Mots-clés
Analyse de variance ; Analyse spatiale ; Autocorrélation spatiale ; Distribution spatiale ; Echantillonnage ; Géographie appliquée ; Géographie quantitative ; Taille de l'échantillonnageAnalysis of variance ; Applied geography ; Quantitative geography ; Sampling ; Spatial analysis ; Spatial autocorrelation ; Spatial distributionAnálisis de varianza ; Análisis espacial ; Autocorrelación espacial ; Distribución espacial ; Geografía aplicada ; Geografía cuantitativa ; Selección dela muestraEstablishing qualitative geographic sample size in the presence of spatial autocorrelation
Auteur(s) et Affiliation(s)
GRIFFITH, D.A.
School of Economic, Political and Policy Sciences, Univ. of Texas, Dallas, Etats-Unis
Description :
This article analyses the qualitative sample size determination for many purposeful sampling designs. It demonstrates that spatial autocorrelation can have a noticeable effect on sampling, whether it is quantitative or qualitative in nature. The results show firstly, that many sample sizes reported in the literature to dateappear to be inadequate to ensure that saturation was achieved. Secondly, that determining the level of positive spatial autocorrelation for a selection variable allows aggregate areal units to be targeted that will better suit purposeful sampling designs. And thirdly, that because because snowball sampling tends to be guided by positive spatial autocorrelation, communities should be targeted that display very high levels of such autocorrelation.
Type de document :
Article de périodique
Source :
Annals of the Association of American Geographers, issn : 0004-5608, 2013, vol. 103, n°. 5, p. 1107-1122, nombre de pages : 16, Références bibliographiques : 2 p.
Date :
2013
Editeur :
Pays édition : Etats-Unis, Washington, DC, Association of American Geographers
Langue :
Anglais
Anglais
Droits :
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Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI)