TITLE:
Random Route and Quota Sampling: Do They Offer Any Advantage over Probably Sampling Methods?
AUTHORS:
Vidal Díaz de Rada, Valentín Martínez Martín
KEYWORDS:
Sampling Methods, Random Sampling, Multistage Cluster Sampling, Random Route Method, Quota Sampling
JOURNAL NAME:
Open Journal of Statistics,
Vol.4 No.5,
August
15,
2014
ABSTRACT: The aim of
this paper is to compare sample quality across two probability samples and one
that uses probabilistic cluster sampling combined with random route and quota
sampling within the selected clusters in order to define the ultimate survey
units. All of them use the face-to-face interview as the survey procedure. The
hypothesis to be tested is that it is possible to achieve the same degree of representativeness
using a combination of random route sampling and quota sampling (with
substitution) as it can be
achieved by means of household sampling (without substitution) based on the
municipal register of inhabitants. We have found such marked differences in the
age and gender distribution of the probability sampling, where the deviations
exceed 6%. A different picture emerges when it comes to comparing the
employment variables, where the quota sampling overestimates the economic
activity rate (2.5%) and the unemployment rate (8%) and underestimates the
employment rate (3.46%).