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ISBN:0275933016
Author: Leanna Stiefel
ISBN13: 978-0275933012
Title: Statistical Analysis for Public and Nonprofit Managers
Format: lrf txt mobi mbr
ePUB size: 1213 kb
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Language: English
Category: Social Sciences
Publisher: Praeger (February 28, 1990)
Pages: 223

Statistical Analysis for Public and Nonprofit Managers by Leanna Stiefel



Examples throughout have been chosen to be relevant to the not-for-profit organization and each chapter contains several "real-life" illustrations of how statistical techniques can be used in actual practice

Examples throughout have been chosen to be relevant to the not-for-profit organization and each chapter contains several real-life' illustrations of how statistical techniques can be used in actual practice. LEANNA STIEFEL is Associate Professor of Economics at New York University's Graduate School of Public Administration.

publisher "Praeger", } ty - book. T1 - Statistical Analysis for Public and Nonprofit Managers. AU - Stiefel, Leanna. N1 - Includes bibliographical references (pages 191-204) and index. KW - Corporations, Nonprofit. BT - Statistical Analysis for Public and Nonprofit Managers.

Designed for use by professionals and graduate-level students in public administration and not-for-profit management, this is a comprehensive, clearly written guide to the use of statistical analysis in the management of nonprofit organizations.

com Product Description (ISBN 0275933016, Hardcover). Designed for use by professionals and graduate-level students in public administration and not-for-profit management, this is a comprehensive, clearly written guide to the use of statistical analysis in the management of nonprofit organizations.

This is a comprehensive, clearly written guide to the use of statistical analysis in the management of not-for-profit organizations. Examples throughout have been chosen to be relevant to the not-for-profit organization and each chapter contains several "real-life" illustrations of how statistical techniques can be used in actual practice

She is author of Statistical Analysis for Public and Non-Profit Managers (1990), coau­ thor of The Measurement of Equity in School Finance (1984), and author of regularly published journal articles. She is past president of the American Education Finance Association and a m ember of the National Center for Education Statis­ tics Technical Planning Panel. 1 Measuring School Efficiency: What Have We Learned? Leanna Stiefel, Amy Ellen Schwartz, Ross Rubenstein, and Jeffrey Zabel Introduction The headline of an April 15, 2004, Palm Beach Post article about Florida's "Return on Education Index" proclaimed, "Web Site to Show Parents How Effi­ cient Schools Are" (Miller, 2004).

Total downloads of all papers by Leanna Stiefel. Public and Nonprofit Management and the Policy Pro. 4 Washington Square North. econometric analysis, educational reform, high schools, regression analyses, school reform, small schools, systemic effects, quasi-experimental analysis, urban high schools, urban education. 18. Best Schools, Worst Schools and Efficiency: A Reconciliation and Assessment of Alternative Classification Systems.

Leanna Stiefel of New York University, NY (NYU) with expertise in: Human Resources. Using rich, longitudinal data, we estimate the effects of residential mobility on the performance of New York City public school students. Using both student fixed effects and instrumental variables approaches, we find that long-distance moves have negative effects, while short-distance moves improve student performance. These differential effects are partially, but not fully, explained by school mobility.

Designed for use by professionals and graduate-level students in public administration and not-for-profit management, this is a comprehensive, clearly written guide to the use of statistical analysis in the management of nonprofit organizations. The volume emphasizes statistical models that use more than one variable and is unique in presenting multivariate statistics specifically with the public and nonprofit manager in mind. Examples throughout have been chosen to be relevant to the not-for-profit organization and each chapter contains several real-life illustrations of how statistical techniques can be used in actual practice. In addition to explaining statistical methods and techniques in detail, the author focuses on why statistics should be used and helps the reader obtain an intuitive grasp of the rationale behind the statistics. Because she stresses the logic of proofs and the limitations of results rather than the pure mathematics of statistical derivation, the volume is accessible to students and managers with only a little statistical background.

Following a chapter that introduces the concept of multivariate analysis, Stiefel explains simple and multiple regression models in detail. Later chapters discuss other techniques that are becoming widely used in not-for-profit organizations: logit and probit analysis, time-series models, and simultaneous equation models. Two types of examples are used to make the material immediately relevant to the not-for-profit manager: real-world examples culled from professional journals and reports in a variety of fields including health care, education, finance, budgeting, and administrative science; and examples of results obtained using statistical programs run on a personal computer. Thus the book enables the reader to understand and interpret both the statistics used in professional articles and statistical results as they appear on computer printouts. Four appendixes review basic statistical methods such as simple summation operators, the Pearson Correlation Coefficient, and hypothesis testing for the sample mean.