Intentional Sampling by Goal Optimization with Decoupling by Stochastic Perturbation

AIP Conference Proceedings 1490:189-201 (2012)
  Copy   BIBTEX

Abstract

Intentional sampling methods are non-probabilistic procedures that select a group of individuals for a sample with the purpose of meeting specific prescribed criteria. Intentional sampling methods are intended for exploratory research or pilot studies where tight budget constraints preclude the use of traditional randomized representative sampling. The possibility of subsequently generalize statistically from such deterministic samples to the general population has been the issue of long standing arguments and debates. Nevertheless, the intentional sampling techniques developed in this paper explore pragmatic strategies for overcoming some of the real or perceived shortcomings and limitations of intentional sampling in practical applications.

Author's Profile

Julio Michael Stern
University of São Paulo

Analytics

Added to PP
2021-07-23

Downloads
142 (#50,260)

6 months
53 (#24,783)

Historical graph of downloads since first upload
This graph includes both downloads from PhilArchive and clicks on external links on PhilPapers.
How can I increase my downloads?