Second Regional Training Course on Sampling Methods for Producing Core Data Items for Agricultural and Rural Statistics

9 – 20 November 2015, Jakarta, Indonesia

Course Materials

Module 1– Sampling in the Context of the Global Minimum Set of Core Data Items

Session 1.1:Overview of the Global Strategy for Agriculture and Rural Statistics and the Asia-Pacific Regional Action Planpdf
Session 1.2:Minimum Set of Core Data Items: Output, Resources and Input Variablespdf

Module 2 – Review of Basics of Sampling Methods: Probability Sampling, Sample Selection and Sample Design and Estimation

Session 2.1:Terminology, Concepts and Definitionspdf
Session 2.2:Systematic Samplingpdf
Session 2.3:Objectives and Use of Stratification in Sample Designpdf
Session 2.4:Objectives and Use of Clustering in Sample Designs; Sampling with Probability Proportional to Size and One-stage cluster samplingpdf
Session 2.5:Objectives of Multistage Sampling and Illustrative Designspdf
Session 2.6:Sampling Errors and Design Effects: Estimating and Interpretingpdf
Session 2.8:Sampling Frames: Types, Sources & Usespdf

Module 3 – Sampling Methods for Crop Cutting Surveys

Session 3.1:Crop-cutting Surveys: Basic concepts, variablespdf
Session 3.2:Sampling Designs for Crop-cutting Surveys
Session 3.3:Estimation Methods for Output, Resource and Input Indicators from Crop-cutting Surveyspdf
Session 3.4:Data Collection Tools for Crop-cutting Surveys: Considerations in designing tools to facilitate sampling requirements [Updating sampling frames, facilitating sample selection, providing estimation variablespdf
Session 3.5:Field Operations for Crop-Cutting Surveys: Focus on ensuring proper implementation of sample design and selection and minimizing non-sampling errorspdf

Module 4 – Sampling Methods for Horticulture Surveys

Session 4.1:Horticulture Surveys: Basic concepts, variablespdf
Session 4.2:Sampling Designs for Horticulture Surveyspdf
Session 4.3:Estimation Methods for Output, Resource and Input Indicators from Horticulture Surveyspdf
Session 4.4:Data Collection Tools for Horticulture Surveys: Considerations in designing tools to facilitate sampling requirementspdf
Session 4.5:Field Operations for Horticulture Surveys: Focus on ensuring proper implementation of sample design and selection and minimizing non-sampling errorspdf

Module 5– Sampling Methods for Livestock Surveys

Session 5.1:Livestock Surveys: Basic concepts, variables (output, resource and input), survey objectives and statistical units for survey collection of core data and estimation of basic indicatorspdf
Session 5.2:Sampling Designs for Livestock Surveyspdf
Session 5.3:Estimation Methods for Output, Resource and Input Indicators from Livestock Surveyspdf
Session 5.4:Data Collection Tools for Livestock Surveys: Considerations in designing tools to facilitate sampling requirements [Updating sampling frames, facilitating sample selection, providing estimation variablespdf
Session 5.5:Field Operations for Livestock: Focus on ensuring proper implementation of sample design and selection and minimizing non-sampling errorspdf

Module 6 : Sampling methods for the fisheries and aquaculture surveys

Session 6.1:IntroductionSectionpdf
Session 6.1:Basic concepts, variables, and survey objectivespdf
Session 6.2.1:Sampling design – capture fishery/ fishing landing surveypdf
Session 6.2.2:Sampling design – Aquaculturepdf
Session 6.3:Estimation methods – input, stock, resource, outputpdf
Session 6.4:Data collection toolspdf
Session 6.5:Field operation -- proper implementation of sampling design; -- non-sampling errorspdf

Country report

Link