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paperback. Condición: Very Good.

Paperback. Condición: new. Paperback. Higher education data quality evaluations, synonymous with data audits, are becoming increasingly important to institutions aspiring to provide evidence of student learning and success to a variety of stakeholders. This evolution is spurred by increased accountability and realizations that decision-making requires insights gleaned through data, preferably collected over time, and triangulated across multiple methods. The audience for this publication includes program coordinators, department heads, data analysts, and institutional leadership across different institutional types and sizes. Individuals with varying levels of data expertise can also benefit from this guide as the information is designed for cross-functional teams and extends beyond an individual role. A major goal of this guide is to provide resources and direction for how to facilitate data quality evaluations at the readers' respective campuses or organizations. Another, equally important, aim is for institutions to build capacity for data collection, communication of results, and associated best practices, including establishing key partnerships that will support current and future data-focused projects. Data sources and technology platforms may have increased substantially over time. However, the method by which campuses connect information, particularly student-level data, in consistent fashion is far less developed. This publication addresses some of the prevailing challenges in continuing to move the needle on data audit best practices. It also provides recommended activities to advance readers' understanding and application of successful data quality evaluation strategies. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

paperback. Condición: Fine.

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Condición: New. 2026. paperback. . . . . . Books ship from the US and Ireland.

Condición: New. 2026. paperback. . . . . .

Paperback. Condición: new. Paperback. Higher education data quality evaluations, synonymous with data audits, are becoming increasingly important to institutions aspiring to provide evidence of student learning and success to a variety of stakeholders. This evolution is spurred by increased accountability and realizations that decision-making requires insights gleaned through data, preferably collected over time, and triangulated across multiple methods. The audience for this publication includes program coordinators, department heads, data analysts, and institutional leadership across different institutional types and sizes. Individuals with varying levels of data expertise can also benefit from this guide as the information is designed for cross-functional teams and extends beyond an individual role. A major goal of this guide is to provide resources and direction for how to facilitate data quality evaluations at the readers' respective campuses or organizations. Another, equally important, aim is for institutions to build capacity for data collection, communication of results, and associated best practices, including establishing key partnerships that will support current and future data-focused projects. Data sources and technology platforms may have increased substantially over time. However, the method by which campuses connect information, particularly student-level data, in consistent fashion is far less developed. This publication addresses some of the prevailing challenges in continuing to move the needle on data audit best practices. It also provides recommended activities to advance readers' understanding and application of successful data quality evaluation strategies. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Paperback. Condición: new. Paperback. Higher education data quality evaluations, synonymous with data audits, are becoming increasingly important to institutions aspiring to provide evidence of student learning and success to a variety of stakeholders. This evolution is spurred by increased accountability and realizations that decision-making requires insights gleaned through data, preferably collected over time, and triangulated across multiple methods. The audience for this publication includes program coordinators, department heads, data analysts, and institutional leadership across different institutional types and sizes. Individuals with varying levels of data expertise can also benefit from this guide as the information is designed for cross-functional teams and extends beyond an individual role. A major goal of this guide is to provide resources and direction for how to facilitate data quality evaluations at the readers' respective campuses or organizations. Another, equally important, aim is for institutions to build capacity for data collection, communication of results, and associated best practices, including establishing key partnerships that will support current and future data-focused projects. Data sources and technology platforms may have increased substantially over time. However, the method by which campuses connect information, particularly student-level data, in consistent fashion is far less developed. This publication addresses some of the prevailing challenges in continuing to move the needle on data audit best practices. It also provides recommended activities to advance readers' understanding and application of successful data quality evaluation strategies. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Hardcover. Condición: New. Brand new book, sourced directly from publisher. Dispatch time is 7-8 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Condición: New.

Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: As New. Unread book in perfect condition.

Hardcover. Condición: Brand New. 224 pages. 9.02x5.98x0.71 inches. In Stock.