Weighting is one of the major components in survey sampling. For a given sample survey, to each unit of the selected sample is attached a weight that is used to obtain estimates of population parameters of interest (e.g. means, totals, rates). The weighting process usually involves three steps: (i) obtain the design weights, which account for sample selection; (ii) adjust these weights to compensate for nonresponse; (iii) adjust the weights so that the estimates coincide to some population figures known from external trusted sources. The principle behind estimation in a probability survey is that each sample unit represents not only itself, but also several units of the survey population. The design weight of a unit usually refers to the average number of units in the population that each sampled unit represents. This weight is determined by the sampling method and is an important part of the estimation process. While the design weights can be used for estimation, most surveys produce a set of estimation weights by adjusting the design weights to improve accuracy of the final estimates. Once the final estimation weights have been calculated, they are applied to the sample data in order to compute estimates. The ILO Department of Statistics, in collaboration with the ITCILO, is proud to offer the Online course "Weighting Methods & Strategies". This course is directly linked to the course "Sampling Design: A Practical Approach" planned to take place in the spring of 2023 as both courses complement each other. Both courses are considered a learning journey that qualifies the learner to understand comprehensively Sampling design & weighting. Hence, attending both courses is strongly recommended for a fulfilling learning journey.
Important Note: This course requires basic knowledge of statistics and probability! - It requires basic capacity to run procedures on statistical software using syntax (e.g. Stata do files, Spss syntax files, R scripts, Sas program files, etc.), and in particular with R3. The target audience includes: - Statisticians and practitioners from national statistical offices that have a role in designing household surveys samples.
The main objective of the course is to “enhance understanding and capacities of ILO constituents and social partners to design household surveys and to process sample data in line with best methodological practices.” The course will enhance the knowledge of participants on the different weighting techniques highlighting their pros and cons through practical cases studies.
More specifically, the course aims to:
Using a blended methodology of interactive PowerPoint presentation and case- studies, this course provides practical skills and tips to help participants understand how to calculate weights and precision of estimates. The course content includes the following:
The course is constructed as follows:
Lectures by experts
Interactive exercises & case studies
The course will emphasize a unique learning approach:
Harnessing digital learning technology
Training methodology will combine
The course will take place from 23 October – 15 December 2023.
The course will be conducted in English.
The course is fee-paying. The total cost is €1,500.
Payments need to be received latest 14 days before the beginning of the course. Payment modalities will be communicated in the letter of acceptance. In the event of a cancellation, a participant may be substituted with another candidate. Cancellations remain free of charge if communicated latest 14 days prior to the start of the course.
For cancellations after this date, a penalty will be applied. For further information regarding payment, cancellation and refunds, please consult: Applications, payments, and cancellation
For information regarding payment, cancellation and refunds, please refer to the website: Applications, payments, and cancellation
To register, kindly fill in and submit the online registration form available through this link: https://oarf2.itcilo.org/DST/A9716615/en
The selection of applicants will be based on the submission of:
Kindly note that we need to receive the above-mentioned documents in order to register you for the course!
We strongly recommend applying early since admission is competitive and space is limited!
The deadline for applications is 9 October 2023.