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Statistical Guides: Good Practice Case Studies

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Dated: August 2019

Author: Statistical Services Centre

A collection of case studies giving examples of good statistical practice in various aspects of research and experiment design.The topics covered are:Good practice in well-linked studies using several methodologiesGood Practice in Survey Design and AnalysisGood practice in on-farm studiesGood practice in researcher and farmer experimentationDetermining the effectiveness of a proposed sample sizesGood practice in the preparation of research protocolsDeveloping a sampling strategy for a nation-wide survey in MalawiPart of a series of statistical guides by The University of Reading Statistical Services Centre, which were originally written as part of a contract with DFID to give guidance to research and support staff working on DFID Natural Resources projects. They provide guidelines for staff involved in the development and presentation of research projects. The guidelines are intended to help researchers to identify their biometric or statistical needs.

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GPCS1 - Well-linked studies using several methodologies.pdf

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GPCS2 - Survey Design and Analysis.pdf

25 KB

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GPCS3 - On-farm Studies.pdf

24 KB

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GPCS4 - Researcher and Farmer Experimentation.pdf

29 KB

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GPCS5 - Effectiveness of Proposed Sample Sizes.pdf

30 KB

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GPCS6 - Data Management.pdf

183 KB

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GPCS7 - Preparation of Research Protocols.pdf

180 KB

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GPCS8 - Developing a Sampling Strategy for a Nation-wide Survey in Malawi.pdf

37 KB

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