Understanding Persistence of At-Risk Students in Higher Education Enrollment Management Using Multiple Linear Regression and Network Analysis

@article{Gilstrap2019UnderstandingPO,
  title={Understanding Persistence of At-Risk Students in Higher Education Enrollment Management Using Multiple Linear Regression and Network Analysis},
  author={Donald L. Gilstrap},
  journal={The Journal of Experimental Education},
  year={2019},
  volume={88},
  pages={470 - 485}
}
Abstract This article presents research on persistence among at-risk students using network analysis following multiple linear regression (MLR). Data on a population of enrolled undergraduate students at an urban-serving university over several years (P = 35,239) is tested using multiple linear regression. Variables interacting at different dimensions of the model are analyzed using IBM SPSS Neural Networks (2017) and Cytoscape (2018) to show network linkages. While variables may not be… 
A Data-Driven Optimization Model of Important Multidimensional Factors Affecting College Students' Cognitive Engagement in Ideological and Political Theory Course
The optimization of important multidimensional factors is conducive to cognitive engagement, which is a crucial dimension of student engagement and plays a significant role in college students’
Complex Systems Approaches to Educational Research: Introduction to the Special Issue
Abstract To explore the movement toward increased complex systems (CS) research in education, this special issue of the Journal of Experimental Education was developed to identify some under-examined
Steps for Applying the Complex Dynamical Systems Approach in Educational Research: A Guide for the Perplexed Scholar
TLDR
This commentary proposes a framework for applying the Complex Dynamical Systems (CDS) approach in educational research and suggests six interdependent steps for researchers who seek to pursue educational research from the CDS approach.
Differentiating Instruction: Development of a Practice Framework for and with Secondary Mathematics Classroom Teachers
This article outlines an approach to bridging the gap between the theory and practice of differentiated instruction. Differentiated instruction has long been suggested as a pedagogical approach to

References

SHOWING 1-10 OF 50 REFERENCES
Predicting Student Attrition with Data Mining Methods
Affecting university rankings, school reputation, and financial well-being, student retention has become one of the most important measures of success for higher education institutions. From the
A social network analysis of student retention using archival data
This study attempts to determine if a relationship exists between first-to-second-year retention and social network variables for a cohort of first-year students at a small liberal arts college. The
Results of the Use of a Model that Predicts Individual Student Attrition to Intervene with Those Who Are Most at Risk.
TO INTERVENE WITH THOSE WHO ARE MOST AT RISK. This Article DESCRIBES THE EARLY OUTCOMES OF AN ONGOING PROJECT AT THE UNIVERSITY OF SOUTH FLORIDA I N. TAMPA THAT INVOLVES USING A LOGISTIC REGRESSION
Will They Stay or Will They Go? Predicting the Risk of Attrition at a Large Public University
THE PROJECT described in this article seeks to utilize a complex set of variables and characteristics, including data mined from an administration of the College Student Experiences Questionnaire, to
Exploring Student Characteristics of Retention that Lead to Graduation in Higher Education Using Data Mining Models
The study used earliest available student data from a flagship university in the southeast United States to build data mining models like logistic regression with different variable selection
Admission Models for At-Risk Graduate Students in Different Academic Disciplines.
Abstract In this study, models were constructed for seven academic areas to predict whether or not an at-risk graduate student will be successful in obtaining a masters degree. Predictor variables
College Choice In America
The most crucial choice a high school graduate makes is whether to attend college or to go to work. Here is the most sophisticated study of the complexities behind that decision. Based on a unique
A Comparison of Techniques for Handling and Assessing the Influence of Mobility on Student Achievement
ABSTRACT Conventional multilevel modeling works well with purely hierarchical data; however, pure hierarchies rarely exist in real datasets. Applied researchers employ ad hoc procedures to create
Increasing the Institutional Commitment of College Students
Measurement shortcomings have hampered the understanding of institutional commitment (IC) in college students. Therefore, this study sought to (a) develop validated indices of IC and associated
College Choices of Academically Able Students: The Influence of No-Need Financial Aid and Other Factors (Research Monograph No 10)
College preferences and choices of a sample of high-ability high school seniors applying to colleges in spring 1984 were studied to determine the award of no-need (merit) aid to the students and the
...
...