|
[article] | Title : |
Data Analysis Methods Adopted under In situ Global Project in Nepal |
| Material Type: |
printed text |
| Authors: |
Joshi, Bal K., Author ; ,Upadhyay, Madhusudan, Author ; Bimb, Hari P., Author ; Gauchan, D., Author ; Baniya, B.K., Author |
| Publication Date: |
2005 |
| Article on page: |
98-110 p |
| Languages : |
English (eng) |
| Keywords: |
Data analysis methods, on farm research, station subject areas |
| Abstract: |
Synthesizing data analysis methods adopted under in situ global project in Nepal along with
variables and nature of study could be guiding reference for researchers especially to those
involved in on farm research. The review work was conducted with the objective to help in utilizing
and managing in situ database system. The objectives of the experiment, the structure of the
treatments and the experimental design used primarily determine the type of analysis. There were 60
papers of this project published in Nepal. All these papers are grouped under 8 thematic groups
namely 1. Agroecosystem (3 papers), 2. Agromorphological and farmers’ perception (7 papers), 3.
Crop population structure (5 papers), 4. Gender, policy and general (15 papers), 5. Isozyme and
molecular (6 papers), 6. Seed systems and farmers’ networks (5 papers), 7. Social, cultural and
economical (11 papers) and 8. Value addition (8 papers). All these papers were reviewed basically
for data type, sample size, sampling methods, statistical methods and tools, varieties and
purposes. Descriptive and inferential statistics along with multivariate methods were commonly used
in on farm research. Experimental design, the most common in on station trial was least used. Study
over space and time was not adopted. There were 5 kinds of data generated, 45 statistical tools
adopted in eight different crop species. Among the 5 kinds of data under these eight subject areas,
categorical type was highest followed by discrete numerical. Binary type was least in frequency.
Most of the papers were related to rice followed by taro and finger millet. Cucumber and pigeon pea
were studied least. Descriptive statistics along with 2, multivariate analysis and regression
approaches would be appropriate tools. Similarly SPSS and MINITAB may be good software. The best
one among a number of statistical tools should be selected and utmost care must be exercised while
collecting data.
|
| Link for e-copy: |
http://elibrary.narc.gov.np/?r=68 |
in Nepal Agriculture Research Journal > Vol. 6 (2005) . - 98-110 p
[article] Data Analysis Methods Adopted under In situ Global Project in Nepal [printed text] / Joshi, Bal K., Author ; ,Upadhyay, Madhusudan, Author ; Bimb, Hari P., Author ; Gauchan, D., Author ; Baniya, B.K., Author . - 2005 . - 98-110 p. Languages : English ( eng) in Nepal Agriculture Research Journal > Vol. 6 (2005) . - 98-110 p | Keywords: |
Data analysis methods, on farm research, station subject areas |
| Abstract: |
Synthesizing data analysis methods adopted under in situ global project in Nepal along with
variables and nature of study could be guiding reference for researchers especially to those
involved in on farm research. The review work was conducted with the objective to help in utilizing
and managing in situ database system. The objectives of the experiment, the structure of the
treatments and the experimental design used primarily determine the type of analysis. There were 60
papers of this project published in Nepal. All these papers are grouped under 8 thematic groups
namely 1. Agroecosystem (3 papers), 2. Agromorphological and farmers’ perception (7 papers), 3.
Crop population structure (5 papers), 4. Gender, policy and general (15 papers), 5. Isozyme and
molecular (6 papers), 6. Seed systems and farmers’ networks (5 papers), 7. Social, cultural and
economical (11 papers) and 8. Value addition (8 papers). All these papers were reviewed basically
for data type, sample size, sampling methods, statistical methods and tools, varieties and
purposes. Descriptive and inferential statistics along with multivariate methods were commonly used
in on farm research. Experimental design, the most common in on station trial was least used. Study
over space and time was not adopted. There were 5 kinds of data generated, 45 statistical tools
adopted in eight different crop species. Among the 5 kinds of data under these eight subject areas,
categorical type was highest followed by discrete numerical. Binary type was least in frequency.
Most of the papers were related to rice followed by taro and finger millet. Cucumber and pigeon pea
were studied least. Descriptive statistics along with 2, multivariate analysis and regression
approaches would be appropriate tools. Similarly SPSS and MINITAB may be good software. The best
one among a number of statistical tools should be selected and utmost care must be exercised while
collecting data.
|
| Link for e-copy: |
http://elibrary.narc.gov.np/?r=68 |
|
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