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 Plan

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Session 1.2:

Minimum Set of Core Data Items: Output, Resources and Input Variables

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Module 2 – Review of Basics of Sampling Methods: Probability Sampling, Sample Selection and Sample Design and Estimation
Session 2.1:

Terminology, Concepts and Definitions

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Session 2.2:

Systematic Sampling

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Session 2.3:

Objectives and Use of Stratification in Sample Design

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Session 2.4:

Objectives and Use of Clustering in Sample Designs; Sampling with Probability Proportional to Size and One-stage cluster sampling

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Session 2.5:

Objectives of Multistage Sampling and Illustrative Designs

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Session 2.6:

Sampling Errors and Design Effects: Estimating and Interpreting

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Session 2.8:

Sampling Frames: Types, Sources & Uses

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Module 3 – Sampling Methods for Crop Cutting Surveys
Session 3.1:

Crop-cutting Surveys: Basic concepts, variables

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Session 3.2:

Sampling Designs for Crop-cutting Surveys

  
Session 3.3:

Estimation Methods for Output, Resource and Input Indicators from Crop-cutting Surveys

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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 variables   pdf
Session 3.5:

Field Operations for Crop-Cutting Surveys: Focus on ensuring proper implementation of sample design and selection and minimizing non-sampling errors

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Module 4 – Sampling Methods for Horticulture Surveys
Session 4.1:

Horticulture Surveys: Basic concepts, variables

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

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Session 5.2:

Sampling Designs for Livestock Surveys

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Session 5.3:

Estimation Methods for Output, Resource and Input Indicators from Livestock Surveys

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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 variables

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Session 5.5:

Field Operations for Livestock: Focus on ensuring proper implementation of sample design and selection and minimizing non-sampling errors

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Module 6 : Sampling methods for the fisheries and aquaculture surveys
Session 6.1:

IntroductionSection

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Session 6.1:

Basic concepts, variables, and survey objectives

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Session 6.2.1:

Sampling design – capture fishery/ fishing landing survey

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Session 6.2.2:

Sampling design – Aquaculture

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Session 6.3:

Estimation methods – input, stock, resource, output

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Session 6.4:

Data collection tools

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Session 6.5:

Field operation -- proper implementation of sampling design; -- non-sampling errors

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Country report