A general guide to data preparation for computer analysis of farm survey data
If a computer and an appropriate program for survey data analysis are available, the researcher has to decide whether or not these computer facilities should be used to analyse the survey data or whether an analysis by hand is sufficient. In almost all cases a preliminary analysis by hand is very useful to get a "feel" for the data. In our experience a complete manual analysis will be more efficient if the number of farmers in the sample is less than 5O. If the sample size is about 50-100 farmers, a computer analysis may be helpful when the study area is rather complex and farmers' practices and circumstances need to be analised through a relatively large number of cross tabulations. Surveys with more than 100 farmers can nearly always be analysed more efficiently by a computer if appropriate computational facilities are available. This note provides a short overview on presently used computers ("hardware") and computer programs ("softwere") assuming that the researcher has no previous experience with computers. It also presents the steps involved in preparing the data for computer analysis.
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Format: | Handbook biblioteca |
Language: | English |
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CIMMYT
1982
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Subjects: | AGRICULTURAL SCIENCES AND BIOTECHNOLOGY, FARM SURVEYS, DATA COLLECTION, ECONOMIC ANALYSIS, COMPUTER APPLICATIONS, |
Online Access: | http://hdl.handle.net/10883/3823 |
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dig-cimmyt-10883-38232021-03-31T14:21:14Z A general guide to data preparation for computer analysis of farm survey data Hesse de Polanco, E. AGRICULTURAL SCIENCES AND BIOTECHNOLOGY FARM SURVEYS DATA COLLECTION ECONOMIC ANALYSIS COMPUTER APPLICATIONS If a computer and an appropriate program for survey data analysis are available, the researcher has to decide whether or not these computer facilities should be used to analyse the survey data or whether an analysis by hand is sufficient. In almost all cases a preliminary analysis by hand is very useful to get a "feel" for the data. In our experience a complete manual analysis will be more efficient if the number of farmers in the sample is less than 5O. If the sample size is about 50-100 farmers, a computer analysis may be helpful when the study area is rather complex and farmers' practices and circumstances need to be analised through a relatively large number of cross tabulations. Surveys with more than 100 farmers can nearly always be analysed more efficiently by a computer if appropriate computational facilities are available. This note provides a short overview on presently used computers ("hardware") and computer programs ("softwere") assuming that the researcher has no previous experience with computers. It also presents the steps involved in preparing the data for computer analysis. 15 pages 2014-03-13T01:05:19Z 2014-03-13T01:05:19Z 1982 Handbook http://hdl.handle.net/10883/3823 English CIMMYT Economics Training Note CIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose. Open Access PDF Mexico CIMMYT |
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AGRICULTURAL SCIENCES AND BIOTECHNOLOGY FARM SURVEYS DATA COLLECTION ECONOMIC ANALYSIS COMPUTER APPLICATIONS AGRICULTURAL SCIENCES AND BIOTECHNOLOGY FARM SURVEYS DATA COLLECTION ECONOMIC ANALYSIS COMPUTER APPLICATIONS |
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AGRICULTURAL SCIENCES AND BIOTECHNOLOGY FARM SURVEYS DATA COLLECTION ECONOMIC ANALYSIS COMPUTER APPLICATIONS AGRICULTURAL SCIENCES AND BIOTECHNOLOGY FARM SURVEYS DATA COLLECTION ECONOMIC ANALYSIS COMPUTER APPLICATIONS Hesse de Polanco, E. A general guide to data preparation for computer analysis of farm survey data |
description |
If a computer and an appropriate program for survey data analysis are available, the researcher has to decide whether or not these computer facilities should be used to analyse the survey data or whether an analysis by hand is sufficient. In almost all cases a preliminary analysis by hand is very useful to get a "feel" for the data. In our experience a complete manual analysis will be more efficient if the number of farmers in the sample is less than 5O. If the sample size is about 50-100 farmers, a computer analysis may be helpful when the study area is rather complex and farmers' practices and circumstances need to be analised through a relatively large number of cross tabulations. Surveys with more than 100 farmers can nearly always be analysed more efficiently by a computer if appropriate computational facilities are available. This note provides a short overview on presently used computers ("hardware") and computer programs ("softwere") assuming that the researcher has no previous experience with computers. It also presents the steps involved in preparing the data for computer analysis. |
format |
Handbook |
topic_facet |
AGRICULTURAL SCIENCES AND BIOTECHNOLOGY FARM SURVEYS DATA COLLECTION ECONOMIC ANALYSIS COMPUTER APPLICATIONS |
author |
Hesse de Polanco, E. |
author_facet |
Hesse de Polanco, E. |
author_sort |
Hesse de Polanco, E. |
title |
A general guide to data preparation for computer analysis of farm survey data |
title_short |
A general guide to data preparation for computer analysis of farm survey data |
title_full |
A general guide to data preparation for computer analysis of farm survey data |
title_fullStr |
A general guide to data preparation for computer analysis of farm survey data |
title_full_unstemmed |
A general guide to data preparation for computer analysis of farm survey data |
title_sort |
general guide to data preparation for computer analysis of farm survey data |
publisher |
CIMMYT |
publishDate |
1982 |
url |
http://hdl.handle.net/10883/3823 |
work_keys_str_mv |
AT hessedepolancoe ageneralguidetodatapreparationforcomputeranalysisoffarmsurveydata AT hessedepolancoe generalguidetodatapreparationforcomputeranalysisoffarmsurveydata |
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1756086495351930880 |