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This volume introduces data mining through case studies of enrollment management. Six case studies employed data mining for solving real-life issues in enrollment yield, retention, transfer-outs, utilization of advanced-placement scores, and predicting graduation rates, among others. The authors furnish a tangible sense of data mining at work. The volume also demonstrates that data mining bears great potential to enhance institutional research. The opening chapter deciphers the similarities and differences between data mining and statistics, debunks the myths surrounding both data mining and traditional statistics, and points out the intrinsic conflict between statistical inference and the emerging need for individual pattern recognition and resulting customized treatment of students - the so-called new reality in applied institutional research. This is the 131st volume of New Directions for Institutional Research, a quarterly journal published by Jossey-Bass. Click here to see the entire list of titles for New Directions for Institutional Research.
Campus climate studies and research on the impact of diversity in higher education abound. On closer examination, however, the corpus of findings on the role of diversity and how diversity is captured with campus climate surveys reveals both conceptual and methodological limitations. This volume of New Directions for Institutional Research addresses these limitations with the inclusion of studies by institutional research (IR) practitioners who make use of data that furnish new insights into the relationships among student diversity, student perception of campus climate, and student sociodemographic backgroundand how those relationships affect academic outcomes. Each chapter emphasizes how IR practitioners benefit from the conceptual and analytical approach laid out, and each chapter provides a framework to gauge the contribution of diversity to educational benefits. The findings revealed in this volume cast doubt on the benefits of student diversity purported in previous research. At a minimum, the influence of student diversity is neither linear nor unidirectional, but operates within a complex web of interrelated factors that shape the student experience. This is the 145th volume of New Directions for Institutional Research. Always timely and comprehensive, New Directions for Institutional Research provides planners and administrators in all types of academic institutions with guidelines in such areas as resource coordination, information analysis, program evaluation, and institutional management.
Institutional research is more relevant today than ever before as growing pressures for improved student learning and increased institutional accountability motivate higher education to effectively use ever-expanding data and information resources. As the most current and comprehensive volume on the topic, the Handbook describes the fundamental knowledge, techniques, and strategies that define institutional research. The book contains an overview of the profession and its history, examines how institutional research supports executive and academic leadership and governance, and discusses the varied ways data from federal, state, and campus sources are used by research professionals. With contributions from leading experts in the field, this important resource reviews the analytic tools, techniques, and methodologies used by institutional researchers in their professional practice and covers a wide range of topics such as: conducting institutional research; statistical applications; comparative analyses; quality control systems; measuring student, faculty, and staff opinions; and management activities designed to improve organizational effectiveness.
Editor John Schuh and his fellow contributors, all experts in the field, detail the methodological aspects of conducting assessment projects specifically for the student affairs practitioner who is ready to conduct assessment projects, but is not quite sure how to manage their technical aspects. Using a variety of case studies and concrete examples to illustrate various assessment approaches, the authors lead the reader step-by-step through each phase of the assessment process with jargon-free, hands-on guidance.
This book constitutes refereed proceedings of the Fourth International Conference on Emerging Technology Trends in Electronics, Communication and Networking, ET2ECN 2021. The volume covers a wide range of topics, including electronic devices, VLSI design and fabrication, photo electronic systems and applications, integrated optics, embedded systems, wireless communication, optical communication, free-space optics, signal processing, image/audio/video processing, wireless sensor networks, next-generation networks, network security, and many others. The book will serve as a valuable reference resource for academia and researchers across the globe.
This volume challenges quantitative researchers to become more critical. By providing examples from the work of several prominent researchers, and by offering concrete recommendations, the editor and authors deliver messages that are likely to cause many educational researchers to reexamine their own work. Traditional quantitative research tends to be probabilistic, and often mass the experiences of many subgroups in the population. Most models, framesworks, and findings that appy to the majority of students and faculty may not adequately apply to important subpopulations as defined by their entry status, financial condition, residential origin, sex, ethnicity, and religious orientation. The collective efforts described here will help readers become more sensitive to the nuances among various educational groups, and to pay more attention to outliers. This volume supplies both motivation and analytical support to those who might incorporate criticality into their own quantitative work, as well as to those who wish read critical perspectives with an open mind about what they might find. This is the 133rd volume of the Jossey-Bass quarterly report series New Directions for Institutional Research.
Institutional research (IR) is a growing, applied, and interdisciplinary area that attracts people from a variety of fields, including computer programmers, statisticians, and administrators and faculty from every discipline to work in archiving, analyzing, and reporting on all aspects of higher education information systems. Cases on Institutional Research Systems is a reference book for institutional research, appealing to novice and expert IR professionals and the administrators and policymakers that rely on their data. By presenting a variety of institutional perspectives, the book depicts the challenges and solutions to those in higher education administration, and state, federal, and even international accreditation.
Providing adequate floor space in today's educational institutions to accommodate future growth has been facilitated by twenty-first century technology such as GIS data systems.
The development of e-learning systems, particularly, web-based education systems, has increased exponentially in recent years. Following this line, one of the most promising areas is the application of knowledge extraction. As one of the first of its kind, this book presents an introduction to e-learning systems, data mining concepts and the interaction between both areas.
This volume explores the seemingly incongruent forces of statistical reasoning and the law and sheds some light on how institutional reaseachers can use the two in a complementary manner to prevent a legal action or to help support the rebuttal of a prima facie case (i.e., one that at first glance presents sufficient evidence for the plaintiff to win the case). Until now, there has been little linkage between the disciplines of law and statistics. While the legal profession uses statistics to support an argument, interpretations of statistical outcomes may not follow scientific reasoning. Similarly, a great piece of statistical theory or a tried-and-true methodology among institutional research professionals may be thrown out of court if it fails to meet the rules of evidence or contradicts current legal standing. Chapters in this volume exploring this topic from a number of perspectives, including: The Art of Combining Statistics with the Law The Use of Data in Affirmative Action Litigation Statistical Evidence and Compliance with Title IX Organization and Maintenance of Data in Employment Discrimination Litigation Analyzing Personnel Selection Decisions in Employment Discrimination Litigation Settings Regression Analysis: Legal Applications in Institutional Research The information contained within this volume will benefit institutional research practitioners and contribute to a more frequent dialogue concerning the complexities of statistical science within the legal environment. This is the 138th volume of the Jossey-Bass quarterly report series New Directions for Institutional Research. Always timely and comprehensive, New Directions for Institutional Research provides planners and administrators in all types of academic institutions with guidelines in such areas as resource coordination, information analysis, program evaluation, and institutional management.