Global Strategy to Improve Agricultural and Rural Statistics

Empowering Statistical Surveys: Intensive Workshops on Quality Assurance and Data Sampling Conclude in Madagascar and Comoros

16/10/2023

 The Global Strategy to Improve Agricultural and Rural Statistics (GSARSII) continues its pursuit to address the statistical needs of developing countries, aiming to elevate the quality and availability of agricultural and rural data. To achieve that goal, a series of comprehensive training workshops have been successfully executed in Madagascar and Comoros, steered by the expertise of trainer TIOTSOP Blaise. The participants, who come from diverse professional backgrounds, were enriched with a deep understanding of qualitative data processing, specifically harnessing the capabilities of statistical softwares. 

These training workshops in Madagascar and Comoros were designed to enhance participants' understanding of the best practices in quality assurance for statistical surveys. The training delved into pivotal areas like data editing, imputation, and the adoption of advanced models and methods to uplift data quality. The latter part of the sessions focused on the complexities of statistical surveys, shedding light on important concepts like sampling plans, the generation of primary statistics, and the effective use of statistical software for data estimations and summarization. 

Alongside this core content, the workshops introduced innovative components. Participants were guided through a tutorial on sampling plans, shedding light on essential concepts like samples, estimators, and the role of probabilities. Furthermore, a detailed table elaborating on the application of clusters and strates in sampling plans was provided, with accompanying corrections offered.  

The training methodology was designed to balance both theoretical knowledge and practical application, ensuring participants could immediately implement their newfound skills. In Madagascar, many participants, though new to the statistical softwares, quickly adapted to its functionalities. Similarly, in Comoros, even those with an advanced statistical background found the hands-on training invaluable in enhancing their practical understanding of the software. 

Participants' feedback reflected a deep appreciation for the rich content of the training modules. They valued the dedicated time allocated for processing data from their local surveys and lauded the comprehensive nature of the training material, the effective pedagogical strategies, and the expertise of the facilitator. 

Undoubtedly, the workshops have cast a spotlight on the significance of refining statistical capacities in the agricultural sector. With the tools and insights provided by the FAO and the Global Strategy, stakeholders are now better equipped to drive data-informed decisions, ensuring more robust and efficient agricultural policies. 

To conclude, the success of these workshops was made possible due to the commitment and support of the FAO country offices in Madagascar and Comoros. Their pivotal role in the program's execution, combined with the generous support of our donors, the European Union, and the Bill & Melinda Gates Foundation, promises a brighter future for agricultural and rural statistics.