Statistical Survey Design and Evaluating Impact

This book discusses important methodologies for developing statistical designs, sample surveys and evaluation designs.

Tarun Kumar Roy (Author), Rajib Acharya (Author), Arun Roy (Author)

9781107146457, Cambridge University Press

Hardback, published 9 May 2016

214 pages
25.1 x 18.9 x 2 cm, 0.66 kg

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.

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.

Subject Areas: Probability & statistics [PBT], Economic statistics [KCHS], Social research & statistics [JHBC]