yet few researchers provide empirical evidence students' learning actually increased because of the instructional innovation. Assessment of pedagogy is frequently subjective and based on comments from students or faculty. Consequently, evaluating the effectiveness of…

Recent work in predictive modeling has called for increased scrutiny of how models generalize between different populations within the training data. Using interaction data from 69,174 students who used an online mathematics platform over an entire school year, we trained a sensor-free affect detection model and studied its generalizability to…

Recent work in predictive modeling has called for increased scrutiny of how models generalize between different populations within the training data. Using interaction data from 69,174 students who used an online mathematics platform over an entire school year, we trained a sensor-free affect detection model and studied its generalizability to…

In this study canonical correlation between preservice teachers' life-long learning beliefs and epistemological beliefs were investigated. Canonical correlation analysis might explain the relationships between two data clusters containing more than one variable (Tatlidil, 1996) and from that aspect, it is more advantageous than simple correlation…

In this article, we evaluate the extent of the causal effect of parental education on the education of their children. We review this empirical literature and propose a multivariate meta-regression analysis. Our database is composed of a large set of both published and unpublished papers written in the period 2002-2014. The articles considered…

Social capital theory conceptualized social capital as key to connecting team members into the flow of valued resources and activities, with knowledge deemed one of the most valuable of these resources. Yet, the literature found teams struggle to effectively share knowledge. This quantitative survey-based study assessed the interrelationship…

Cluster analysis is a set of statistical methods for discovering new group/class structure when exploring data sets. This article reviews the following popular libraries/commands in the R software language for applying different types of cluster analysis: from the stats library, the kmeans, and hclust functions; the mclust library; the poLCA…