Dynamic structural equation modeling (DSEM) is a useful technique for analyzing intensive longitudinal data. A challenge of applying DSEM is the missing data problem. The impact of missing data on DSEM, especially on widely applied DSEM such as the two-level vector autoregressive (VAR) cross-lagged models, however, is understudied. To fill the…

The product Bayes factor (PBF) synthesizes evidence for an informative hypothesis across heterogeneous replication studies. It can be used when fixed- or random effects meta-analysis fall short. For example, when effect sizes are incomparable and cannot be pooled, or when studies diverge significantly in the populations, study designs, and…

Conducting research among hard-to-reach populations is a difficult endeavor because some of their characteristics are known to be associated with survey nonresponse and panel attrition. In the case of the Parchemins study, which followed undocumented migrants over their process of regularization and during the first years of regularized life in…

Research involving young people is a challenging process that requires managing relationships with diverse individuals and groups, including the young participants and their various gatekeepers. While it is normally assumed that the researcher is in overall control of their research, by using a Foucauldian conception of 'power as effects' that…

Emerging technologies such as augmented reality are impacting the field of education, it can be seen in the attention given to technology, specifically augmented reality. Systematic reviews on research related to learning through augmented reality aim to find gaps of augmented reality in learning. However, there is a limited number of systematic…

This article delves into the challenges of institutional data collection processes in higher education, particularly regarding diversity reporting. The study this article is based on focuses on enhancing inclusivity by introducing a nonbinary sex category into the institutional data of a distinguished Chilean public university. In the Chilean…

The Australian Government Tertiary Education Quality and Standards Agency's (TEQSA's) guidance notes are concise documents designed to provide high-level, principles-based guidance on interpretation and application of specific standards of the Higher Education Standards Framework (Threshold Standards) 2021. They also draw attention to other…

This dissertation intends to inform self-assessment and data collection practices within Rutgers University and act upon the encouragement of university leadership to advance the potential of the public service mission. These goals are accomplished by exploring relevant questions to inform the practices of institutional research (IR) and…

In 2018, the United States Congress passed the "Strengthening of Career and Technical Education for the 21st Century Act." This legislation included the requirement to conduct a comprehensive local needs assessment, which must include input from community stakeholders. This project designed and evaluated a three-step process that…

In statistics classes, the central limit theorem has been demonstrated using simulation-based illustrations. Known population distributions such as a uniform or exponential distribution are often used to consider the behavior of the sample mean in simulated samples. Unlike such simulations, a number of real-data-based simulations are here…

Adaptive survey design refers to using targeted procedures to recruit different sampled cases. This technique strives to reduce bias and variance of survey estimates by trying to recruit a larger and more balanced set of respondents. However, it is not well understood how adaptive design can improve data and survey estimates beyond the…

Public school districts are frequently targeted by cybercriminals to gain access to a wealth of under-protected sensitive data. As a result, information technology (IT) leaders in public school districts must implement measures to maintain the security and confidentiality of sensitive data collected and stored by their schools. This qualitative…

Prospective students and their families use college rankings to navigate their higher education options. Rising tuition and fees have made the college decision more fraught. Recently, the major college ranking providers have revised their methodologies to reflect costs and other considerations. These revisions raise important questions about the…

Learning analytics (LA) promises understanding and optimization of learning and learning environments. To enable richer insights regarding questions related to learning and education, LA solutions should be able to integrate data coming from many different data sources, which may be stored in different formats and have varying levels of structure.…

At the stage of designing an educational environment, one of the most significant problems is the creation of effective visualization tools for collecting, organizing and analysing educational information. Existing approaches to visual information analysis have a number of disadvantages, which include a significant resource intensity and high…