Data analysis in forest sciences: why do we continue using null hypothesis significance tests?

Data analysis in forest sciences: why do we continue using null hypothesis significance tests?

Statistical methods are indispensable for scientific research. In forest sciences, the use of null hypothesis significance tests (NHSTs) has been the rule of thumb to judge hypotheses or associations among variables, in spite of the multiple problems of these techniques and the several criticisms pu...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Estay,Sergio A, Naulin,Paulette I
Lenguaje:English
Publicado: Universidad Austral de Chile, Facultad de Ciencias Forestales 2011
Materias:
NHST
p-values
statistical significance
information criteria
ANOVA
Acceso en línea:http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-92002011000100001
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:scielo:S0717-92002011000100001
record_format dspace
spelling oai:scielo:S0717-920020110001000012011-05-17Data analysis in forest sciences: why do we continue using null hypothesis significance tests?Estay,Sergio ANaulin,Paulette I NHST p-values statistical significance information criteria ANOVA Statistical methods are indispensable for scientific research. In forest sciences, the use of null hypothesis significance tests (NHSTs) has been the rule of thumb to judge hypotheses or associations among variables, in spite of the multiple problems of these techniques and the several criticisms published for many years in other scientific areas. In this review, the origin of current techniques, their most important problems, and some alternatives that are known to most forest researchers are shown. Persistence in using NHSTs, instead of better statistical methods or without adequate complements, could render our work inefficient and risky. Reasons for the permanence of NHSTs in forest sciences are discussed.info:eu-repo/semantics/openAccessUniversidad Austral de Chile, Facultad de Ciencias ForestalesBosque (Valdivia) v.32 n.1 20112011-01-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-92002011000100001en10.4067/S0717-92002011000100001
institution Scielo Chile
collection Scielo Chile
language English
topic NHST
p-values
statistical significance
information criteria
ANOVA
spellingShingle NHST
p-values
statistical significance
information criteria
ANOVA
Estay,Sergio A
Naulin,Paulette I
Data analysis in forest sciences: why do we continue using null hypothesis significance tests?
description Statistical methods are indispensable for scientific research. In forest sciences, the use of null hypothesis significance tests (NHSTs) has been the rule of thumb to judge hypotheses or associations among variables, in spite of the multiple problems of these techniques and the several criticisms published for many years in other scientific areas. In this review, the origin of current techniques, their most important problems, and some alternatives that are known to most forest researchers are shown. Persistence in using NHSTs, instead of better statistical methods or without adequate complements, could render our work inefficient and risky. Reasons for the permanence of NHSTs in forest sciences are discussed.
author Estay,Sergio A
Naulin,Paulette I
author_facet Estay,Sergio A
Naulin,Paulette I
author_sort Estay,Sergio A
title Data analysis in forest sciences: why do we continue using null hypothesis significance tests?
title_short Data analysis in forest sciences: why do we continue using null hypothesis significance tests?
title_full Data analysis in forest sciences: why do we continue using null hypothesis significance tests?
title_fullStr Data analysis in forest sciences: why do we continue using null hypothesis significance tests?
title_full_unstemmed Data analysis in forest sciences: why do we continue using null hypothesis significance tests?
title_sort data analysis in forest sciences: why do we continue using null hypothesis significance tests?
publisher Universidad Austral de Chile, Facultad de Ciencias Forestales
publishDate 2011
url http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-92002011000100001
work_keys_str_mv AT estaysergioa dataanalysisinforestscienceswhydowecontinueusingnullhypothesissignificancetests
AT naulinpaulettei dataanalysisinforestscienceswhydowecontinueusingnullhypothesissignificancetests
_version_ 1718444173319733248

Ejemplares similares