Research Methods for Public Administrators contains a thorough overview of research methods and statistical applications for advanced undergraduate and graduate students and practitioners. Concepts and applications are discussed and illustrated with examples from actual research.
Research Methods for Public Administrators contains a thorough overview of research methods and statistical applications for advanced undergraduate and graduate students and practitioners. Concepts and applications are discussed and illustrated with examples from actual research.
Gary Rassel is Emeritus Professor in the Department of Political Science and Public Administration at the University of North Carolina at Charlotte. Suzanne Leland is Professor in the Department of Political Science and Public Administration at the University of North Carolina at Charlotte. Zachary Mohr is Associate Professor in the Department of Political Science and Public Administration at the University of North Carolina at Charlotte. Elizabethann O'Sullivan, Professor Emeritus in the School of Public and International Affairs at North Carolina State University, passed away in 2014.
Inhaltsangabe
1. Beginning a Research Project 2. Research Designs for Description 3. Research Designs for Explanation 4. Measuring Variables 5. Sampling 6. Contacting and Talking to Subjects 7. Collecting Data with Questions and Questionnaires 8. Protection of Human Research Subjects and Other Ethical Issues 9. Finding and Analyzing Existing Data 10. Combining Indicators and Constructing Indices 11. Univariate Analysis 12. Examining Relationships Between Variables with Tests of Statistical Significance 13. Examining Relationships Between Nominal and Ordinal Variables: Contingency Tables, Measures of Association and Control Variables 14. Regression Analysis and Correlation 15. Completing the Project and Communicating Findings
1. Beginning a Research Project 2. Research Designs for Description 3. Research Designs for Explanation 4. Measuring Variables 5. Sampling 6. Contacting and Talking to Subjects 7. Collecting Data with Questions and Questionnaires 8. Protection of Human Research Subjects and Other Ethical Issues 9. Finding and Analyzing Existing Data 10. Combining Indicators and Constructing Indices 11. Univariate Analysis 12. Examining Relationships Between Variables with Tests of Statistical Significance 13. Examining Relationships Between Nominal and Ordinal Variables: Contingency Tables, Measures of Association and Control Variables 14. Regression Analysis and Correlation 15. Completing the Project and Communicating Findings
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