Probability sampling design in ethnobotanical surveys of medicinal plants
Autor(a) principal: | |
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Data de Publicação: | 2012 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Revista Brasileira de Farmacognosia (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-695X2012000600023 |
Resumo: | Non-probability sampling design can be used in ethnobotanical surveys of medicinal plants. However, this method does not allow statistical inferences to be made from the data generated. The aim of this paper is to present a probability sampling design that is applicable in ethnobotanical studies of medicinal plants. The sampling design employed in the research titled "Ethnobotanical knowledge of medicinal plants used by traditional communities of Nossa Senhora Aparecida do Chumbo district (NSACD), Poconé, Mato Grosso, Brazil" was used as a case study. Probability sampling methods (simple random and stratified sampling) were used in this study. In order to determine the sample size, the following data were considered: population size (N) of 1179 families; confidence coefficient, 95%; sample error (d), 0.05; and a proportion (p), 0.5. The application of this sampling method resulted in a sample size (n) of at least 290 families in the district. The present study concludes that probability sampling methods necessarily have to be employed in ethnobotanical studies of medicinal plants, particularly where statistical inferences have to be made using data obtained. This can be achieved by applying different existing probability sampling methods, or better still, a combination of such methods. |
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Probability sampling design in ethnobotanical surveys of medicinal plantspopulationsamplingstatistical inferencebotanyNon-probability sampling design can be used in ethnobotanical surveys of medicinal plants. However, this method does not allow statistical inferences to be made from the data generated. The aim of this paper is to present a probability sampling design that is applicable in ethnobotanical studies of medicinal plants. The sampling design employed in the research titled "Ethnobotanical knowledge of medicinal plants used by traditional communities of Nossa Senhora Aparecida do Chumbo district (NSACD), Poconé, Mato Grosso, Brazil" was used as a case study. Probability sampling methods (simple random and stratified sampling) were used in this study. In order to determine the sample size, the following data were considered: population size (N) of 1179 families; confidence coefficient, 95%; sample error (d), 0.05; and a proportion (p), 0.5. The application of this sampling method resulted in a sample size (n) of at least 290 families in the district. The present study concludes that probability sampling methods necessarily have to be employed in ethnobotanical studies of medicinal plants, particularly where statistical inferences have to be made using data obtained. This can be achieved by applying different existing probability sampling methods, or better still, a combination of such methods.Sociedade Brasileira de Farmacognosia2012-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-695X2012000600023Revista Brasileira de Farmacognosia v.22 n.6 2012reponame:Revista Brasileira de Farmacognosia (Online)instname:Sociedade Brasileira de Farmacognosia (SBFgnosia)instacron:SBFGNOSIA10.1590/S0102-695X2012005000091info:eu-repo/semantics/openAccessEspinosa,Mariano MartinezBieski,Isanete G. C.Martins,Domingos Tabajara de Oliveiraeng2012-12-06T00:00:00Zoai:scielo:S0102-695X2012000600023Revistahttp://www.sbfgnosia.org.br/revista/https://old.scielo.br/oai/scielo-oai.phprbgnosia@ltf.ufpb.br1981-528X0102-695Xopendoar:2012-12-06T00:00Revista Brasileira de Farmacognosia (Online) - Sociedade Brasileira de Farmacognosia (SBFgnosia)false |
dc.title.none.fl_str_mv |
Probability sampling design in ethnobotanical surveys of medicinal plants |
title |
Probability sampling design in ethnobotanical surveys of medicinal plants |
spellingShingle |
Probability sampling design in ethnobotanical surveys of medicinal plants Espinosa,Mariano Martinez population sampling statistical inference botany |
title_short |
Probability sampling design in ethnobotanical surveys of medicinal plants |
title_full |
Probability sampling design in ethnobotanical surveys of medicinal plants |
title_fullStr |
Probability sampling design in ethnobotanical surveys of medicinal plants |
title_full_unstemmed |
Probability sampling design in ethnobotanical surveys of medicinal plants |
title_sort |
Probability sampling design in ethnobotanical surveys of medicinal plants |
author |
Espinosa,Mariano Martinez |
author_facet |
Espinosa,Mariano Martinez Bieski,Isanete G. C. Martins,Domingos Tabajara de Oliveira |
author_role |
author |
author2 |
Bieski,Isanete G. C. Martins,Domingos Tabajara de Oliveira |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Espinosa,Mariano Martinez Bieski,Isanete G. C. Martins,Domingos Tabajara de Oliveira |
dc.subject.por.fl_str_mv |
population sampling statistical inference botany |
topic |
population sampling statistical inference botany |
description |
Non-probability sampling design can be used in ethnobotanical surveys of medicinal plants. However, this method does not allow statistical inferences to be made from the data generated. The aim of this paper is to present a probability sampling design that is applicable in ethnobotanical studies of medicinal plants. The sampling design employed in the research titled "Ethnobotanical knowledge of medicinal plants used by traditional communities of Nossa Senhora Aparecida do Chumbo district (NSACD), Poconé, Mato Grosso, Brazil" was used as a case study. Probability sampling methods (simple random and stratified sampling) were used in this study. In order to determine the sample size, the following data were considered: population size (N) of 1179 families; confidence coefficient, 95%; sample error (d), 0.05; and a proportion (p), 0.5. The application of this sampling method resulted in a sample size (n) of at least 290 families in the district. The present study concludes that probability sampling methods necessarily have to be employed in ethnobotanical studies of medicinal plants, particularly where statistical inferences have to be made using data obtained. This can be achieved by applying different existing probability sampling methods, or better still, a combination of such methods. |
publishDate |
2012 |
dc.date.none.fl_str_mv |
2012-12-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-695X2012000600023 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-695X2012000600023 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/S0102-695X2012005000091 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Sociedade Brasileira de Farmacognosia |
publisher.none.fl_str_mv |
Sociedade Brasileira de Farmacognosia |
dc.source.none.fl_str_mv |
Revista Brasileira de Farmacognosia v.22 n.6 2012 reponame:Revista Brasileira de Farmacognosia (Online) instname:Sociedade Brasileira de Farmacognosia (SBFgnosia) instacron:SBFGNOSIA |
instname_str |
Sociedade Brasileira de Farmacognosia (SBFgnosia) |
instacron_str |
SBFGNOSIA |
institution |
SBFGNOSIA |
reponame_str |
Revista Brasileira de Farmacognosia (Online) |
collection |
Revista Brasileira de Farmacognosia (Online) |
repository.name.fl_str_mv |
Revista Brasileira de Farmacognosia (Online) - Sociedade Brasileira de Farmacognosia (SBFgnosia) |
repository.mail.fl_str_mv |
rbgnosia@ltf.ufpb.br |
_version_ |
1752122467838590976 |