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Applied Statistics for Public and Nonprofit Administration 9th edition by Kenneth Meier, Jeffrey Brudney, John Bohte ISBN 1285974521 9781285974521

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ISBN 10: 1285974521
ISBN 13: 9781285974521
Author: Kenneth Meier, Jeffrey Brudney, John Bohte

As the first book ever published for public administration statistics courses, APPLIED STATISTICS FOR PUBLIC AND NONPROFIT ADMINISTRATION makes a difficult subject accessible to students and practitioners of public administration and to non-profit studies who have little background in statistics or research methods. Steeped in experience and practice, this landmark text remains the first and best in research methods and statistics for students and practitioners in public-and nonprofit-administration. All statistical techniques used by public administration professionals are covered, and all examples in the text relate to public administration and the nonprofit sector. Avoiding jargon and formula, this text uses a step-by-step approach that facilitates student learning.
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Applied Statistics for Public and Nonprofit Administration 9th Table of contents:

Part 1: Foundations of Quantitative Analysis

Ch 1: Statistics and Public and Nonprofit Administration

The Advantages of a Statistical Approach

Statistics and Options for Managers

The Role of Calculation

Academic Standards for Master’s Degree Programs in Public Affairs and Curricular Guidelines for No

A Road Map for This Book

Ch 2: Measurement

Theory of Measurement

Measurement Validity

Measurement Reliability

Types of Measures

Levels of Measurement

Performance Measurement Techniques

Chapter Summary

Problems

Ch 3: Research Design

Constructing Causal Explanations

Causal Relationships

Research Design

Experimental Designs of Research

Quasi-Experimental Designs of Research

Research Designs and Validity

Chapter Summary

Problems

Part 2: Descriptive Statistics

Ch 4: Frequency Distributions

Constructing a Frequency Distribution

The Percentage Distribution

Cumulative Frequency Distributions

Graphical Presentations

Tips for Graphical Presentations

Chapter Summary

Ch 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

Chapter Summary

Problems

Ch 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

Ch 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 Management

A Measurement Technique Based on Standard Normal Scores

Chapter Summary

Problems

Ch 8: The Binomial Probability Distribution

Binomial Probabilities

The Normal Curve and the Binomial Distribution

When to Use the Normal Curve

Chapter Summary

Problems

Ch 9: Some Special Probability Distributions

The Hypergeometric Probability Distribution

The Poisson Distribution

The Exponential Probability Distribution

Chapter Summary

Problems

Part 4: Inferential Statistics

Ch 10: Introduction to Inference

Some Definitions

Estimating a Population Mean

Estimating a Population Standard Deviation

The Standard Error

How Sample Size Affects the Standard Error

The t Distribution

An Example

Chapter Summary

Problems

Ch 11: Hypothesis Testing

Errors

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 Should a Person Be?

One- and Two-Tailed Tests

Determining Sample Size

Chapter Summary

Problems

Answers to Sample Null and Research Hypotheses

Ch 12: Estimating Population Proportions

Estimating a Population Proportion

Proportions

A Digression

Determining Sample Size

Decision Making

Chapter Summary

Problems

Ch 13: Testing the Difference between Two Groups

Stating the Research and Null Hypotheses for Difference of Means 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

Ch 14: Construction and Analysis of Contingency Tables

Percentage Distributions

Contingency Table Analysis

Larger Contingency Tables

Displaying Contingency Tables

Chapter Summary

Ch 15: Aids for the Interpretation of Contingency Tables

The Chi-Square Test: Statistical Significance for Contingency Tables

Assessing the Strength of a Relationship

Measures of Association

Chapter Summary

Problems

Ch 16: Statistical Control Table Analysis

Controlling for a Third Variable

Results and Implications of Control Table Analysis

Chapter Summary

Problems

Part 6: Regression Analysis

Ch 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 337

The Standard Error of the Slope

Chapter Summary

Problems

Answer to Regression Problem

Ch 18: The Assumptions of Linear Regression

Assumption 1

Assumption 2

Assumption 3

Assumption 4

Assumption 5

Chapter Summary

Problems

Ch 19: Time Series Analysis

Introduction to Time Series

Forecasting without Fluctuation

Forecasting an Exponential Trend

Forecasting with a Short-Term Fluctuation

Bivariate Forecasting

Chapter Summary

Problems

Ch 20: Multiple Regression

An Example

Calculating Partial Slopes

The Logic of Controls

Dummy Variable Regression

Regression with ThreeIndependent Variables

Testing a Hypothesis

Polynomial Curve Fitting

Chapter Summary

Problems

Ch 21: Regression Output and Data Management

Bivariate Regression Output

Multiple Regression Output

Dummy Variable Regression Output

What to Report when Discussing Regression Output

Data Management Issues

The Importance of Examining Descriptive Statistics Prior to Using More Advanced Statistical Techniqu

Chapter Summary

Problems

AnnotatedBibliography

Statistical Tables

Glossary

Answers to Odd-Numbered Computational Problems

Index

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