Exercising Essential Statistics
4th Edition
Published on 28. March 2017
Book
Paperback/Softback
184 pages
978-1-5063-4895-7 (ISBN)
Description
Through the use of critical thinking questions and data-based exercises Exercising Essential Statistics helps students apply the techniques described in Essential Statistics for Public Managers and Policy Analysts, Fourth Edition. This accompanying workbook gives students the opportunity to practice these techniques through hands-on, carefully crafted exercises. Various examples are provided from human resource management, organizational behavior, budgeting, and public policy to illustrate how public administrators interact with and analyze data.
More details
Edition
4th Revised edition
Language
English
Place of publication
Washington
United States
Publishing group
SAGE Publications Inc
Target group
College/higher education
Edition type
Revised edition
Dimensions
Height: 279 mm
Width: 216 mm
Weight
520 gr
ISBN-13
978-1-5063-4895-7 (9781506348957)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Previous edition
Evan M. Berman | Xiaohu Wang
Exercising Essential Statistics
Book
01/2012
3rd Edition
CQ Press
€81.89
Article exhausted; check for reprint
Persons
Evan M. Berman is Professor of Public Management at Fundacao Getulio Vargas, EAESP (Sao Paulo, Brazil), specializing in human resource management, public performance, and comparative public administration. Previously, he was Huey McElveen Distinguished Professor at Louisiana State University. Dr. Berman is ranked among the very top scholars in public administration world-wide. He has received the Outstanding Scholarship Award from the American Society for Public Administration (Section on Personnel and Labor Relations) for contributions to research, teaching and service in public sector HRM, and many other awards, including from the Network of Schools of Public Policy, Affairs, and Administration (NASPAA), the accrediting body for public administration programs. He has authored 15 books and over 175 publications, in all of the leading journals of the discipline. Dr Berman has chaired ASPA's Section on Personnel and Labor Relations, he is founding editor of ASPA's Book Series in Public Administration and Public Policy, senior editor of Public Performance and Management Review, and a Distinguished Fulbright Scholar. His 2023 book, Performance and Innovation in the Public Sector (with I. Hijal-Moghrabi), won the 2024 ASPA/SPALR Outstanding Book Award. Evan is a Fellow of the National Academy of Public Administration and Visiting Professor at Fudan University (Shanghai) and University of Indonesia (Jakarta).
Content
Introduction
Chapter 1 Why Statistics for Public Managers and Analysts?
Q & A
Critical Thinking
Application Exercises
Further Reading
Chapter 2 Research Design
Q & A
Critical Thinking
Application Exercises
Further Reading
Chapter 3 Conceptualization and Measurement
Q & A
Critical Thinking
Application Exercises
Further Reading
Chapter 4 Measuring and Managing Performance: Present and Future
Q & A
Critical Thinking
Application Exercises
Further Reading
Chapter 5 Data Collection
Q & A
Critical Thinking
Application Exercises
Further Reading
Chapter 6 Central Tendency
Q & A
Critical Thinking
Data-Based Exercises
Further Reading
Chapter 7 Measures of Dispersion
Q & A
Critical Thinking
Data-Based Exercises
Further Reading
Chapter 8 Contingency Tables
Q & A
Critical Thinking
Data-Based Exercises
Further Reading
Chapter 9 Getting Results
Q & A
Critical Thinking
Data-Based Exercises
Further Reading
Chapter 10 Introducing Inference: Estimation from Samples
Q & A
Critical Thinking
Data-Based Exercises
Further Reading
Chapter 11 Hypothesis Testing with Chi-Square
Q & A
Critical Thinking
Data-Based Exercises
Further Reading
Chapter 12 The T-Test
Q & A
Critical Thinking
Data-Based Exercises
Further Reading
Chapter 13 Analysis of Variance (ANOVA)
Q & A
Critical Thinking
Data-Based Exercises
Further Reading
Chapter 14 Simple Regression
Q & A
Critical Thinking
Data-Based Exercises
Further Reading
Chapter 15 Multiple Regression
Q & A
Critical Thinking
Data-Based Exercises
Further Reading
Chapter 16 Logistic Regression and Time Series Regression
Q & A
Critical Thinking
Data-Based Exercises
Further Reading
Chapter 17 Survey of Other Techniques
Q & A
Critical Thinking
Data-Based Exercise
Further Reading
Chapter 18 Excel User's Guide
Loading the Data Analysis ToolPak
Locating the Insert Function (fx)
The Excel Sheet Screen and Descriptive Statistics Procedure
Frequency Distributions
Chi-Square Test
One-Sample T-Test
Two-Samples T-Test
ANOVA
Regression
Creating Charts in Excel
Chapter 19 SPSS User's Guide
SPSS Screens
Creating a Variable
Univariate Analysis: Means and Frequency Distributions
Variable Labels and Values
Defining Missing Values
Selecting a Subset of Observations for Analysis
Index Variables I: Cronbach Alpha
Index Variables II: Construction
Recoding Data
Hypothesis Testing with Chi-Square
T-Tests
Conclusion
Chapter 20 Dataset Documentation
Public Perceptions
Employee Attitudes
Community Indicators
Watershed
Productivity
Crime
Time
Florida County Conservation Spending Database
Chapter 1 Why Statistics for Public Managers and Analysts?
Q & A
Critical Thinking
Application Exercises
Further Reading
Chapter 2 Research Design
Q & A
Critical Thinking
Application Exercises
Further Reading
Chapter 3 Conceptualization and Measurement
Q & A
Critical Thinking
Application Exercises
Further Reading
Chapter 4 Measuring and Managing Performance: Present and Future
Q & A
Critical Thinking
Application Exercises
Further Reading
Chapter 5 Data Collection
Q & A
Critical Thinking
Application Exercises
Further Reading
Chapter 6 Central Tendency
Q & A
Critical Thinking
Data-Based Exercises
Further Reading
Chapter 7 Measures of Dispersion
Q & A
Critical Thinking
Data-Based Exercises
Further Reading
Chapter 8 Contingency Tables
Q & A
Critical Thinking
Data-Based Exercises
Further Reading
Chapter 9 Getting Results
Q & A
Critical Thinking
Data-Based Exercises
Further Reading
Chapter 10 Introducing Inference: Estimation from Samples
Q & A
Critical Thinking
Data-Based Exercises
Further Reading
Chapter 11 Hypothesis Testing with Chi-Square
Q & A
Critical Thinking
Data-Based Exercises
Further Reading
Chapter 12 The T-Test
Q & A
Critical Thinking
Data-Based Exercises
Further Reading
Chapter 13 Analysis of Variance (ANOVA)
Q & A
Critical Thinking
Data-Based Exercises
Further Reading
Chapter 14 Simple Regression
Q & A
Critical Thinking
Data-Based Exercises
Further Reading
Chapter 15 Multiple Regression
Q & A
Critical Thinking
Data-Based Exercises
Further Reading
Chapter 16 Logistic Regression and Time Series Regression
Q & A
Critical Thinking
Data-Based Exercises
Further Reading
Chapter 17 Survey of Other Techniques
Q & A
Critical Thinking
Data-Based Exercise
Further Reading
Chapter 18 Excel User's Guide
Loading the Data Analysis ToolPak
Locating the Insert Function (fx)
The Excel Sheet Screen and Descriptive Statistics Procedure
Frequency Distributions
Chi-Square Test
One-Sample T-Test
Two-Samples T-Test
ANOVA
Regression
Creating Charts in Excel
Chapter 19 SPSS User's Guide
SPSS Screens
Creating a Variable
Univariate Analysis: Means and Frequency Distributions
Variable Labels and Values
Defining Missing Values
Selecting a Subset of Observations for Analysis
Index Variables I: Cronbach Alpha
Index Variables II: Construction
Recoding Data
Hypothesis Testing with Chi-Square
T-Tests
Conclusion
Chapter 20 Dataset Documentation
Public Perceptions
Employee Attitudes
Community Indicators
Watershed
Productivity
Crime
Time
Florida County Conservation Spending Database