This ground-breaking collection features the diverse voices, experiences, and scholarship of cross-cultural women of American Indian, Asian American, Black/African American and Hispanic descent at various levels of academe, actively engaged in the advancement of marginalized groups in the U.S. and abroad through their scholarly work. Intergenerational cross-cultural scholars manifest a literary community that models ways in which women scholars can move beyond traditional institutional, psychological, and professional barriers to practice activism, break unwritten rules, and shatter status quo ‘business as usual’ practices in the academy. This distinctive volume exemplifies the phenomenon of cross-cultural women scholars conducting research and writing about ways in which they negotiate their professional realities toward professional goal attainment. Each chapter presents rigorous ethnographic research complemented by critical analyses, reflecting ways in which these self-determined scholars transcend barriers associated with the dynamic intersections of race, gender, ethnicity, class and language in higher education. Scholars share strategies for institutional, psychological, and professional barrier transcendence through various approaches such as educational leadership for equity, the practice of cross-cultural competence, various mentoring interactions, and the creation of and participation in networking groups with other women of color in academe. Students, academics, educational practitioners and individuals seeking exemplars for ethnographic research will find this critical book essential as a means for better informing their scholarship.

Multilevel modeling is an increasingly popular multivariate technique that is widely applied in the social sciences. Increasingly, practitioners are making instructional decisions based on results from their multivariate analyses, which often come from nested data that lend themselves to multilevel modeling techniques. As data-driven decision making becomes more critical to colleges and universities, multilevel modeling is a tool that will lead to more efficient estimates and enhance understanding of complex relationships. This volume illustrates both the theoretical underpinnings and practical applications of multilevel modeling in IR. It introduces the fundamental concepts of multilevel modeling techniques in a conceptual and technical manner. Providing a range of examples of nested models that are based on linear and categorical outcomes, it then offers important suggestions about presenting results of multilevel models through charts and graphs. This is the 154th volume of this Jossey-Bass quarterly report series. 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.

Stabilizing and Empowering Women in Higher Education: Realigning, Recentering, and Rebuilding is a book that addresses the challenges faced by women leaders in higher education during the current pandemic. The book is written by experts in the field and draws on emerging evidence-based practices and personal narratives to provide insights into strategies for emotional balance, self-care, and wellbeing for women leaders. It explores the challenges faced by women leaders in higher education and offers solutions for their wellbeing, including reframing and reinventing oneself during the pandemic. This volume is an essential read for women in leadership, faculty, administrators, professional staff, graduate students, and researchers. It provides valuable information and perspectives on creating access for marginalized groups, using roles as women leaders to create change, and nurturing and empowering women in leadership. Overall, it is a persuasive and powerful book that will help readers to realign, recenter, and rebuild in their personal and professional lives.

Higher education is becoming destabilized in the face of extraordinarily rapid change. The composition of the academy's most valuable asset—the faculty—and the essential nature of faculty work are being transformed. Jack H. Schuster and Martin J. Finkelstein describe the transformation of the American faculty in the most extensive and ambitious analysis of the American academic profession undertaken in a generation. A century ago the American research university emerged as a new organizational form animated by the professionalized, discipline-based scholar. The research university model persisted through two world wars and greatly varying economic conditions. In recent years, however, a new order has surfaced, organized around a globalized, knowledge-based economy, powerful privatization and market forces, and stunning new information technologies. These developments have transformed the higher education enterprise in ways barely imaginable in generations past. At the heart of that transformation, but largely invisible, has been a restructuring of academic appointments, academic work, and academic careers—a reconfiguring widely decried but heretofore inadequately described. This volume depicts the scope and depth of the transformation, combing empirical data drawn from three decades of national higher education surveys. The authors' portrait, at once startling and disturbing, provides the context for interpreting these developments as part of a larger structural evolution of the national higher education system. They outline the stakes for the nation and the challenging work to be done.

The development and widespread use of Web surveys have resulted in an outpouring of research on their design. In this volume, Tourangeau, Conrad, and Couper provide a comprehensive summary and synthesis of the literature on this increasingly popular method of data collection. The book includes new integration of the authors' work with other important research on Web surveys, including a meta-analysis of studies that compare reports on sensitive topics in Web surveys with reports collected in other modes of data collection. Adopting the total survey error framework, the book examines sampling and coverage issues, nonresponse, measurement, and the issues involved in combining modes. In addition, the concluding chapter provides a model for understanding the errors in estimates that combine data collected in more than one mode. Web surveys have several important characteristics that affect their ability to collect accurate survey data. Discussing these in detail, the authors address basic design decisions from input widgets to background colors. They additionally focus on the visual character of Web surveys, on their ability to automatically interact with respondents, and on the Web as a method of self-administration. The Science of Web Surveys is relevant for those with the practical goal of improving their own surveys and those with an interest in understanding an increasingly important method of data collection.

This is a study of higher education in the world's four largest developing economies—Brazil, Russia, India, and China. Already important players globally, by mid-century, they are likely to be economic powerhouses. But whether they reach that level of development will depend in part on how successfully they create quality higher education that puts their labor forces at the cutting edge of the information society. Using an empirical, comparative approach, this book develops a broad picture of the higher education system in each country in the context of both global and local forces. The authors offer insights into how differing socioeconomic and historic patterns of change and political contexts influence developments in higher education. In asking why each state takes the approach that it does, this work situates a discussion of university expansion and quality in the context of governments' educational policies and reflects on the larger struggles over social goals and the distribution of national resources.

Science, technology, engineering and mathematics (STEM) professionals generate a stream of scientific discoveries and technological innovations that fuel job creation and national economic growth. Ensuring a robust supply of these professionals is critical for sustaining growth and creating jobs growth at a time of intense global competition. Undergraduate STEM education prepares the STEM professionals of today and those of tomorrow, while also helping all students develop knowledge and skills they can draw on in a variety of occupations and as individual citizens. However, many capable students intending to major in STEM later switch to another field or drop out of higher education altogether, partly because of documented weaknesses in STEM teaching, learning and student supports. Improving undergraduate STEM education to address these weaknesses is a national imperative. Many initiatives are now underway to improve the quality of undergraduate STEM teaching and learning. Some focus on the national level, others involve multi-institution collaborations, and others take place on individual campuses. At present, however, policymakers and the public do not know whether these various initiatives are accomplishing their goals and leading to nationwide improvement in undergraduate STEM education. Indicators for Monitoring Undergraduate STEM Education outlines a framework and a set of indicators that document the status and quality of undergraduate STEM education at the national level over multiple years. It also indicates areas where additional research is needed in order to develop appropriate measures. This publication will be valuable to government agencies that make investments in higher education, institutions of higher education, private funders of higher education programs, and industry stakeholders. It will also be of interest to researchers who study higher education.

This book offers a comprehensive rethinking of the theory and practice of service-learning in higher education. Democratic and community engagement are vital aspects of linking colleges and communities, and this book critically engages the best practices and powerful alternative models in the academy. Drawing on key theoretical insights and empirical studies, Butin details the limits and possibilities of the future of community engagement in developing and sustaining the engaged campus.