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9781568026473

Essential Statistics for Public Managers and Policy Analysts

by
  • ISBN13:

    9781568026473

  • ISBN10:

    1568026471

  • Format: Paperback
  • Copyright: 2001-09-01
  • Publisher: Cq Pr

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Supplemental Materials

What is included with this book?

Author Biography

Evan M. Berman is associate professor in the Department of Public Administration at the University of Central Florida in Orlando.

Table of Contents

Preface xv
Statistics Roadmap xx
Introduction xxiii
Why Research? An Introduction
1(26)
Chapter Objectives
1(2)
Research Design
3(8)
Six Steps
3(2)
Relationships
5(3)
Rival Hypotheses and Limitations of Experimental Study Designs
8(3)
Measurement and Sampling
11(7)
Measuring Concepts
11(1)
Measuring Variables: Levels and Scales
12(4)
Measuring Variables: Sampling
16(2)
Data Collection
18(5)
Administrative Data
18(1)
Surveys
19(1)
Other Data Sources
20(1)
Putting It Together
21(2)
Conclusion
23(1)
Key Terms
24(1)
Notes
24(3)
Univariate Analysis: Description
27(22)
Chapter Objectives
27(2)
Measures of Central Tendency
29(6)
The Mean
29(1)
The Median
30(2)
The Mode
32(1)
Using Grouped Data
33(2)
Measures of Dispersion
35(10)
Boxplots
35(3)
Frequency Distributions
38(2)
Standard Deviation
40(5)
Conclusion
45(1)
Key Terms
45(1)
Notes
46(3)
Hypothesis Testing with Chi-Square
49(22)
Chapter Objectives
49(1)
Contingency Tables
50(1)
Chi-Square
51(2)
Hypothesis Testing
53(11)
The Null Hypothesis
55(1)
Statistical Significance
56(1)
The Five Steps of Hypothesis Testing
57(2)
Chi-Square Test Assumptions
59(1)
Statistical Significance and Sample Size
60(2)
A Useful Digression: The Goodness-of Fit Test
62(2)
The Practical Significance of Relationships
64(2)
Rival Hypotheses: Adding a Control Variable
66(1)
Conclusion
67(2)
Key Terms
69(1)
Notes
69(2)
Measures of Association
71(22)
Chapter Objectives
71(1)
Proportional Reduction in Error
72(2)
Calculating PRE
72(1)
Paired Cases
73(1)
Statistics for Two Nominal Variables
74(6)
Two Nominal Variables
75(2)
The Problem of Dependent Samples
77(1)
Small Sample Tests for Two-By-Two Tables
78(2)
Statistics for Mixed Ordinal-Nominal Data
80(4)
Evaluating Rankings
80(3)
Equivalency of Two Samples
83(1)
Statistics for Two Ordinal Variables
84(3)
Conclusion
87(1)
Key Terms
88(1)
Notes
88(5)
T-Tests and Anova
93(24)
Chapter Objectives
93(1)
Creating Index Variables
94(2)
T-Tests
96(8)
T-Test Assumptions
98(3)
A Working Example
101(3)
Analysis of Variance
104(7)
ANOVA Assumptions
108(1)
A Working Example
108(3)
Conclusion
111(1)
Key Terms
112(1)
Notes
113(4)
Regression I: Estimation
117(18)
Chapter Objectives
117(1)
Simple Regression
118(6)
Scatterplot
119(1)
Test of Significance
119(2)
Goodness of Fit
121(2)
Assumptions and Notation
123(1)
Multiple Regression
124(7)
Model Specification
124(2)
A Working Example
126(2)
Goodness of Fit for Multiple Regression
128(1)
Standardized Coefficients
128(1)
F-Test
129(1)
Use of Nominal Variables
129(2)
Conclusion
131(1)
Key Terms
132(1)
Notes
132(3)
Regression II: Assumptions, Time Series
135(24)
Chapter Objectives
135(1)
Testing Assumptions
136(9)
Outliers
136(1)
Multicollinearity
137(2)
Linearity
139(1)
Heteroscedasticity
140(2)
Measurement and Specification
142(3)
Time Series Analysis
145(6)
Detecting Autocorrelation
145(1)
Correcting Autocorrelation
146(2)
Policy Evaluation
148(2)
Lagged Variables
150(1)
Forecasting
151(6)
Forecasting with Few Observations
152(3)
Forecasting with Periodic Effects
155(2)
Conclusion
157(1)
Key Terms
157(1)
Notes
158(1)
Advanced Statistics
159(18)
Chapter Objectives
159(1)
Logistic Regression
160(3)
Path Analysis
163(3)
Survival Analysis
166(1)
Regression-Based Forecasting
167(4)
Forecasting with Leading Indicators
168(1)
Curve Estimation
168(1)
Exponential Smoothing
169(2)
ARIMA
171(1)
Precis of Other Techniques
171(3)
Beyond Logistic Regression
172(1)
Exploratory Analysis
172(1)
Beyond Life Tables
173(1)
Beyond One-Way ANOVA
173(1)
Beyond Path Analysis
174(1)
Conclusion
174(1)
Key Terms
175(1)
Notes
175(2)
Appendix: Statistical Tables 177
Normal Distribution
178
Chi-square Distribution
179
T-test Distribution
180
F-test Distribution
181
Durbin-Watson Distribution
185

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