Institutional researchers use skills from their diverse backgrounds to collect, analyze and report data about their institutions to stakeholders representing various interests and levels of data literacy. However, there is little research into how these professionals process data and none into what aspects are important to institutional…

This chapter presents a sophisticated approach for tracking student cohorts from entry through departure within an institution. It describes how a researcher can create a student tracking model to perform longitudinal research on student cohorts. (Contains 3 tables and 2 figures.)

The vast amount of research conducted on student persistence over the past thirty years is indicative of the continuing and evolving interest in retention of students. Framed through multiple perspectives, this retention research is driven by the fact that more students leave institutions without graduating, year after year. Much more than an…

Utilizing data from the national administration of a Cooperative Institutional Research Program (CIRP) baseline and follow-up survey of the first-year experience during the 2002-2003 academic year, this study explores the relationship between three curricular interventions--first-year seminars, service-learning, and learning communities--and the…

The lack of consensus among researchers in defining the focal construct of rurality has led to contradictory conclusions of whether or not a rural-urban performance gap exists in higher education. Compounding this problem are the changing definitions of rural and urban, even among governmental agencies. Thus, this study used two different…

Multiple program impact analysis was used to evaluate the overall effectiveness in programs for 11,766 first-year students at the University of Texas at Austin. The technique examines the relationship between involvement in multiple educational programs and selected educational outcomes. Among findings was that participation in more than one…

This study explored how logit, probit, and more traditional linear regression techniques compare in predicting college student retention, using data provided by registrars from a national sample of colleges and universities. Results showed little practical difference among the techniques, despite theoretical advantages offered by the first two.…

Focusing on student retention and time to degree completion, this study illustrates how institutional researchers may benefit from the power of predictive analyses associated with data-mining tools. The following are appended: (1) Predictors; and (2) Variable Definitions. (Contains 5 figures.)

The conceptual and technical problems that need to be considered when studying graduate student retention and degree progress are examined, and practical suggestions for the institutional researcher are offered. Terms are defined, retention measures are explained, and different types of analysis are outlined. Ideas are given for database…

Analysis of limited research on evaluation of postgraduate scholarship programs looked at indicators used, focusing on the four most common: awarded diploma; obtained job; obtained related job; and pursuing studies. Several methodological pitfalls in comparing assessment results are identified. Overall, results tend to show scholarship programs…

A model of student persistence that considers the role of student finances and student financial aid was investigated in 1980, with a focus on federal campus-based aid. Linear Structural Relations (LISREL), a more versatile technique than traditional path analysis, accounted for 42 percent of the variance in the persistence of 343 new freshmen…

This article describes a qualitative research approach (in-depth phenomenological interviewing) and illustrates, through the example of an actual study, its potential for helping institutions of higher education understand their students. It argues that progress in understanding college student outcomes, such as persistence, has been retarded by…

This paper describes a methodology used in an on-going retention study at New York University (NYU) to identify a series of easily measured factors affecting student departure decisions. Three logistic regression models for predicting student retention were developed, each containing data available at three distinct times during the first…

The development of students should be the primary mission of higher education. The consequences of significant attrition in many universities are not trivial. This study identified relevant variables and appropriate methodologies for enhancing undergraduate retention at one university. By employing records analyses, system definition, and a…

A study with 2,453 college students investigated the construct validity of the student commitment to institution as a factor in academic persistence. Results suggest factors such as institutional quality, practical educational utility, student-institution fit, and loyalty to institution were more predictive of persistence than similarity of…