In response to the COVID-19 pandemic, an abrupt wave of digitisation and online migration swept the higher education institutions around the globe. In the aftermath of this digital transformation which endures as the legacy of the pandemic, what lacks in knowledge is how effective the anti-COVID measures were in maintaining quality education.…

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…

What people know about higher education may depend on which data they look at and how they examine them. Responsible analysts should present a full picture of their sources of data and the limitations of those sources, restricting their conclusions to those that the data genuinely warrant. When new research conflicts with previous results, enough…

The ultimate goal of the institutional researcher is not always to test a research hypothesis, but more often simply to find an appropriate model to gain an understanding of the underlying characteristics and interrelationships of the data. Exploratory data analysis provides a means of accomplishing this. (Author)

Exploratory data analysis (EDA) gives students a feel for the data being considered. Four applications of EDA are discussed: the use of displays, resistant statistics, transformations, and smoothing. (RM)

The data collected in higher education research are not always quantitative or continuous. Statistical methods using the log-linear model provide the institutional researcher with a powerful set of tools for addressing research questions when data are categorical. (Author/MSE)

Path analysis and linear structural relations (LISREL) provide the institutional researcher with some extremely powerful statistical tools. However, they must be applied and interpreted carefully with a full understanding of their limitations and the statistical assumptions on which they are based. (Author)

Maintains that usual method of analyzing student evaluation of teaching (SET) data is inappropriate. Shows results of both ordinary least squares (OLS) and multinominal logit data analysis approaches on 6,872 student evaluation of economics faculty at University of California, Santa Barbara during the 1983-84 academic year. Results show…

A study investigated the effect of writing in statistics classes on students' interpretation skills (translating the results of data analysis into verbal interpretations that are accessible to non-statisticians). One hundred twenty-two students in three statistics classes received either low, moderate, or high instructional emphasis in…

A study examined how lecturers received the results of statistical analyses of student evaluations and found that most had not correctly interpreted the analysis, half wanted to improve performance, and 20 percent requested specific guidance. It was concluded that the detailed analysis results should be accompanied by individual discussions. (MSE)

Describes the way a relational database management system manages a large historical data collection project. Shows that such databases are practical to construct. States that the programing tasks involved are not for beginners, but the rewards of having data organized are worthwhile. (GG)

Discusses the implications of changing demographics on college campuses. Describes errors that may arise in statistical interpretations regarding womens' advancement in higher education. Urges minority groups to assume postures of collaboration rather that competition and stresses the importance of providing educational access to all who seek…

A recent conference on statistics education recommended that more emphasis be placed on the interpretation of research (IOR). Ways for developing and assessing IOR and providing a systematic framework for creating and selecting instructional materials for the independent assessment of specific IOR concepts are the focus of this paper. The…

This document examined studies of the overjustification effect. Many studies examining the phenomenon were conducted during the 1970s; findings appeared to be accepted without qualification. It is unclear whether researchers conducted the studies with the proper methodologies and interpreted results correctly. Such factors included the type of…

This study used 1994 data from the California Community College System cohort of first-time freshmen to identify that part of University of California (UC) or California State University (CSU) transfer performance that is determined by factors outside the control of college administrators. The idea was to "level the playing field" when…