Performance Analysis for Public and Nonprofit Organizations
Performance Analysis for Public and Nonprofit Organizations provides a step-by-step guide on how to conduct applied performance analysis to improve performance for public and nonprofit organizations. It is designed as a how-to-do manual for public and nonprofit managers who want to know how to conduct performance analysis. It features a practical case-study approach, and includes plentiful exercises and examples with easy-to-use demonstrations of Microsoft Excel. The book focuses on application of performance analysis tools, not the theory of performance management. This text is an effective learning tool for students in analytical technique courses in public administration and policy programs. With other texts, students may learn about a statistical concept and calculation, but still don't understand the managerial context where the statistical tool applies. Consequently, they often fail to understand the managerial importance of statistical tools they learn, and worse, fail to recognize the correct tool to use when a managerial issue rises. This book corrects this problem by providing a managerial context that bridges statistical concepts and the managerial reality. The managerial context is performance management, in which performance data are presented, monitored, and analyzed. It is in this performance management context that the usefulness and applicability of statistical tools are illuminated for the learner. Thoroughly classroom-tested, the book is designed as a textbook for courses of analytical and statistical techniques in public administration and nonprofit management. Each chapter starts with a discussion of tools and related concepts with examples, then presents a factual case study to demonstrate the use of the tools, and ends with a list of practice questions. Equipped with the latest research, the book is also designed for public and nonprofit managers on how to use performance information to improve organizational performance.
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What Is Performance Analysis?
What Is Needed for Performance Analysis?
Describing Performance Trend
The Mean Comparison
The Significance Level and Conclusion
Appendix A Statistical Topics Coverage
Useful Web Sites
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academic performance alternative hypothesis assess average response balanced scorecard calculate causes of underperformance Chapter citizen satisfaction city’s column comparison confidence interval confounding variables contingency table control group crime rate develop dif ferent error rate estimate evidence to indicate example Excel Data Analysis Excel Insert Function F test formance graduation rate hypothesis test impact increase independent variable inferential statistics inputs Insert Function fx mance mean minutes nonprofit null hypothesis number of processing one-tailed test organization’s outcome output P-value participating percentage performance analysis performance evaluation performance improvement performance measures performance monitoring performance trend police response population Practice Problem prediction processing days processing speed regression model reject the null relationship residents satisfaction rate score shown in Screen shows significance level standard deviation standard error strategies sufficient evidence survey Table theory TTEST two-tailed test update users variance z-score