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Sampling Design and Analysis (ETS-622)

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