Sampling

Objectives

The objectives of this course are to provide participants with fundamental knowledge in sampling design procedure for surveys, particularly in sampling design for household surveys with specific case studies from previous and ongoing large-scale surveys in Vietnam (e.g. Living Standard Survey, National Health Survey, Household Living Survey). The content included in the course aims to help participants gain insight into the following topics:

  • Basic knowledge in sampling design and sampling error, impact of sampling design on surveys’ outcomes.
  • Identify requirements from information user and policy makers on the collected indicator’s reliability, from which specify appropriate sampling size and sampling design methods.
  • Identify methods to improve quality of stratified sample design by using information on sampling errors, impact of sampling design, and survey costs.
  • Understand the significance of standardization of survey documents on sampling errors, serving the sampling design process in future surveys.
  • Understand calculation methods for sampling weight (weight design, modification for unanswered cases and out-of survey scope) for surveys with stratified sample design.
  • Understand design methods of panel data survey and application of this method in the process of measuring progress of studied indicators. This method will help reduce sampling errors and thus decrease the sample size needed to measure indicator changes over time.

Trainees

The course is open to all people who possess basic statistics knowledge and who are working with survey data sets. The course is relevant for graduate students and researchers from universities, research institutes, and ministries.

Textbooks

Survey Sampling: Leslie Kish. Professor of Sociology. Program Director, Survey Research Center, Institute for Social Research, The University of Michigan.

Software

Stata

Course prerequisites

  • Basic statistics
  • Basic mathematics
Content of the course

The course will last for 4 days with the content as follows:

Day 1

  • Sampling – Science or Art?
  • Sampling error and Non-sampling error
  • Basic knowledge about sample

Day 2

  • Sampling

Day 3

  • Multi-stage sampling method
  • Estimation from multi-stage sampling method

Day 4

  • Maximization multi-stage sampling design
  • Sampling design recommendation

STATA

Objectives Trainees will understand basic procedure of quantitative data analysis and will be able to design analysis plans (blank/dummy tables). Trainees will be able to edit and process small and large scale databases using STATA Software. Trainees will be able to analyze descriptive statistics (single and bivariate) and basic linear regression analysis using STATA. Trainees […]
Impact Evaluation

Impact Evaluation

Objectives The course objectives are to provide trainees with fundamental knowledge on impact evaluation of projects, programs, and policies related to the development field. There will be specific examples from cases of program/project impact evaluations in Vietnam, such as Impact of Progarm 135 – Phase II, Impact of Microfinance program, and Impact of Water and […]

Econometrics

Objectives This course has the main following objectives: Provide trainees with knowledge of econometrics – the statistical methods applied in economics to test socio-economic hypotheses and forecast social-economic variables. Provide trainees data analysis and software skills to conduct regressions and tests. The course will focus mainly on the practical applications of econometrics. Trainees The course […]
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