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Sampling Design and Analysis (ETS-622)
- Instructor Name: Dr. Amena Urooj
- Credit Hours: 03
- PIDE School of Economics (PSE)
- E-mail: [email protected]
Prerequisites For this Course:
None
Text Book(s):
- Sharon, L. Lohr. (1999), Sampling Designs and Analysis, Duxbury Press.
- Jelke Bethlehem (2009). Applied Survey Methods: A Statistical Perspective. John Wiley & Sons.
- Blair,J., Czaja, R.F., Blair, E.A. (2014) Designing Surveys: A guide to decisions and procedures, Sage Publications
- Scheaffer, R. L., Mendenhall, W., Ott, R. L. & Gerow, K. G. (2011). Survey sampling. (7th ed.), Cengage Learning.
Reference Book(s):
- Arijit Chaudhuri (2014) Modern Survey Sampling by Taylor & Francis Group, LLC
- Cochran, W.G. (1997), Sampling Techniques, John Willey and Sons.
- Mukhopadhaya, P. (1998), Theory and Methods of Survey Sampling, Prentice Hall of India.
- Kish, L. (1992). Survey Sampling, John Wiley, New York.
- Raj, D. &Chandhok, P. (1998), Sample Survey Theory, Narosa Publishing House, New Delhi.
- Singh, R. and Singh N, (1996), Elements of Survey Sampling, Kulwar Academic Publisher, Dodrecht.
- Sukhatme, P.V, Sukhatme, B., Sukhatme, S., and Asok, A. (1985), Sampling Theory of Survey with Application. Iowa State University Press.
- RON S. KENETT (2006). On the Planning and Design of Sample Surveys. Journal of Applied Statistics Vol. 33, No. 4, 405–415, May 2006
- Caldwell, Joseph George, “Sample Survey Design for Evaluation,” posted at http://www.foundationwebsite.org/SampleSureyDesignForEvaluation.pdf .
Course Description
The aim of this course is to cover sampling design and analysis methods that would be useful for research and management in many field. A well-designed sampling procedure ensures that we can summarize and analyze data with a minimum of assumptions and complications. This course provides a comprehensive understanding of survey research methods, including how to design surveys, how to analyze distinct types of survey data, and how to critically evaluate survey-based research.
This course is an ideal introduction for those who wish to understand the basic concepts of sample survey to effectively manage sample survey. With the background of this course, the project manager/researcher should be able to sense what type of survey design is appropriate in a given situation and be able to be able to undertake data capture, coding and editing tasks that are required to handle and analyze efficiently the issues involving a sample survey.
Course Objectives
The main objective of this course is that on completion of this course, students should:
- To be introduced with the basic concepts of survey sampling theory including brief introduction to questionnaire design, methods of sample selection, estimation, sampling variance, standard error of estimation in finite population, development of sampling theory for use in sample survey problems and sources of errors in surveys. Practical examples will be used to illustrate the principles and methods.
Learning Outcomes
Upon completion of the subject, students will be able to:
- understand and interpret real-life survey reports from public agencies.
- understand concepts and techniques in sampling methods.
- assess the appropriateness of sampling plans with special reference to survey goals, sampling frames availability, and resource constraints.
- understand solution methodology to estimate population parameters for sampling plans. (e) conduct sample surveys within the context of socially acceptable professional and ethical practices.
Lecture Plan
| Sessio n | Topic | Readings | Activities | Instructor | |
| Module # 1: Basic Concepts | |||||
|
1 |
Introduction |
Classroom lecture, book chapter reading |
|||
| Basic Concepts of Sample Survey, terminologies, and initial ramifications | |||||
|
2 |
ABCs of Probability Sampling: |
Classroom lecture, book chapter reading |
|||
| Types and Framework for Probability | |||||
| Sampling, Sampling weights, | |||||
| Confidence intervals, Sample Size
Estimation, random variable and |
|||||
| expected value | |||||
|
3 |
Single Sampling Designs |
Video lecture from online course
“Sampling People, Networks and Records”, book chapter reading and classroom discussion lecture |
|||
|
4 |
Composite Sampling Designs |
Video lecture from
online course, book chapter reading and classroom discussion lecture |
|||
|
5 |
Sampling I: Concepts of Representation and Sample Quality, Population Definition and Sampling Frames |
Video lecture from online course” Framework for Data Collection and Analysis”, book chapter reading and classroom discussion lecture |
Quiz+ |
||
| Term paper | |||||
|
6 |
Sampling II: Issues with sampling frames, Sample Size and Sample Design |
Video lecture from online course “Framework for Data Collection and Analysis”, book chapter reading and classroom discussion lecture |
Assignment |
||
| Module # 2: MAJOR SAMPLING DESIGNS AND ESTIMATION PROCEDURES | |||||
|
7 |
Simple Probability Samples, Simple
random sampling |
Classroom lecture, book
chapter reading |
|||
|
8 |
Simple random sampling |
Classroom lecture, book
chapter reading |
|||
|
MID TERM EXAM |
||||
|
9 |
Stratified Sampling |
Classroom lecture, book chapter reading |
Assignment + Quiz |
|
|
10 |
Ratio Estimation |
Classroom lecture, book chapter reading |
||
|
11 |
Cluster Sampling |
Classroom lecture, book chapter reading |
Assignment |
|
|
12 |
Unequal Probability Sampling |
Classroom lecture, book chapter reading |
Assignment + Quiz |
|
|
13 |
Two-Phase Sampling |
Classroom lecture, book chapter reading |
||
|
14 |
Rare Populations and Small Area
Estimation, Complex Surveys |
Classroom lecture, book
chapter reading |
||
|
15 |
Nonresponse, Rare Populations and Small Area Estimation |
Classroom lecture, book chapter reading, complete the course “Dealing With Missing Data” |
Assignment |
|
|
16 |
Discussion on sample design of specific surveys: Household surveys, Demographic Surveys, Establishment Surveys, Agricultural surveys |
|||
| FINAL TERM EXAM | ||||
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