PART ONE: INTRODUCTION Why Statistics for Public Managers and Analysts? PART TWO: RESEARCH METHODS Research Design Conceptualization and Measurement Measuring and Managing Performance: Present and Future Data Collection PART THREE: DESCRIPTIVE STATISTICS Central Tendency Measures of Dispersion Contingency Tables Getting Results PART FOUR: INFERENTIAL STATISTICS Hypothesis Testing with Chi-square Measures of Association The T-test Analysis of Variance (ANOVA) Simple Regression Multiple Regression PART FIVE: FURTHER STATISTICS Logistic Regression Time Series Analysis Survey of Other Techniques Appendix: Statistical Tables.
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- additional material on performance management, going beyond an emphasis on performance measurement. (source: Nielsen Book Data)