This study aims to comparatively examine the resultant findings by testing the measurement invariance with structural equation modeling in cases where the missing data is handled using the expectation-maximization (EM), regression imputation, and mean substitution methods in the complete data matrix and the 5% missing data matrix that is randomly…

Educational materials focused on spatial data analysis often feature mathematical descriptions of methods and step-by-step instructions of software tools, but infrequently discuss the set of decisions involved in specifying a statistical model. Failing to consider model specification may lead to specification searching, or the process of repeating…

In institutional research, modern data mining approaches are seldom considered to address predictive analytics problems. The goal of this paper is to highlight the advantages of tree-based machine learning algorithms over classic (logistic) regression methods for data-informed decision making in higher education problems, and stress the success of…

We perform two approaches of machine learning, logistic regressions and decision trees, to predict student dropout at the Karlsruhe Institute of Technology (KIT). The models are computed on the basis of examination data, i.e. data available at all universities without the need of specific collection. Therefore, we propose a methodical approach…

Educational Data Mining is an emerging discipline which seeks to develop methods to explore large amounts of data from educational settings, in order to understand students' behavior, interests and results in a better way. In recent years there have been various works related to this specialty and multiple data mining techniques derived from this…

Data analysis techniques can be used to analyze the pattern of data in different fields. Based on the analysis' results, it is recommended that suggestions be provided to decision making authorities. The data mining techniques can be used in educational domain to improve the outcome of the educational sectors. The authors carried out this research…

We examine the impact of university student burnout on academic achievement. With a longitudinal sample of working undergraduate university business and economics students, we use a two-step analytical process to estimate the efficient frontiers of student productivity given inputs of labour and capital and then analyse the potential determinants…

Data mining is concerned with detecting patterns of data in raw datasets, which are then used to unearth knowledge that might not have been discovered using conventional querying or statistical methods. This discovered knowledge has been used to empower decision makers in countless applications spanning across many multi-disciplinary areas…

Every day, students collect, organize, and analyze data to make decisions. In this data-driven world, people need to assess how much trust they can place in summary statistics. The results of every survey and the safety of every drug that undergoes a clinical trial depend on the correct application of appropriate statistics. Recognizing the…

The use of behavioral economics and behavioral psychology in consumer choice has been limited. The current study extends the study of consumer behavior analysis, a synthesis between behavioral psychology, economics, and marketing, to a larger data set. This article presents the current work and results from the early analysis of the data. We…

We report findings of a convergent validity study examining the internalizing subscale (SRSS-I5) of the newly adapted Student Risk Screening Scale for Internalizing and Externalizing (SRSS-IE12) with the internalizing subscale of the Teacher Report Form (TRF; Achenbach, 1991) conducted in 13 schools across three states with 195 kindergarten…

This study examines the perceptions of data-driven decision making (DDDM) activities and culture in organizations driven by a social mission. Analysis of survey information from multiple stakeholders in each of eight social enterprises highlights the wide divergence in views of DDDM. Within an organization, managerial and nonmanagerial staff…

As a result of the Response to Intervention (RTI) mandate in schools across many states, school counselors are well-positioned to take a leadership role. The present research study examines how school counselors across the nation perceived their training and knowledge of RTI, as well as their confidence in its implementation. Results indicate that…

Establishing institutional effectiveness has beleaguered U.S. higher education institutions for thirty years. One key element of institutional effectiveness is the ability of an organization to use data for effective decision-making. This study provides new insight into this critical component of institutional effectiveness by examining the…

The current study examines agreement among individuals with varying expertise in behavior analysis about the length of baseline when data were presented point by point. Participants were asked to respond to baseline data and to indicate when to terminate the baseline phase. When only minimal information was provided about the data set, experts and…