Statistical Survey Design and Evaluating Impact
eBook - PDF

Statistical Survey Design and Evaluating Impact

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Statistical Survey Design and Evaluating Impact

About this book

Statistical designs, sample surveys and evaluation designs are fundamental tools for solving queries related to population parameters and the effects of public programs and policies. This book explores the concepts of effective sampling and evaluation techniques in a cohesive and concise manner. Sampling design techniques, including simple random sampling, stratified sampling, systematic sampling and cluster sampling, are presented in detail. These techniques play a vital role when choosing an appropriate sample survey design. The concepts of multistage design, non-sampling errors and evaluation techniques including before-after design, one-time treatment and control design are discussed extensively. The book focuses on different methods of estimation, including multiple regression analysis and logistic regression. It covers the issue of bias in a design, the source of such bias and ways to overcome it. Clear guidelines with remedial measures are outlined to facilitate choosing a suitable sampling design.

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Yes, you can access Statistical Survey Design and Evaluating Impact by Tarun Kumar Roy,Rajib Acharya,Arun Roy in PDF and/or ePUB format, as well as other popular books in Social Sciences & Social Science Research & Methodology. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Statistical Survey Design and Evaluating Impact
  3. Title
  4. Copyright
  5. Dedication
  6. Contents
  7. Figures
  8. Tables
  9. Foreword
  10. Preface
  11. Acknowledgments
  12. 1. Introduction to Sample Survey Designs
  13. 2. Basic Sampling Designs
  14. 3. Multi-stage Designs
  15. 4. Probability Sampling under Imperfect Frame
  16. 5. Tackling Non-Sampling Errors
  17. 6. Introduction to Evaluation Design
  18. 7. Designs for Causal Effects: Setting Comparison Groups
  19. 8. Designs for Causal Effects: Allocation of Study Units
  20. 9. Statistical Tests for Measuring Impact
  21. 10. Case Studies
  22. References
  23. Index