Inclui bibliografia e índice.

PART 1 - FOUNDATIONS OF QUANTITATIVE ANALYSIS; CHAPTER 1 - STATISTICS AND PUBLIC AND NONPROFIT ADMINISTRATION; - The advantages of a statistical approach; - Statistic and options for managers; - The role of calculation; - Academic standards for master's degree in oublic affairs and curricular guidekines for nonprofit academic programs; - A road map for this book; CHAPTER 2 - MEASUREMENT; - Theory of measurement; - Measurement validity; - Measurement reliability; - Increasing reliability; - Measuring reliability; - Types of measures; - Levels of measurement; - The implications of selecting a particular level of measurement; - Performance measurement techniques; - Defining inputs, outputs, and outcomes; - Inputs, outputs, and efficiency; - Outcome measures from external sources; - The importance of using multipla output and outcome measures; - Benchmarking; - Chapter summary; - Problems; CHAPTER 3 - RESEARCH DESIGN; - Constructing casual explanations; - Casual Relationships; - Research design; - Experimental designs of research; - Internal validity; - External validity; - Quasi-Experimental designs of research; - Internal validity; - External validity; - Research designs and validity; - Chapter summary; - Problems; PART 2 - DESCRIPTIVE STATISTICS; CHAPTER 4 - FREQUENCY DISTRIBUTIONS; - Constructing a fequency distribution; - The percentagem distribution; - Cumulative frenquency distributions; - Graphical presentations; - Tips for graphical presentations; - Selecting the content; - Selecting the format; - Selecting the scale; - Chapter summary; - Problems; CHAPTER 5 - MEASURES OF CENTRAL TENDENCY; - The mean; - The median; - The mode; - The mean versus the median; - Levels of measurement and measures of central tendency; - Hierarchy of measurement; - Some cautions; - Chaprer summary; - Problems; CHAPTER 6 - MEASURES OF DISPERSION; - The standard deviation; - Shape of a frequency distribution and measures of central tendency; - Using measures of dispersion and central tendency together; - Chapter summary; - Problems; PART 3 - PROBABILITY; CHAPTER 7 - THE NORMAL PROBABILITY DISTRIBUTION; - Characteristics of the normal distribution; - Z Scores and the normal distribution table; - Applications of the normal distribution to public and nonprofit mangement; - A measurement technique bases on standard normal scores; - Chapter summary - Problems; CHAPTER 8 - THE BINOMIAL PROBABILITY DISTRIBUTION; - Binomial porbabilities; - The normal curve and the binomial distribution; - When to use the normal curve; - Chapter summary; - Problems; CHAPTER 9 - SOME SPECIAL PROBABILITY DISTRIBUTIONS; - The poisson distribution; -The exponential probability Distribution; - Chapter summary; - Problems; PART 4 - INFERENTIAL STATISTICS; CHAPTER 10 - INTRODUCTION TO INFERENCE; - Some definitions; - Estimating a population mean; - Estimating a population standard deviation; - The standard error; - How sample siza affects the standard error; - The t distribution; - An example; - Chapter summary; - Problems; CHAPTER 11 - HYPOTHESIS TESTING; - Steps in hypothesis testing; - The importance of stating the null and alternative hypotheses correctly; - Testing hypotheses with population parameters; - Hypothesis testing with samples; - How sure sure should a person be? - One-and two-tailed tests; - Errors; - Determining sample size; - Chapter summary; - Problems; - Answers to sample null and research hypotheses; CHAPTER 12 - ESTIMATING POPULATION PROPORTIONS; - Estimating a population proportion; - Proportions; - A digression; - Determining sample size; - Decision making; - Chapter summary; - Problems; CHAPTER 13- TESTING THE DEFFERENCE BETWEEN TWO GROUPS; - Stating the research and null hypotheses for fifference of meand tests; - Difference of means procedure; - Understanding the three major difference of means tests; - t Test assuming independent samples with unequal variances; - t Test assuming independent samples with equal variances; - t Test assuming dependent samples; - Proportions; - Chapter summary; - problems PART 5 - ANALYSIS OF NOMINAL AND ORDINAL DATA; CHAPTER 14 - CONSTRUCTION AND ANALYSIS OF CONTINGENCY TABLES; - Percentage distributions; - Steps in percentaging; - Displaying and interpreting percentage distributions; - Collapsing percentage distributions; - Contigency table analysis; - Constructing contingency tables; - Relationships between variables; - Example: automobile maintenance in berrysville; - Larger contingency tables; - Displaying contingency tables; - Chapter summary; - Problems; CHAPTER 15 - AIDS FOR THE IMTERPRETATION OF CONTIGENCY TABLES; - The chi-square test: Statistical significance for contingency tables; - Example: Incompetence in the federal government? - Limitations of the Chi-Square test; - Assessing the strength of a relationship; - The percentage diference; - Perfect and null relationships; - Measures of association; - An ordinal measure of association: Gamma: Other ordinal measures of association: - Kendall's tau-b and tau-c and somers's dyx and dxy; - A nominal measure of association: Lambda - A nominal measure of association based on chi-square: Cramér's V; - Use of nominal measures of association with ordinal data chapter summary; - Problems; CHAPTER 16 - STATISTICAL CONTROL TABLE ANALYSIS; - Controlling for a third variable; - Example 1: Alcoholism in the postal service - The effect of hierarchical position; - Example 2A: Performance on the civil service examination - A case of faviritism in blakely?; - Example 2B: Race, education, and complaits - Adevelopmental sequence; - Example 3: Guaranteed annual income - A case of interaction; - Example 4: Support for performance-bsed pay-evidence of joint causation; - Results and implications of control table analysis; - Limitations of the control table technique; - Multivariate relationships; - The source of control variable; - Chapter summary; - Problems; PART 6 - REGRESSION ANALYSIS; CHAPTER 17 - INTRODUCTION TO REGRESSION ANALYSIS; - Relationships between variables; - Ode to eyeballing; - Linear regression; - Some applications; - An example; - Measures of goodness of fit; - The standard error of the estimate; - The coefficient of determination; - The standard erros of the slope; - Chapter summary; - Problems; - Answer to regression problem; CHAPTER 18 - THE ASSUMPTIONS OF LINEAR REGRESSION; - Assumption 1; - Assumption 2; - Assumption 3; - Assumption 4; - Assumption 5; - Chapter summary; - Problems; CHAPTER 19 - TIME SERIES ANALYSIS; - Introduction to time series; - Forecasting without fluctuation; - Forecastingan exponential trend; - Forecasting with a short-term fluctuation; - Bivariate forecasting; - Chapter summary; - Problems; CHAPTER 20 - MULTIPLE REGRESSION; - An example; - Calculating partial slopes; - the logic of controls; - A spurious relationship; - A specification; - Dummy variable regression; - Regression with theree independent variables; - An example; - Calculating regression coefficients; - Testing a hypothesis; - Two additional regression assumptions; - Assumption 1: Model is specified correctly; - Assumption 2: Low multicollinearity; - Polynomial curve fitting; - Quadratic relationships; - Cubic regression; - Chapter summary; - Problems; CHAPTER 21 - REGRESSION OUTPUT AND DATA MANAGEMENT; - Bivariate regression output; - Example 1; - Example 2; - Multiple regression output; - Standardized coefficients; - The f statistic; - Dummy varieble regression output; - Coefficients; - What to report when discussing regression output; - What to report when discussing; - Regression output; - Data management issues; - Managing data sets; - Missing values; - The importance of examining descriptive statistics prior to using more advance statistical techniques; - The range and other descriptive statistics; - The importance of plotting data before analysis; - Chapter summary; - Problems.