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Planning for Higher Education Journal

Published
April 16, 2020

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Can You Trust Your Eyes?

Learn How to Minimize Misinterpretation of Data Reports and Visualizations

Volumes of data are available to administrators to support decision-making. But that doesn’t mean that what’s been presented is accurate. When data are misused or misconstrued, senior leaders at higher education institutions may make the wrong conclusions, ineffective policies may be enacted, and students may not be successful in completing their academic goals.

From Volume 48 Number 2 | January–March 2020

Abstract: Data analytics related to student and institutional performance have evolved quite rapidly—and continue to advance—as the field of data science captures more attention across the higher education sector. And while data-informed decisions can help institutional leaders achieve their goals, there are increasing examples of analyses or visualizations that, when presented without the proper framework, result in misinterpretation and inaccurate conclusions. Context is critical, and erroneous deductions may lead to decisions that adversely affect student performance, program development, and policy changes.

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Planning for Higher Education Journal

Published
March 5, 2020

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A Guide for Optimizing Resource Allocation

Link Assessment, Strategic Planning, and Budgeting to Achieve Institutional Effectiveness

By connecting assessment, strategic planning, and budgeting processes, the real needs and priorities of an institution are revealed. Colleges and universities can adapt the provided, step-by-step framework to their own institutional structure and methods.

From Volume 48 Number 2 | January–March 2020

Abstract: The article presents a framework for integrating assessment, strategic planning, and resource allocation at all levels of an institution. For that purpose, data are collected from academic departments and non-academic units. They are then integrated with strategic planning metrics into an assessment report that identifies the resources that need to be allocated, and to evaluate progress toward developing a strategic plan. The framework can be applied at the departmental or unit level, as well as at the institutional level. It provides valuable input for the budget process and can be used for updates in strategic planning.

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Planning for Higher Education Journal

Published
January 1, 2019

Developing a Benchmarking Survey for Academic Members of an International Academy

How to Create and Refine Tools and Collect Data for Measuring Performance

Toward sharing metrics between institutions and their academic programs, we discuss ways to identify critical components to be measured, navigate process challenges, and transfer knowledge.

From Volume 47 Number 2 | January–March 2019

Abstract: Benchmarking surveys assist programs with measuring performance and are widely used in a variety of organizations and disciplines, including institutions of higher education. One challenge facing institutions concerns a lack of shared metrics among those with similar programs. This article details the history and creation process of developing a benchmarking survey for an international academy. The purpose is to highlight the need for shared metrics between institutions, and to provide an account of the approach used for developing a benchmarking survey for academic programs. A detailed narrative of survey creation, refinement, and data collection associated with four survey iterations is included. Recommendations are provided for benchmarking development processes that may be beneficial for various institutions and disciplines regarding survey development, survey deployment, and survey project team composition.

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Planning for Higher Education Journal

Published
April 1, 2017

Fiscal Structure and Public College and University Credit Ratings

An Exploratory Analysis

By understanding how fiscal structure affects institutional credit ratings, leaders can better respond to today’s variable economic conditions.

From Volume 45 Number 3 | April–June 2017

Abstract: Using ordered response models often employed in public finance, we explore the possible determinants of public college and university credit ratings based on the fiscal structure of a number of institutions that are members of the Western Interstate Commission for Higher Education (WICHE). We argue that by understanding the role of fiscal structure in the determination of institutional credit ratings, leaders can respond appropriately to variable economic conditions. They can also begin to manage and plan the ways in which their operations and fiscal structure impact their debt costs through credit ratings.

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Planning for Higher Education Journal

Published
April 1, 2017

Planning at Mesa Community College

Integrated and Informed for Our Improvement

Within the span of a year, it’s possible to make significant progress toward achieving and institutionalizing integrated planning and budgeting.

From Volume 45 Number 3 | April–June 2017

Abstract: In an era of heightened accreditation expectations, declining resources, and increasing competition, tools such as integrated planning and budgeting, evidence-based decision-making (EBDM) processes, an overarching continuous quality improvement (CQI) framework, and up-to-date technology solutions for managing planning processes are no longer optional. While Mesa Community College (MCC) has a long history of planning, the integration of planning and budgeting was limited and our planning system was outdated (as in beyond end-of-life outdated). Additionally, planning and budgeting processes lacked EBDM practices and an overarching CQI framework. MCC’s Strategic Planning Committee set about remedying all of these issues and did so within the span of a year.

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Planning for Higher Education Journal

Published
April 1, 2017

So, You Need a New Chart of Accounts

Designing a new chart of accounts provides an opportunity to review and improve current practice and positively affect institutional financial data use and reporting.

From Volume 45 Number 3 | April–June 2017

Abstract: This article provides an overview of the process for the design of a new institutional chart of accounts. It includes some background as to the nature and purpose of a chart of accounts and also speaks to the details of the design process. Implications for data security and usability through design are highlighted, and practical tips on the process to ensure inclusion are featured.

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Planning for Higher Education Journal

Published
April 1, 2017

Redesigning a Budget Model with a Grassroots Approach

While redesigning a campus budget model could happen relatively quickly from a technical standpoint, time spent in extensive engagement, collaboration, and conversation is key to successful implementation.

From Volume 45 Number 3 | April–June 2017

Abstract: A budget model shapes the way a campus operates in a fundamental way. Redesigning a campus budget model could actually happen relatively quickly from a technical standpoint. However, extensive engagement, collaboration, and conversation are key to a successful implementation. In this article, the authors chart the budget model redesign process at UC Riverside, which followed a uniquely grassroots approach. Changing the budget model at UC Riverside was about changing mind-sets, incentives, and behaviors—not just about the numbers. UC Riverside’s phased approach to its redesign process may be instructive to other higher education institutions considering undertaking such a major change initiative.

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Planning for Higher Education Journal

Published
July 1, 2013

Employing College and University Credit Ratings as Indicators of Institutional Planning Effectiveness

Credit ratings can be an integral component of the planning process, particularly as an implicit indicator of institutional planning effectiveness.

From Volume 41 Number 4 | July–September 2013

Abstract: College and university credit ratings directly affect institutional budgeting and planning. Hence, they should be of special concern to those charged with institutional planning. This article underscores the critical role that the ratings issued by two major rating agencies play in institutional finances and planning. Because rating agencies take into account a broad range of criteria, credit ratings remain a robust indicator of creditworthiness and can serve as signaling devices regarding institutional market positioning. Therefore, decision makers should be aware of the importance of ratings as they seek to compete for students and resources in the short run and plan for the long term.

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Planning for Higher Education Journal

Published
July 1, 2011

Engaging Faculty Senates in the Budget Planning Process

The opinions of faculty may add to the development of productive strategies during tough economic times.

From Volume 39 Number 4 | July–September 2011

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Planning for Higher Education Journal

Published
October 1, 2007

Traffic Congestion on a University Campus

A Consideration of Unconventional Remedies to Nontraditional Transportation Patterns

Universities are in a special position to take information related to the patterns and causes of congestion and apply it to their planning goals. In particular, they can work effectively to reduce demand.

From Volume 36 Number 1 | October–December 2007

Abstract: U.S. transportation data suggest that the number of vehicle miles traveled has far surpassed new capacity, resulting in increased traffic congestion in many communities throughout the country. This article reports on traffic congestion around a university campus located within a small town. The mix of trip purposes varies considerably in this context, with the majority of trips related to student movement to and from classes. The university itself becomes a major traffic generator, but in a complex way. This article describes how congestion in a university setting differs from that in a nonuniversity setting; what components drive this congestion; how best to reduce this congestion while adhering to overall university planning objectives; and how to set a foundation for traffic management strategies that provide environmental, social, and economic benefit to the university and, importantly, to the surrounding community. The information presented here applies beyond the campus setting to any community that contains nontraditional traffic generators and shows why context does matter when analyzing and managing traffic.

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