Sample surveys are a popular and viable alternative to official statistics and censuses. This book discusses some important methodologies for developing statistical designs, sample surveys and evaluation designs. Solved examples are included to illustrate each technique covered.
Sample surveys are a popular and viable alternative to official statistics and censuses. This book discusses some important methodologies for developing statistical designs, sample surveys and evaluation designs. Solved examples are included to illustrate each technique covered.
Tarun Kumar Roy is former Director of the International Institute for Population Sciences (IIPS) in Mumbai. He served as a faculty member at IIPS for more than three decades and taught courses on sampling design and the evaluation of family welfare programs to graduate students. He was actively engaged in conducting several large-scale surveys, and was engaged in the National Family Health Survey (also known as the India Demographic and Health Survey). He serves as an expert on the Sampling Review Committee for the Global Adult Tobacco Survey (GATS), being conducted by the National Foundation for the Centers for Disease Control and Prevention in Atlanta, USA.
Inhaltsangabe
Preface Acknowledgements Foreword Fred Arnold List of tables List of figures 1. Introduction to sample survey designs 2. Basic sampling designs 3. Multi-stage designs 4. Probability sampling under imperfect frame 5. Tackling non-sampling errors 6. Introduction to evaluation design 7. Designs for causal effects: setting comparison groups 8. Designs for causal effects: allocation of study units 9. Statistical tests for measuring impact 10. Case studies References Index.
Preface Acknowledgements Foreword Fred Arnold List of tables List of figures 1. Introduction to sample survey designs 2. Basic sampling designs 3. Multi-stage designs 4. Probability sampling under imperfect frame 5. Tackling non-sampling errors 6. Introduction to evaluation design 7. Designs for causal effects: setting comparison groups 8. Designs for causal effects: allocation of study units 9. Statistical tests for measuring impact 10. Case studies References Index.
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