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Bubblegum By Krystle Fleming
Stratified random sampling is a probabilistic sampling option. The first step in stratified random sampling is to split the population into strata, i.e. sections or segments. The strata are chosen to divide a population into important categories relevant to the research interest.
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Geneva Crowd photo by Andy Carvin
A simple random sample (SRS) is the most basic probabilistic option used for creating a sample from a population. Each SRS is made of individuals drawn from a larger population (represented by the variable N), completely at random. As a result, said individuals have an equal chance of being selected throughout the sampling process. The benefit of SRS is that as a result, the investigator is guaranteed to choose a sample which is representative of the population, which ensures statistically valid conclusions.
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People on village meeting by public domain images
Public consultations are usually conducted through public meetings to provide an opportunity for the community to raise issues of concern and respond to options.      
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Archery in Bhutan photo by brentolson on Flickr
Evaluations can use the program's stated objectives and goals to assess program success or failure. Program objectives and goals are generally determined at the beginning of the design process. Occassionally this has not been done, or the program goals have changed along the way. If this is the case, it can be useful to generate a project logic model - either collaboratively or through key inputs and then tested with team members.
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Anna Varney interviews a fisherman in barangay Granada, Boljoon, Cebu by Jill Harris
Interviewing is a fundamental methodology for both quantitative and qualitative social research and evaluation. Interviews are conversations between an investigator (interviewer) and a respondent (‘interviewees’, ‘informants’ or ‘sources’) in which questions are asked in order to obtain information. Interviews seek to collect data and narrative information in order to better understand the respondent’s unique perspectives, opinions, and world-views.
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The Learning Alliances approach was used by the International Center for Tropical Agriculture (CIAT), an international research institute based in Cali, Colombia, as a way for generating knowledge and fostering innovation processes. The authors indicated that it can be used to "strengthen capacities, generate and document development outcomes, identify future research needs or areas for collaboration, and inform public and private sector policy decisions" (Lundy, Gottret and Ashby, 2005).

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