EconPapers    
Economics at your fingertips  
 

User Control versus Randomisation in Geographical Probability Sampling: A Compromise Solution Using Controlled Sampling

L G O'Brien
Additional contact information
L G O'Brien: Department of Geography, University of Durham, Durham DH1 3LE, England

Environment and Planning A, 1987, vol. 19, issue 7, 949-958

Abstract: Probability samples based on some variant of random selection are often used in geography to obtain data suitable for analysis by inductive statistics. However, because geographical populations are frequently skew or irregularly distributed such samples may not always possess desirable spatial properties. Ideally, the researcher would wish to exert control over the composition of the sample while continuing to use random selection. The purpose of this paper is to present a method which can facilitate this—controlled sampling—and illustrate it using retailing data collected for the Cardiff Consumer Panel Survey of 1982.

Date: 1987
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://journals.sagepub.com/doi/10.1068/a190949 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:sae:envira:v:19:y:1987:i:7:p:949-958

DOI: 10.1068/a190949

Access Statistics for this article

More articles in Environment and Planning A
Bibliographic data for series maintained by SAGE Publications ().

 
Page updated 2025-03-19
Handle: RePEc:sae:envira:v:19:y:1987:i:7:p:949-958