2013
DOI: 10.1007/978-1-4614-8636-7_13
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Sampling in Ethnobotanical Studies of Medicinal Plants

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Cited by 8 publications
(5 citation statements)
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“…The study was conducted between March 2020 and March 2021. The participants were chosen using a combination of purposive and convenient sampling methods [ 39 , 40 ]. We asked people in the village’s streets if they would agree to be interviewed; the basic criteria for an informant to be selected was that he/she was a breadwinner and usually used wild plants for food or beverage.…”
Section: Methodsmentioning
confidence: 99%
“…The study was conducted between March 2020 and March 2021. The participants were chosen using a combination of purposive and convenient sampling methods [ 39 , 40 ]. We asked people in the village’s streets if they would agree to be interviewed; the basic criteria for an informant to be selected was that he/she was a breadwinner and usually used wild plants for food or beverage.…”
Section: Methodsmentioning
confidence: 99%
“…Ethnobotanical data on food plants and medicinal plants for maternal health care were collected by conducting semi-structured interviews using a questionnaire. Snowball sampling method was used to select the informants (Espinosa et al 2014). The informants were interviewed individually.…”
Section: Data Collection and Field Surveymentioning
confidence: 99%
“…Therefore, in order to determine the approximate size of the sample (n), an expression taking the coefficient of reliability to be 95% and the sampling error to be 7.00% (d = 0.07) was used. 9 , 10 , 11 This indicated that the distance between the sample estimate and the population parameter should not exceed this value, with a proportion of 0.5 (P = 0.5). This value was used because of what was not known about the prevalence of the outcome, and also because this value provided greater variance and made it possible to obtain a sample of larger size with a given fixed precision.…”
Section: Methodsmentioning
confidence: 93%
“…[9][10][11] This indicated that the distance between the sample estimate and the population parameter should not exceed this value, with a proportion of 0.5 (P = 0.5). This value was used because of what was not known about the prevalence of the outcome, and also because this value provided greater variance and made it possible to obtain a sample of larger size with a given fixed precision.…”
Section: Methodsmentioning
confidence: 99%