Standard practice in agricultural research and development is for outside agents to define relevant variables to be researched or discussed or in community fora. This might be called “prspective” inquiry, due to the fact that parameters are pre-determined without consultation from other social actors. An alternative form of inquiry is gaining momentum which can trasform agricultural R & Dby making research questions and methods, as well as group learning, responsive to multiple realities.
Tag: data analysis
Adding nuances: constructivist inquiry in agricultural R&D
Standard practice in agricultural research and development is for outside agents to define relevant variables to be researched or discussed or in community fora. This might be called “prspective” inquiry, due to the fact that parameters are pre-determined without consultation from other social actors. An alternative form of inquiry is gaining momentum which can trasform agricultural R & Dby making research questions and methods, as well as group learning, responsive to multiple realities.
Standards for Collecting Sex-Disaggregated Data for Gender Analysis; a Guide for CGIAR Researchers
In order to monitorprogress of CGIAR on its agreed outcome of “Increased control over resources and participation in decision-making by women and other marginalized groups” as well as other development outcomes such asimprovements in income, productivity, nutrition, and resilience, CGIAR researchers are increasingly asked to collect sex-disaggregated data and conduct gender analyses. This document spells out some simple and achievable steps for collectingrelevant sex-disaggregated data for five broad research areas.
Adding nuances: constructivist inquiry in agricultural R&D
Standard practice in agricultural research and development is for outside agents to define relevant variables to be researched or discussed or in community fora. This might be called “prspective” inquiry, due to the fact that parameters are pre-determined without consultation from other social actors. An alternative form of inquiry is gaining momentum which can trasform agricultural R & Dby making research questions and methods, as well as group learning, responsive to multiple realities.
Analysis – aims and approaches
This book provides a practical approach to applying statistics to a wide variety of studies or projects. It will help bring together the biophysical and socioeconomic aspects, that are increasingly seen as integral to successful natural resources management. The topics covered include types of study in NRM, planning, data management and analysis.
Analysis of experimental data
A classical experiment on the tasting of tea is used to show that many standard methods of analysis of the resulting data are unsatisfactory. A similar experiment with wine is used to show how a more sensible method may be developed
Analyzing ranking and rating data from participatory on-farm trials
Responses in participatory on-farm trials are often measured as ratings (scores on an ordered but arbitrary scale) or rankings (respondents are simply asked to order treatments). Usual analysis of variance and linear model based analyses are not appropriate for these data. Alternative analyses based on generalized linear models are described in this paper. These methods can be successfully used when trial designs are irregular—a common characteristic of participatory trials—and when covariates are measured on each plot or farm in order to identify genotype x environment interaction.
Analyzing data from participatory on-farm trials: research and participation
P1111111111Analyzing Data from ParticipatoryOn-Farm TrialsResearch and Participation articipation and the systematic collection, analysis, and interpretation of dataare not contradictory activities. Among some practitioners there is a belief thatadoption of a participatory paradigm removes the need, or even makes itimpossible, for researchers to collect and analyze data. The purpose ofparticipation is seen as empowerment of local people, which is inconsistent withresearchers conducting activities that meet their own objectives. However, manyresearchers recognize that broad conclusions of relevance beyond the immediateparticipants are still necessary, and that a part of this research must be thecollection and interpretation of data.A participatory approach, however, hasimplications for the collection, analysisand presentation of data. Data from on-farm trials take many forms, from cropyields measured on individual plots tothe reported consensus of participants ata group meeting. Data collection is doneusing qualitative and quantitativemethods and by different individual andgroups of people.Data analysis can alsobe for, and to some extent by, differentparticipants, each of whom have theirown interests and objectives
Unravelling rural migration networks Land-tenure arrangements among Bugis migrant communities in Southeast Sulawesi
Spontaneous rural-to-rural migration has many impacts on every dimension of human life. Migrationdriven by the hunger for land has been stimulated by the development of high economic value crops.The study of migration networks will contribute to a better portrait of continuing migration and therelated actors: their influence on the decision to migrate and their role in facilitating the migration.This study focussed on Bugis migrant communities— famous as great wanderers—in SoutheastSulawesi Province, Indonesia. In the province, smallholders’ cocoa plantations are dominated byBugis migrants, contributing two-thirds of the total 137 833 tonnes of cocoa production in 2010.Research was conducted at the migrants’ destination (Konawae District) and origin (Sinjai District).The study showed that the main motivation for Bugis to migrate was to obtain land. The three mainwaves of migration to Southeast Sulawesi are characterized by development of a major commodity ineach time period: 1) the ‘green revolution’ with paddy-rice development in the 1970s–80s; 2) thecocoa boom in early (1980s–2000s) and late phases (2000s until present). Four migration networkpatterns were deliberately or unintentionally developed by the Bugis migrant community: 1) kinshipnetwork; 2) patron–client relationship; 3) migration owing to work displacement; and 4) the pioneermigration: early migrants who have lived in Southeast Sulawesi for a long time. In each wave, thecentral actor in the migration is the land broker, linking different villages and families.
Tree diversity analysis: a manual and software for common statistical methods for ecological and biodiversity studies
The software accompanying the Tree Diversity Analysis manual was developed for the R 2.1.1 environment. Since the publication of the manual at the end of 2005, new versions of the base R and its accompanying packages have become available. These changes made it necessary to modify the Biodiversity R software. At the same time that these changes were implemented, the opportunity was taken to develop Biodiversity R into a package that can be installed and is documented in the same way as other R packages. Some new functions were integrated in the new version of the package. Functions that were not directly associated with the graphical user interface (GUI) provided by Biodiversity Rwere documented separately