Research Methods and Statistics for Public and Nonprofit Administrators
eBook - ePub

Research Methods and Statistics for Public and Nonprofit Administrators

A Practical Guide

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Research Methods and Statistics for Public and Nonprofit Administrators

A Practical Guide

About this book

"The approach is well executed. The problems encountered by [the characters] represent real-life issues than administrators are faced with and the applications needed to address them."

—Lee W. Payne, Stephen F. Austin State University

Research Methods and Statistics for Public and Nonprofit Administrators: A Practical Guide is a comprehensive, easy-to-read, core text that thoroughly prepares readers to apply research methods and data analysis to the professional environments of public and non-profit administration. The authors expertly incorporate original case examples to demonstrate concepts using "real actors," facing specific scenarios, in which research methods must be applied. This unique approach—presented in language accessible to both students new to research as well as current practitioners—guides the reader in fully understanding the research options detailed throughout the text.

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Yes, you can access Research Methods and Statistics for Public and Nonprofit Administrators by Masami Nishishiba,Matthew Jones,Mariah Kraner in PDF and/or ePUB format, as well as other popular books in Politics & International Relations & Public Affairs & Administration. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half Title
  3. Acknowledgements
  4. Title Page
  5. Copyright Page
  6. Contents
  7. Preface
  8. Acknowledgements
  9. Section I: Research Design and Data Collection
  10. 1 When a Practitioner Becomes a Researcher
  11. 2 Research Alignment
  12. 3 Identifying the Focus of the Research: Research Objective and Research Question
  13. 4 Research Design
  14. 5 Sample Selection
  15. 6 Data Collection
  16. Section II: Data Analysis
  17. 7 Quantitative Data Preparation and Descriptive Statistics
  18. 8 Hypothesis Testing and Statistical Significance: Logic of Inferential Statistics
  19. 9 Comparing Means between Two Groups
  20. 10 Comparing Means of more than Two Groups: Analysis of Variance (ANOVA)
  21. 11 Bivariate Correlation
  22. 12 Chi-Square Analysis
  23. 13 Regression Analysis
  24. 14 Qualitative Data Analysis
  25. Section III: Summing Up: Putting the Pieces Together
  26. 15 Writing Reports
  27. 16 Using Research Methods for Continuous Improvement: Program Evaluation and Performance Measurement
  28. Appendices
  29. Glossary
  30. Index
  31. About the Authors